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How to Write the Dissertation Aims and Objectives – Guide & Examples

Published by Grace Graffin at January 27th, 2023 , Revised On October 9, 2023

Aims and objectives are among the essential aspects of a dissertation. If you write aims and objectives effectively, they can act as a foundation to give your research clarity and focus.

This article will provide you with all the necessary information regarding aims and objectives, their differences, writing tips , and the common mistakes you should avoid while writing them.

The aim is often a single sentence or a short paragraph that describes your dissertation’s main goal and intent. It tells what you hope to achieve at the end. You should write the aim so that it becomes identifiable when it is achieved with the completion of your dissertation .

The aim is written in a subsection of the introduction to clarify the overall purpose of the dissertation .

Example: It is often observed that employees in culturally diverse workplaces struggle to work effectively in a team. A probable cause of this issue is bullying at the workplace. This research investigates the impact of bullying on employee job satisfaction at culturally diverse workplaces and the resulting loss of employee productivity. This research will use surveys and case study analysis to analyze the impact of bullying on employees.

The objectives in a dissertation describe the ways through which you intend to achieve the research aim. They are specific statements that break down the aim into several smaller key sections of the overall research. Suitable objectives can help you stay focused and conduct research in the direction of your aim.

The number of objectives should be realistic; usually, between three to six, and each one should be possible to achieve. The following example shows the objectives for the previously-mentioned dissertation aim.

1. identification of the behaviors that are considered as bullying 2. exploring the factors that cause bullying at a culturally diverse workplace 3. analyzing the relationship between bullying and job satisfaction of employees 4. providing suitable recommendations on minimizing the bullying at the workplace

The objectives of a dissertation should be SMART.

• Specific: should be precise, focused, and well-defined
• Measurable: the progress should be measurable, and you should be able to determine when you have achieved an objective.
• Achievable: you should be able to carry out the required action within your available resources
• Relevant: should be related to the dissertation aim
• Time-bound: should be possible within the available time

Differences between aims and objectives

Aims and objectives are often mixed, but there are clear differences between them.

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How to write aims and objectives?

There is no particular way or standard to write the aims and objectives. Different researchers have different writing styles, and often it can be influenced by your research supervisor. However, you should follow certain basic principles while writing aims and objectives in a dissertation.

Writing the aim statement

The aim statement should cover the following essential elements.

• Why is the research necessary? (covers the underlying problem on which the study is to be conducted)
• What is the research about? (description of the research title)
• How are you going to conduct it? (a brief statement of intended research methods)

An appropriate aim clearly defines the research purpose without confusing the reader. If you struggle to explain your research and its importance in simpler terms, you should consider refining your research to clarify it further.

Writing objectives

The objectives describe how you would achieve your research aim. You can do this through the following steps,

• The first one to two objectives can be applied to the literature review . (Verbs to be used: investigate, examine, study)
• One objective can be applied to the methodology portion. (Verbs to be used: collect, select, demonstrate, estimate)
• Two to three objectives can cover the critical evaluation or discussion chapters (Verbs to be used: analyze, compare, evaluate)
• The final objective will cover the conclusion or recommendation portion. (Verbs to be used: conclude, recommend)

Instead of writing like a paragraph, the objectives should be written as a numbered list to give them more clarity.

How many aims and objectives should be there?

It depends upon the topic of your research and mainly upon your supervisor’s requirements. Generally, a dissertation has a single broad statement as the research aim. However, it is acceptable to include a main aim along with two to three subsidiary aims.

Similarly, the number of objectives should be realistic and sufficient to measure the progress regarding the achievement of the research aim. Their number can generally vary from three to six depending upon the aim.

Common mistakes to avoid while writing research aims and objectives

• Writing a broad research aim

Writing a broad research aim is a common mistake, and it often becomes difficult to achieve. It may create a problem when you are asked to prove how you have achieved your aims during your  viva defense . It would be best to narrow your study to a specific area in the early stages of the dissertation.

• Formulating overlapping research objectives

The objectives should be written such that they are measurable and distinct from each other. If they overlap, it makes it difficult to structure your dissertation properly in specific chapters.

• Setting unrealistic aims

Students often get over-ambitious while describing the research aim and face problems afterward in achieving those aims. You should avoid this mistake and be realistic about what you can achieve in the available time and resources.

Aims and objectives are the sections that require significant time and attention to avoid future hassles while conducting research and writing your dissertation.

Frequently Asked Questions

How to set dissertation aims and objectives.

To set dissertation aims and objectives, define your research goals clearly. Aims state what you want to achieve, while objectives outline specific, measurable steps to reach those goals. Ensure they align with your research question and contribute to your study’s significance.

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One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and your reader clarity, with your aims indicating what is to be achieved, and your objectives indicating how it will be achieved.

Introduction

There is no getting away from the importance of the aims and objectives in determining the success of your research project. Unfortunately, however, it is an aspect that many students struggle with, and ultimately end up doing poorly. Given their importance, if you suspect that there is even the smallest possibility that you belong to this group of students, we strongly recommend you read this page in full.

This page describes what research aims and objectives are, how they differ from each other, how to write them correctly, and the common mistakes students make and how to avoid them. An example of a good aim and objectives from a past thesis has also been deconstructed to help your understanding.

What Are Aims and Objectives?

Research aims.

A research aim describes the main goal or the overarching purpose of your research project.

In doing so, it acts as a focal point for your research and provides your readers with clarity as to what your study is all about. Because of this, research aims are almost always located within its own subsection under the introduction section of a research document, regardless of whether it’s a thesis , a dissertation, or a research paper .

A research aim is usually formulated as a broad statement of the main goal of the research and can range in length from a single sentence to a short paragraph. Although the exact format may vary according to preference, they should all describe why your research is needed (i.e. the context), what it sets out to accomplish (the actual aim) and, briefly, how it intends to accomplish it (overview of your objectives).

To give an example, we have extracted the following research aim from a real PhD thesis:

Example of a Research Aim

The role of diametrical cup deformation as a factor to unsatisfactory implant performance has not been widely reported. The aim of this thesis was to gain an understanding of the diametrical deformation behaviour of acetabular cups and shells following impaction into the reamed acetabulum. The influence of a range of factors on deformation was investigated to ascertain if cup and shell deformation may be high enough to potentially contribute to early failure and high wear rates in metal-on-metal implants.

Note: Extracted with permission from thesis titled “T he Impact And Deformation Of Press-Fit Metal Acetabular Components ” produced by Dr H Hothi of previously Queen Mary University of London.

Research Objectives

Where a research aim specifies what your study will answer, research objectives specify how your study will answer it.

They divide your research aim into several smaller parts, each of which represents a key section of your research project. As a result, almost all research objectives take the form of a numbered list, with each item usually receiving its own chapter in a dissertation or thesis.

Following the example of the research aim shared above, here are it’s real research objectives as an example:

Example of a Research Objective

• Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.
• Investigate the number, velocity and position of impacts needed to insert a cup.
• Determine the relationship between the size of interference between the cup and cavity and deformation for different cup types.
• Investigate the influence of non-uniform cup support and varying the orientation of the component in the cavity on deformation.
• Examine the influence of errors during reaming of the acetabulum which introduce ovality to the cavity.
• Determine the relationship between changes in the geometry of the component and deformation for different cup designs.
• Develop three dimensional pelvis models with non-uniform bone material properties from a range of patients with varying bone quality.
• Use the key parameters that influence deformation, as identified in the foam models to determine the range of deformations that may occur clinically using the anatomic models and if these deformations are clinically significant.

It’s worth noting that researchers sometimes use research questions instead of research objectives, or in other cases both. From a high-level perspective, research questions and research objectives make the same statements, but just in different formats.

Taking the first three research objectives as an example, they can be restructured into research questions as follows:

Restructuring Research Objectives as Research Questions

• Can finite element models using simplified experimentally validated foam models to represent the acetabulum together with explicit dynamics be used to mimic mallet blows during cup/shell insertion?
• What is the number, velocity and position of impacts needed to insert a cup?
• What is the relationship between the size of interference between the cup and cavity and deformation for different cup types?

Difference Between Aims and Objectives

Hopefully the above explanations make clear the differences between aims and objectives, but to clarify:

• The research aim focus on what the research project is intended to achieve; research objectives focus on how the aim will be achieved.
• Research aims are relatively broad; research objectives are specific.
• Research aims focus on a project’s long-term outcomes; research objectives focus on its immediate, short-term outcomes.
• A research aim can be written in a single sentence or short paragraph; research objectives should be written as a numbered list.

How to Write Aims and Objectives

Before we discuss how to write a clear set of research aims and objectives, we should make it clear that there is no single way they must be written. Each researcher will approach their aims and objectives slightly differently, and often your supervisor will influence the formulation of yours on the basis of their own preferences.

Regardless, there are some basic principles that you should observe for good practice; these principles are described below.

Your aim should be made up of three parts that answer the below questions:

• Why is this research required?
• What is this research about?
• How are you going to do it?

The easiest way to achieve this would be to address each question in its own sentence, although it does not matter whether you combine them or write multiple sentences for each, the key is to address each one.

The first question, why , provides context to your research project, the second question, what , describes the aim of your research, and the last question, how , acts as an introduction to your objectives which will immediately follow.

Scroll through the image set below to see the ‘why, what and how’ associated with our research aim example.

Note: Your research aims need not be limited to one. Some individuals per to define one broad ‘overarching aim’ of a project and then adopt two or three specific research aims for their thesis or dissertation. Remember, however, that in order for your assessors to consider your research project complete, you will need to prove you have fulfilled all of the aims you set out to achieve. Therefore, while having more than one research aim is not necessarily disadvantageous, consider whether a single overarching one will do.

Research Objectives

Each of your research objectives should be SMART :

• Specific – is there any ambiguity in the action you are going to undertake, or is it focused and well-defined?
• Measurable – how will you measure progress and determine when you have achieved the action?
• Achievable – do you have the support, resources and facilities required to carry out the action?
• Relevant – is the action essential to the achievement of your research aim?
• Timebound – can you realistically complete the action in the available time alongside your other research tasks?

In addition to being SMART, your research objectives should start with a verb that helps communicate your intent. Common research verbs include:

Table of Research Verbs to Use in Aims and Objectives

Last, format your objectives into a numbered list. This is because when you write your thesis or dissertation, you will at times need to make reference to a specific research objective; structuring your research objectives in a numbered list will provide a clear way of doing this.

To bring all this together, let’s compare the first research objective in the previous example with the above guidance:

Checking Research Objective Example Against Recommended Approach

Research Objective:

1. Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.

Checking Against Recommended Approach:

Q: Is it specific? A: Yes, it is clear what the student intends to do (produce a finite element model), why they intend to do it (mimic cup/shell blows) and their parameters have been well-defined ( using simplified experimentally validated foam models to represent the acetabulum ).

Q: Is it measurable? A: Yes, it is clear that the research objective will be achieved once the finite element model is complete.

Q: Is it achievable? A: Yes, provided the student has access to a computer lab, modelling software and laboratory data.

Q: Is it relevant? A: Yes, mimicking impacts to a cup/shell is fundamental to the overall aim of understanding how they deform when impacted upon.

Q: Is it timebound? A: Yes, it is possible to create a limited-scope finite element model in a relatively short time, especially if you already have experience in modelling.

Q: Does it start with a verb? A: Yes, it starts with ‘develop’, which makes the intent of the objective immediately clear.

Q: Is it a numbered list? A: Yes, it is the first research objective in a list of eight.

Mistakes in Writing Research Aims and Objectives

1. making your research aim too broad.

Having a research aim too broad becomes very difficult to achieve. Normally, this occurs when a student develops their research aim before they have a good understanding of what they want to research. Remember that at the end of your project and during your viva defence , you will have to prove that you have achieved your research aims; if they are too broad, this will be an almost impossible task. In the early stages of your research project, your priority should be to narrow your study to a specific area. A good way to do this is to take the time to study existing literature, question their current approaches, findings and limitations, and consider whether there are any recurring gaps that could be investigated .

Note: Achieving a set of aims does not necessarily mean proving or disproving a theory or hypothesis, even if your research aim was to, but having done enough work to provide a useful and original insight into the principles that underlie your research aim.

2. Making Your Research Objectives Too Ambitious

Be realistic about what you can achieve in the time you have available. It is natural to want to set ambitious research objectives that require sophisticated data collection and analysis, but only completing this with six months before the end of your PhD registration period is not a worthwhile trade-off.

3. Formulating Repetitive Research Objectives

Each research objective should have its own purpose and distinct measurable outcome. To this effect, a common mistake is to form research objectives which have large amounts of overlap. This makes it difficult to determine when an objective is truly complete, and also presents challenges in estimating the duration of objectives when creating your project timeline. It also makes it difficult to structure your thesis into unique chapters, making it more challenging for you to write and for your audience to read.

Fortunately, this oversight can be easily avoided by using SMART objectives.

Hopefully, you now have a good idea of how to create an effective set of aims and objectives for your research project, whether it be a thesis, dissertation or research paper. While it may be tempting to dive directly into your research, spending time on getting your aims and objectives right will give your research clear direction. This won’t only reduce the likelihood of problems arising later down the line, but will also lead to a more thorough and coherent research project.

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How to Write Aims and Objectives for your Dissertation or Thesis?

Introduction

Understanding aims and objectives, crafting aims, break it down into objectives, developing specific objectives, align with research questions, consider feasibility, review and refine, seek feedback, documenting aims and objectives.

In a PhD or Post Graduate dissertation, the aims and objectives play a crucial role in shaping the research process and ensuring focus. They provide a clear roadmap for your study and serve as the guiding principles that steer your research in the right direction.

Aims represent the broader purpose or the overarching goal of your research. They define what you want to achieve with your dissertation. For example, let’s say you’re conducting a study on renewable energy sources. Your aim could be to analyze the economic viability and environmental impact of solar energy adoption in residential areas.

Objectives, on the other hand, break down the aim into specific, measurable, and achievable targets that help you accomplish your research goal. They outline the specific steps or tasks you need to undertake to fulfill the aim. Continuing with the previous example, some objectives could be:

• Evaluate the current state of solar energy technologies and their efficiency.
• Assess the economic costs and benefits associated with the installation of solar panels in residential areas.
• Analyze the environmental impact of solar energy adoption in terms of carbon emissions reduction.
• Investigate the potential barriers to the widespread adoption of solar energy in residential communities.
• Develop recommendations for policymakers and stakeholders to promote the use of solar energy in residential areas.

These objectives, when combined, address different aspects related to the aim of analyzing the economic viability and environmental impact of solar energy adoption. Each objective guides a specific aspect of the research and contributes to answering the research questions.

By having clear aims and objectives, you establish a solid framework for your study. They help you stay focused on the main purpose of your research and prevent you from getting sidetracked or overwhelmed by tangential topics. Moreover, they provide clarity to both you and your readers, ensuring that your research remains coherent and well-structured.

In summary, clear aims and objectives are instrumental in guiding the research process of a PhD dissertation. They provide a roadmap, define the research goal, and break it down into specific targets. Through the example provided, it is evident how aims and objectives bring focus to a study on renewable energy sources and solar energy adoption in residential areas.

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Aims and objectives play a crucial role in guiding research projects. It’s important to define these terms and differentiate between them to ensure a clear focus in your work.

Aims represent the broader purpose or goal of your study. They define what you aim to achieve through your research project. Aims provide the overarching context and direction for your work, guiding the selection of topics, methodologies, and outcomes.

Example: Suppose you’re working on a PhD dissertation in computer science with a focus on natural language processing. Your aim could be: “To develop an efficient and accurate algorithm for sentiment analysis in social media data.”

In this example, the aim highlights the objective of creating an algorithm specifically for sentiment analysis in social media data, indicating the main objective of your research.

Objectives break down the aim into specific, measurable, and achievable targets that contribute to achieving the overall goal. They are more focused and concrete than aims, outlining the steps or tasks necessary to fulfill the aim. Objectives serve as the building blocks of your research, guiding the implementation and evaluation of your work.

Example: Continuing with the previous aim, let’s define some specific objectives:

• Collect and preprocess a large dataset of social media posts for sentiment analysis.
• Explore and compare existing sentiment analysis techniques to identify their limitations and strengths.
• Design and develop a novel algorithm that addresses the limitations of current approaches.
• Implement the algorithm and evaluate its performance on the collected dataset.
• Analyze the results and compare them with existing state-of-the-art sentiment analysis methods.

These objectives, when combined, address different aspects necessary to fulfill the aim of developing an efficient and accurate sentiment analysis algorithm for social media data. Each objective represents a specific task or milestone that contributes to the overall research goal.

The relationship between aims and objectives is critical in driving research. Objectives are derived from the aim and provide the means to accomplish it. They act as stepping stones, guiding the researcher towards achieving the broader aim.

In summary, aims provide the broader context and goal, while objectives break down the aim into specific tasks and milestones. Together, they ensure focus and direction in your research, guiding the selection of topics, methodologies, and outcomes. The objectives serve as the means to achieve the overall aim, highlighting the relationship between aims and objectives in driving research in the computer science domain.

Formulating the overarching aim of your research is a crucial step in defining the direction and purpose of your dissertation. The aim represents the primary goal or intention of your study, and crafting it effectively is essential for setting the foundation of your research.

Research Topic: Enhancing cybersecurity in cloud computing environments.

In this example, the aim focuses on improving cybersecurity in the context of cloud computing. The aim should be formulated in a concise and focused manner that aligns with the research topic. Here’s an example of how the aim could be crafted effectively:

Aim: Develop an efficient and robust security framework for ensuring data confidentiality, integrity, and availability in cloud computing environments.

The above aim encapsulates the overall goal of the research, which is to develop a security framework for enhancing cybersecurity in cloud computing. It clearly states the intention to address key aspects such as data confidentiality, integrity, and availability. The aim is concise, specific, and directly aligned with the research topic.

The significance of a well-defined aim cannot be overstated. It serves as a guiding beacon throughout your research journey, providing a clear direction and purpose. A well-crafted aim helps you stay focused and ensures that your efforts are aligned with the research’s core objectives. It also helps you communicate the purpose of your study to others, including your advisor, peers, and potential readers of your dissertation.

Additionally, an effective aim sets the stage for the subsequent development of specific objectives and research questions. It serves as a foundation upon which you can break down the aim into smaller, manageable objectives that contribute to achieving the overall research goal. Each objective should align with the aim and work together harmoniously to address the research questions and gaps in the field.

Moreover, a concise and aligned aim allows readers to quickly grasp the essence of your research. It provides them with a clear understanding of the research’s scope and purpose. By stating the aim concisely and aligning it with the research topic, you demonstrate your ability to articulate the core objective of your study in a succinct manner.

In summary, crafting effective aims involves formulating the overarching goal or intention of your research in a concise and focused manner. A well-defined aim sets the direction for your dissertation, guiding your efforts and ensuring alignment with the research topic. It serves as a foundation for the development of specific objectives and research questions. By presenting a clear and aligned aim, you convey the purpose of your study to others and demonstrate your ability to articulate the core objective of your research.

After defining the aim of your research, it’s important to break it down into smaller, manageable objectives. These objectives should address key research questions or subtopics that are necessary to achieve the overall aim. Additionally, objectives should be specific, measurable, and utilize action verbs to describe the intended actions or achievements.

Example: Suppose the aim of your research is to develop a recommendation system for an e-commerce platform. Here are some examples of specific objectives:

• Action Verbs: Analyze, Identify
• Description: Gather and analyze user preferences and historical data from the e-commerce platform to identify patterns in user behavior and item preferences.
• Action Verbs: Design, Implement
• Description: Develop and implement collaborative filtering algorithms, such as user-based or item-based methods, to generate personalized recommendations based on user similarities or item similarities.
• Action Verbs: Incorporate
• Description: Integrate machine learning techniques, such as matrix factorization or deep learning models, into the recommendation system to improve the accuracy and personalization of the recommendations.
• Action Verbs: Evaluate
• Description: Conduct experiments and evaluate the performance of the recommendation system using appropriate evaluation metrics, such as precision, recall, or mean average precision, to assess the effectiveness and efficiency of the system.
• Action Verbs: Optimize
• Description: Identify and implement optimization techniques, such as parallel computing or distributed systems, to enhance the scalability and efficiency of the recommendation algorithm, allowing it to handle large-scale datasets and real-time recommendations.

By breaking down the aim into these specific objectives, you address key components of developing a recommendation system, such as data analysis, algorithm design, evaluation, and optimization. Each objective represents a distinct step that contributes to achieving the overall aim.

Importantly, these objectives are specific and measurable, allowing you to determine whether you have successfully achieved them. For instance, you can measure the accuracy of the recommendation system, evaluate its performance against baseline models, or assess its scalability in terms of handling large datasets.

In summary, when conducting research, breaking down the aim into specific objectives helps in managing the workload and providing a clear roadmap for your research. These objectives should address key research questions or subtopics, be specific and measurable, and use action verbs to describe the intended actions or achievements. By following this approach, you can ensure a systematic and focused research process.

To develop specific objectives for your research, you need to break down the overarching aim into smaller, measurable objectives. These objectives should be clear, specific, and actionable, providing a roadmap for your research and guiding the entire research process.

Aim: Develop a machine learning-based system for automated sentiment analysis in social media data.

Objective 1: Conduct a comprehensive literature review on existing sentiment analysis techniques and methodologies.

• Breakdown: This objective focuses on reviewing the literature in the field of sentiment analysis, specifically examining the various techniques and methodologies that have been developed and applied. It involves gathering and analyzing research papers, books, and other relevant sources to gain a comprehensive understanding of the existing knowledge in sentiment analysis.

Objective 2: Collect a large dataset of social media posts for training and evaluation.

• Breakdown: This objective entails the collection of a substantial amount of social media data that will be used as input for training and evaluating the machine learning model. It involves designing data collection mechanisms, such as web scraping or utilizing available APIs, to gather a diverse set of social media posts from platforms like Twitter or Facebook.

Objective 3: Design and implement a machine learning algorithm capable of accurately detecting sentiment polarity in social media text.

• Breakdown: This objective focuses on the development of a machine learning algorithm tailored for sentiment analysis in social media text. It involves designing and implementing the necessary algorithms, selecting appropriate feature representations, and training a model to accurately classify sentiment polarity (positive, negative, or neutral) of social media posts.

Objective 4: Evaluate the performance of the developed sentiment analysis system against benchmark datasets and compare it with existing state-of-the-art approaches.

• Breakdown: This objective involves assessing the performance of the developed sentiment analysis system by evaluating it against established benchmark datasets. It requires selecting appropriate evaluation metrics and comparing the system’s performance with existing state-of-the-art approaches in sentiment analysis, such as accuracy, precision, recall, or F1 score.

The importance of clear, specific objectives cannot be overstated. These objectives provide a clear roadmap and direction for your research, guiding your efforts and ensuring that you stay on track. They help you structure your research activities, allocate resources effectively, and measure progress along the way.

Using action verbs to articulate objectives effectively is another crucial aspect. Action verbs convey specific actions or achievements that need to be accomplished. They provide clarity and precision, leaving no room for ambiguity. For example:

By using action verbs, you explicitly state what needs to be done or achieved in each objective, making it easier to track progress and assess the completion of objectives.

In summary, developing specific objectives involves breaking down the overarching aim into smaller, measurable objectives. Clear and specific objectives provide a roadmap for your research and guide the entire research process. By using action verbs, you articulate objectives effectively, leaving no room for ambiguity. These objectives help structure your research activities, allocate resources effectively, and measure progress, ultimately leading to the successful completion of your research.

When formulating objectives for your research, it is essential to ensure that they align with the research questions you have formulated. Each objective should contribute to addressing or answering a specific research question, creating a cohesive and focused research framework.

Example: Suppose your research in computer science focuses on developing an automated system for detecting and preventing cybersecurity threats. Here are examples of objectives aligned with research questions:

Research Question: How can machine learning algorithms be utilized to detect and mitigate cybersecurity threats effectively?

Objective 1: Evaluate and compare different machine learning algorithms for cybersecurity threat detection.

• Description: Explore and assess various machine learning algorithms, such as decision trees, random forests, or neural networks, to identify the most suitable approach for detecting cybersecurity threats accurately and efficiently.

Objective 2: Develop a dataset representative of diverse cybersecurity threats.

• Description: Create a comprehensive dataset containing various types of cybersecurity threats, including malware, phishing attacks, and network intrusions, to train and evaluate the machine learning models effectively.

Research Question: What are the key challenges and vulnerabilities in existing cybersecurity systems that need to be addressed?

Objective 3: Conduct a systematic analysis of existing cybersecurity systems and identify vulnerabilities.

• Description: Analyze and evaluate existing cybersecurity systems, such as intrusion detection systems or antivirus software, to identify vulnerabilities, weaknesses, and potential areas of improvement that can inform the development of a more robust automated system.

Objective 4: Propose novel techniques to enhance the resilience of the cybersecurity system.

• Description: Develop innovative approaches, such as anomaly detection algorithms or behavior-based analysis techniques, to enhance the resilience of the automated cybersecurity system and address the identified vulnerabilities.

By aligning the objectives with the research questions, you ensure that each objective contributes to addressing a specific aspect of your research. For example, Objective 1 directly addresses the research question regarding the utilization of machine learning algorithms for cybersecurity threat detection. Objective 3 focuses on analyzing existing systems to identify vulnerabilities, which is in line with the question about challenges and vulnerabilities in existing cybersecurity systems.

The alignment between research questions and objectives helps maintain a clear focus on the research objectives and ensures that your efforts are directed towards addressing the research questions. It also enhances the coherence of your research, as each objective becomes a stepping stone towards answering the research questions and achieving the overall aim of your study.

In summary, aligning objectives with research questions is crucial in research. It ensures that each objective contributes to answering or addressing a specific research question, creating a logical and cohesive framework for your study. By establishing this alignment, you can maintain a clear focus on the research objectives and make meaningful contributions to the field.

When setting objectives for your research, it is important to consider their feasibility. Feasibility refers to the realistic achievability of your objectives within the scope of your PhD research, taking into account available resources, time constraints, and other practical limitations.

Example: Suppose your research focuses on developing a new algorithm for real-time video processing and analysis. Here are examples of objectives that consider feasibility:

Objective 1: Implement the real-time video processing algorithm on a high-performance computing cluster.

• Feasibility Considerations: Before setting this objective, assess whether you have access to a high-performance computing cluster and the necessary resources (e.g., hardware, software, computational power) to support the implementation and testing of the algorithm. If such resources are available within your research environment or institution, this objective is feasible.

Objective 2: Collect and annotate a large-scale video dataset for algorithm training and evaluation.

• Feasibility Considerations: Consider the practical aspects of collecting and annotating a large-scale video dataset. Evaluate the time, manpower, and equipment required for this task. Assess whether you have access to the necessary resources (e.g., cameras, storage, annotation tools) and the capability to manage and process such a dataset. If these resources and capabilities are available within your research context, this objective is feasible.

Objective 3: Collaborate with industry partners to obtain real-world video data for testing and validation.

• Feasibility Considerations: Evaluate the feasibility of establishing collaborations with industry partners to obtain real-world video data. Consider factors such as data sharing agreements, legal and privacy considerations, and the willingness of industry partners to provide access to their data. Assess the potential challenges and limitations that may arise during this collaboration process. If such collaborations are feasible and can be established within the constraints of your research, this objective is feasible.

By considering feasibility, you ensure that your objectives are realistically achievable within the resources, time, and other constraints of your PhD research. It helps you avoid setting objectives that are too ambitious or beyond the scope of what you can reasonably accomplish.

Feasibility assessment is crucial in ensuring the successful completion of your research project. It allows you to allocate resources effectively, manage your time, and avoid potential pitfalls or setbacks that could hinder your progress. By setting feasible objectives, you can maintain a practical and manageable research plan that is more likely to lead to meaningful outcomes within the given constraints.

In summary, considering feasibility when setting objectives in computer science research is essential. Assess the available resources, time constraints, and practical limitations to ensure that your objectives are realistically achievable within the scope of your PhD research. By doing so, you can plan and execute your research effectively, making the most of the resources at your disposal and increasing the likelihood of successful outcomes.

Once you have defined your aims and objectives for your research, it’s important to review and refine them to ensure clarity, coherence, and logical flow. This step allows you to make any necessary revisions to ensure that your aims and objectives accurately reflect the scope and purpose of your research.

Example: Suppose your research in computer science focuses on developing a mobile application for enhancing cybersecurity awareness among smartphone users. Here’s an example of reviewing and refining aims and objectives:

Aim: Develop a mobile application for enhancing cybersecurity awareness among smartphone users.

Objective 1: Conduct a comprehensive literature review on cybersecurity awareness strategies and mobile application design principles.

• Review and Refinement: Upon review, you find that the objective is clear and aligned with the aim. However, you decide to refine it to include specific aspects you intend to cover in the literature review, such as user education techniques, persuasive design elements, and existing cybersecurity awareness mobile applications.

Objective 2: Design and develop a user-friendly mobile application prototype that delivers educational content and interactive features.

• Review and Refinement: During the review, you realize that the objective lacks specificity regarding the educational content and interactive features. You refine it to explicitly mention the inclusion of topics like phishing prevention, password management, and interactive quizzes to reinforce learning.

Objective 3: Conduct usability testing and collect feedback from potential users to evaluate the effectiveness of the mobile application.

• Review and Refinement: While reviewing, you realize that the objective could benefit from additional information. You refine it to include details such as the target user group (e.g., smartphone users aged 18-35), the number of participants you plan to involve in the usability testing, and the specific metrics you will use to evaluate the effectiveness of the application.

By reviewing and refining your aims and objectives, you ensure that they accurately capture the scope and purpose of your research. It helps you identify any gaps, ambiguities, or areas that need further clarification. Through this process, you can enhance the clarity, coherence, and logical flow of your aims and objectives, making them more robust and aligned with your research goals.

Additionally, reviewing and refining your aims and objectives allows you to align them with the current state of knowledge in the field. As you conduct literature reviews and gain more insights into existing research, you may discover the need to make adjustments to your aims and objectives to reflect the most relevant and up-to-date information.

In summary, reviewing and refining aims and objectives in research is essential to ensure clarity, coherence, and logical flow. By carefully reviewing each aim and objective, you can identify areas for improvement, refine them to include specific details, and align them with the current state of knowledge in the field. This process enhances the accuracy and effectiveness of your aims and objectives, providing a strong foundation for your research.

Once you have developed your aims and objectives for your research, it is important to seek feedback from your supervisor or peers. Sharing your aims and objectives with others allows you to gather valuable insights, suggestions, and perspectives that can help refine and improve your objectives, ensuring they are appropriate and aligned with your research.

Imagine you have formulated the following objectives for your computer science research on developing an intelligent tutoring system:

Objective 1: Conduct a literature review on existing intelligent tutoring systems and their effectiveness in enhancing student learning outcomes.

Objective 2: Design and develop an adaptive learning algorithm to personalize the tutoring experience based on individual student needs.

Objective 3: Implement a user-friendly interface for the intelligent tutoring system that provides an intuitive and engaging learning environment.

Objective 4: Evaluate the effectiveness of the developed intelligent tutoring system through a series of user studies and compare it with traditional tutoring methods.

At this stage, it would be beneficial to share your aims and objectives with your supervisor or peers to receive feedback. They can provide valuable insights and suggestions to help you refine and improve your objectives. For example:

• Your supervisor may suggest including a specific research question to further clarify the focus of Objective 1, such as “What are the key features and techniques used in successful intelligent tutoring systems?”
• Peers may provide feedback on the clarity and specificity of Objective 2, suggesting adding details on the specific adaptability mechanisms to be incorporated.
• Your supervisor might suggest considering the inclusion of usability testing as part of Objective 3 to ensure the interface meets the needs and preferences of the target users.
• Peers may offer suggestions on additional evaluation metrics or experimental setups to strengthen Objective 4 and provide more robust comparisons.

By seeking feedback, you open yourself up to constructive criticism and valuable perspectives that can help enhance the quality and effectiveness of your aims and objectives. Feedback from experienced researchers or knowledgeable peers can help you identify any potential gaps or weaknesses in your objectives and provide suggestions for improvement.

Remember that feedback is an iterative process, and it is important to carefully consider the suggestions provided while also critically evaluating them in the context of your research. Incorporating constructive feedback will help you refine your aims and objectives, ensuring they are robust, relevant, and aligned with your research goals.

In summary, seeking feedback on your aims and objectives is a valuable step in the process of developing your research. Sharing your objectives with your supervisor or peers allows you to gather insights, suggestions, and perspectives that can help refine and improve your objectives. Feedback helps ensure that your objectives are appropriate, clear, and aligned with your research goals, ultimately strengthening the overall quality of your research.

When writing your dissertation, it is crucial to properly document and present your aims and objectives. The placement and presentation of aims and objectives play a significant role in providing readers with a clear understanding of the research’s purpose and direction.

Placement: The aims and objectives of your research should be presented early on in your dissertation, typically within the introduction chapter. This allows readers to grasp the overall scope and intent of your research from the beginning. Placing them in the introduction helps set the context and provides a roadmap for the rest of the dissertation.

Presentation: When presenting aims and objectives, it is important to clearly distinguish between the two and articulate their role in driving the research. Here’s an example of how you can document aims and objectives:

Aims: Start by presenting the overarching aim of your research, which represents the primary goal or intention of your study. It should be a concise statement that captures the essence of your research focus.

For example:

Aim: The aim of this research is to develop a machine learning-based system for automated sentiment analysis in social media data.

Objectives: Following the aim, present a list of specific objectives that outline the key steps or milestones required to achieve the aim. Each objective should be clear, specific, and measurable. Here’s an example:

Objectives:

• Analyze existing sentiment analysis techniques and methodologies in the literature to identify their limitations and challenges.
• Collect and preprocess a large dataset of social media posts to serve as the training and evaluation data for the sentiment analysis system.
• Design and implement a machine learning algorithm capable of accurately detecting sentiment polarity in social media text.
• Evaluate the performance of the developed sentiment analysis system against existing state-of-the-art approaches, using appropriate evaluation metrics.
• Optimize the system for scalability and efficiency, allowing it to handle large volumes of real-time social media data.

By clearly documenting the aims and objectives in your dissertation, you provide readers with a clear understanding of the purpose and direction of your research. This enables them to follow your thought process and evaluate the relevance and significance of your study. Aims and objectives serve as guideposts that help readers navigate through your dissertation and understand the specific research questions you seek to address.

Moreover, the well-documented aims and objectives help you maintain focus throughout your research journey and provide a framework for organizing your dissertation. They establish the foundation upon which your methodology, analysis, and conclusions are built.

In summary, when documenting aims and objectives in a dissertation, it is important to place them in the introduction chapter and clearly present their role in guiding the research. Aims and objectives should be distinct, with the aim of capturing the overarching goal and the objectives outlining the specific steps or milestones to achieve it. By effectively documenting aims and objectives, you provide readers with a clear understanding of the research’s purpose and direction, facilitating their engagement with your work.

Crafting clear and well-defined aims and objectives is a critical aspect of writing a PhD or Post Graduate dissertation. These aims and objectives provide a solid foundation for your research, guiding your efforts and ensuring a focused and coherent study. Through this discussion, we have explored the importance of aims and objectives in a PhD dissertation and how they contribute to the research process.

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Aims and Objectives for Master’s Dissertations

Aims and Objectives for Master’s Dissertations. This blog will look at writing an ‘Aim’ statement and ‘Objectives’ for a Master’s thesis. It should also be helpful for final year projects at undergraduate level.

I have done 2 previous blogs on ‘Topic Selection’ and ‘Dissertation Title Writing’ that may also be of interest.

Here is a short video clip on writing the Aims and Objectives.

Where should the Aims and Objectives be?

The Aims and Objectives for your  Master’s Dissertations need to be in chapter 1, the introduction to the research project. Chapter 1 should be an introduction to the project, and not an introduction to the topic. The topic is covered in the Literature Review, usually chapter 2. However, there needs to be a few pages of background introduction to set the scene and the reasons for the research. Therefore, the Aims and Objectives should be around page 2, 3, or 4.

Tips for Writing the AIM Statement

There will be one overall AIM statement as described here. Sometimes a research project may contain several distinct aims. However, they need to fit together to an overall research AIM.

The AIM is really just a longer and more explanatory version of the research title. The AIM can be an expansion of the title to 3 to 6 sentences. Make sure you cover these three elements:

• Why is this research necessary – some background showing a problem.
• What is this research about – an expansion of the title.
• How is the research to be performed – a brief statement of the intended research methods.

Initially aim for 1 sentence for each item. Expanding to two sentences for each will be OK. The AIM statement should not exceed a paragraph or a quarter to a third of a page.

Example of an Aim Statement

Example: I will take a project title: “An investigation into Project Management Life-Cycles in the Automotive Industry: Honda as a case study.”

The AIM will need to include:

• Why: Oversupply and unfilled manufacturing capacity, and increasing innovation in the industry are causing all automotive companies problems. This states the problem.
• What: This project seeks to examine how Project Life Cycles are implemented in the Honda Motor Company.
• How: By case study analysis and comparison with other automotive companies.

Put those three sentences together and the AIM statement becomes:

Aim Statement: Oversupply and unfilled manufacturing capacity is leading to increasing innovation in the automotive industry. This requires all automotive companies to reduce their project life cycles to remain competitive. This project seeks to examine how Project Life Cycles are implemented in the Honda Motor Company. The research will use case study analysis and comparison of Honda Project Life Cycles implementation with that of other automotive companies.

The first part of the aim statement – the problem – is what needs to be covered in the first 2 or 3 pages of the introduction chapter. Some researchers may then introduce a secondary aim statement to complement the first.  In this example there may be a secondary AIM to distribute or publish the research findings.

Writing Objectives for a Master’s Dissertation

Nine Objectives

I suggest that 6-9 Objectives is an initial target. There are often comments that 9 may be too many. However, as a Project Manager my natural inclination is to break a project into manageable chunks of work. Also, if there are 9 objectives and one objective is not met, then there are still 8 objectives that are met.

The objectives when read alone should tell a story through the dissertation. This can be done by ensuring:

• 2 or 3 Objectives apply to the Literature Review – Demonstrating knowledge.  Verbs such as Research, Examine, Study, and Investigate are suitable.
• 1 Objectives apply to the Research Methodology – How the research is performed. These might include: Collect data, Select interviewees, Analyse results as examples.
• 2 or 3 Objectives focus on the Critical Evaluation or Discussion chapters. Verbs such as Analyse, Compare, Discuss, and Evaluate would be appropriate.
• There may be one or two final objectives. To Conclude, and/or To Recommend.

I have already issued blogs about the requirements of a Master’s Dissertation from the QAA perspective and the three elements of a Master’s Dissertation . Using the above approach to write the objectives will demonstrate that these requirements have been met.

When writing objectives, keep to just one verb, and avoid the use of ‘and’. If you are using ‘and’ then perhaps this objective should be broken into two separate objectives.

Don’t forget that the objectives will need to be repeated and commented on in the conclusion chapter of the dissertation.

Examples of Research Objectives

For the example AIM from earlier, here are some suggested project objectives. Note how they start broad, and become more specific:

• To examine the current status of the Automotive Industry
• Study Project Management as it applies to the Automotive Industry
• To research Project Life Cycles specifically as used within the Automotive Industry
• Identify suitable case studies concerning Automotive Project Life Cycles for evaluation
• To analyse the case studies
• Compare Project Life Cycles as demonstrated b the case study companies
• To critical evaluate the use of Project Life Cycles at Honda Motor Company
• Recommend improvements to the Honda Motor Company in their use of Project Life Cycles

Just reading the verbs tells a story through the dissertation. To examine, to study, to research, to identify, to analyse, to compare, to evaluate and to recommend.

Honda Motor Car

Higher Level Verbs

Don’t forget to use Blooms Higher level verbs when looking at the critical evaluation section. It is also important not to duplicate a verb. There are around 40-50 different verbs that you could use to write your objectives, and therefore it looks lazy to use the same verb more than once.

The Project Aim is an expansion of the title covering Why, What and How. The objectives should cover the whole dissertation from the Literature Review, through the Research Methodology, and to the Critical Evaluation and Conclusions.

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Formulating Research Aims and Objectives

Formulating research aim and objectives in an appropriate manner is one of the most important aspects of your thesis. This is because research aim and objectives determine the scope, depth and the overall direction of the research. Research question is the central question of the study that has to be answered on the basis of research findings.

Research aim emphasizes what needs to be achieved within the scope of the research, by the end of the research process. Achievement of research aim provides answer to the research question.

Research objectives divide research aim into several parts and address each part separately. Research aim specifies WHAT needs to be studied and research objectives comprise a number of steps that address HOW research aim will be achieved.

As a rule of dumb, there would be one research aim and several research objectives. Achievement of each research objective will lead to the achievement of the research aim.

Consider the following as an example:

Research title: Effects of organizational culture on business profitability: a case study of Virgin Atlantic

Research aim: To assess the effects of Virgin Atlantic organizational culture on business profitability

Following research objectives would facilitate the achievement of this aim:

• Analyzing the nature of organizational culture at Virgin Atlantic by September 1, 2022
• Identifying factors impacting Virgin Atlantic organizational culture by September 16, 2022
• Analyzing impacts of Virgin Atlantic organizational culture on employee performances by September 30, 2022
• Providing recommendations to Virgin Atlantic strategic level management in terms of increasing the level of effectiveness of organizational culture by October 5, 2022

Figure below illustrates additional examples in formulating research aims and objectives:

Formulation of research question, aim and objectives

Common mistakes in the formulation of research aim relate to the following:

1. Choosing the topic too broadly . This is the most common mistake. For example, a research title of “an analysis of leadership practices” can be classified as too broad because the title fails to answer the following questions:

a) Which aspects of leadership practices? Leadership has many aspects such as employee motivation, ethical behaviour, strategic planning, change management etc. An attempt to cover all of these aspects of organizational leadership within a single research will result in an unfocused and poor work.

b) An analysis of leadership practices in which country? Leadership practices tend to be different in various countries due to cross-cultural differences, legislations and a range of other region-specific factors. Therefore, a study of leadership practices needs to be country-specific.

c) Analysis of leadership practices in which company or industry? Similar to the point above, analysis of leadership practices needs to take into account industry-specific and/or company-specific differences, and there is no way to conduct a leadership research that relates to all industries and organizations in an equal manner.

Accordingly, as an example “a study into the impacts of ethical behaviour of a leader on the level of employee motivation in US healthcare sector” would be a more appropriate title than simply “An analysis of leadership practices”.

2. Setting an unrealistic aim . Formulation of a research aim that involves in-depth interviews with Apple strategic level management by an undergraduate level student can be specified as a bit over-ambitious. This is because securing an interview with Apple CEO Tim Cook or members of Apple Board of Directors might not be easy. This is an extreme example of course, but you got the idea. Instead, you may aim to interview the manager of your local Apple store and adopt a more feasible strategy to get your dissertation completed.

3. Choosing research methods incompatible with the timeframe available . Conducting interviews with 20 sample group members and collecting primary data through 2 focus groups when only three months left until submission of your dissertation can be very difficult, if not impossible. Accordingly, timeframe available need to be taken into account when formulating research aims and objectives and selecting research methods.

Moreover, research objectives need to be formulated according to SMART principle,

 where the abbreviation stands for specific, measurable, achievable, realistic, and time-bound.

Examples of SMART research objectives

At the conclusion part of your research project you will need to reflect on the level of achievement of research aims and objectives. In case your research aims and objectives are not fully achieved by the end of the study, you will need to discuss the reasons. These may include initial inappropriate formulation of research aims and objectives, effects of other variables that were not considered at the beginning of the research or changes in some circumstances during the research process.

John Dudovskiy

Library Guides

Dissertations 1: getting started: writing a proposal.

• Starting Your Dissertation
• Choosing A Topic and Researching
• Devising An Approach/Method
• Thinking Of A Title
• Writing A Proposal

What is a Proposal?

Before you start your dissertation, you may be asked to write a proposal for it.  

The purpose of a dissertation proposal is to provide a snapshot of what your study involves. Usually, after submission of the proposal you will be assigned a supervisor who has some expertise in your field of study. You should receive feedback on the viability of the topic, how to focus the scope, research methods, and other issues you should consider before progressing in your research. 

The research proposal should present the dissertation topic, justify your reasons for choosing it and outline how you are going to research it . You'll have to keep it brief, as word counts can vary from anywhere between 800 to 3,000 words at undergraduate, postgraduate and doctoral levels.  

It is worth bearing in mind that you are not bound by your proposal. Your project is likely going to  evolve and may move in a new direction . Your dissertation supervisor is aware that this may occur as you delve deeper into the literature in your field of study. Nevertheless, always discuss any major developments with your supervisor in the first instance.  

Reading for your Proposal

Before writing a proposal, you will need to read. A lot! But that doesn’t mean you must read everything. Be targeted! What do you really need to know?  

Instead of reading every page in every book, look for clues in chapter titles and introductions to narrow your focus down. Use abstracts from journal articles to check whether the material is relevant to your study and keep notes of your reading along with clear records of bibliographic information and page numbers for your references.  

Ultimately, your objective should be to create a dialogue between the theories and ideas you have read and your own thoughts. What is your personal perspective on the topic? What evidence is there that supports your point of view? Furthermore, you should ask questions about each text. Is it current or is it outdated? What argument is the author making? Is the author biased?  

Approaching your reading in this way ensures that you engage with the literature critically. You will demonstrate that you have done this in your mini literature review (see Proposal Structure box).  

If you have not yet started reading for your proposal, the Literature Review Guide offers advice on choosing a topic and how to conduct a literature search. Additionally, the Effective Reading Guide provides tips on researching and critical reading.  

Proposal Structure

So, how is a dissertation proposal typically structured? The structure of a proposal varies considerably.

This is a list of elements that might be required. Please check the dissertation proposal requirements and marking criteria on Blackboard or with your lecturers if you are unsure about the requirements.

Title : The title you have devised, so far - it can change throughout the dissertation drafting process! A good title is simple but fairly specific. Example: "Focus and concentration during revision: an evaluation of the Pomodoro technique."

Introduction/Background : Provides background and presents the key issues of your proposed research. Can include the following:

Rationale : Why is this research being undertaken, why is it interesting and worthwhile, also considering the existing literature?

Purpose : What do you intend to accomplish with your study, e.g. improve something or understand something? 

Research question : The main, overarching question your study seeks to answer. E.g. "How can focus and concentration be improved during revision?"

Hypothesis : Quantitative studies can use hypotheses in alternative to research questions. E.g. "Taking regular breaks significantly increases the ability to memorise information."

Aim : The main result your study seeks to achieve. If you use a research question, the aim echoes that, but uses an infinitive. E.g. "The aim of this research is to investigate how can focus and concentration be improved during revision."

Objectives : The stepping stones to achieve your aim. E.g. "The objectives of this research are 1) to review the literature on study techniques; 2) to identify the factors that influence focus and concentration; 3) to undertake an experiment on the Pomodoro technique with student volunteers; 4) to issue recommendations on focus and concentration for revision."

Literature review : Overview of significant literature around the research topic, moving from general (background) to specific (your subject of study). Highlight what the literature says, and does not say, on the research topic, identifying a gap(s) that your research aims to fill. 

Methods : Here you consider what methods you are planning to use for your research, and why you are thinking of them. What secondary sources (literature) are you going to consult? Are you going to use primary sources (e.g. data bases, statistics, interviews, questionnaires, experiments)? Are you going to focus on a case study? Is the research going to be qualitative or quantitative? Consider if your research will need ethical clearance.

Significance/Implications/Expected outcomes : In this section you reiterate what are you hoping to demonstrate. State how your research could contribute to debates in your particular subject area, perhaps filling a gap(s) in the existing works. 

Plan of Work : You might be asked to present your timeline for completing the dissertation. The timeline can be presented using different formats such as bullet points, table, Gantt chart. Whichever format you use, your plan of work should be realistic and should demonstrate awareness of the various elements of the study such as literature research, empirical work, drafting, re-drafting, etc.

Outline : Here you include a provisional table of contents for your dissertation. The structure of the dissertation can be free or prescribed by the dissertation guidelines of your course, so check that up. 

Reference List : The list should include the bibliographical information of all the sources you cited in the proposal, listed in alphabetical order. 

Most of the elements mentioned above are explained in the tabs of this guide!

Literature-based dissertations in the humanities

A literature-based dissertation in the humanities, however, might be less rigidly structured and may look like this: 

• Short introduction including background information on your topic, why it is relevant and how it fits into the literature. 
• Main body which outlines how you will organise your  chapters .
• Conclusion which states what you hope your study will achieve. 
• Bibliography .  

After Writing

Check your proposal! 

Have you shown that your research idea is: 

Ethical? 

Relevant? 

Feasible with the timeframe and resources available?  

Have you: 

Identified a clear research gap to focus on? 

Stated why your study is important? 

Selected a methodology that will enable you to gather the data you need? 

Use the marking criteria for dissertation proposals provided by your department to check your work.  

Locke, L.F.,  Spirduso, W.W. and Silverman, S.J. (2014).  Proposals that Work: A Guide for Planning Dissertations and Grant Proposals . Sage.

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• Last Updated: Aug 1, 2023 2:36 PM
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• FindAMasters
• Researching and Writing a Masters Dissertation

Written by Mark Bennett

All Masters programmes include some form of extended individual project. Research-focussed programmes, such as an MRes , may include multiple independent research components. Taught courses usually culminate with a substantial research task, referred to as the Masters dissertation or thesis.

This article talks about how long a Masters dissertation is and the structure it follows.Before you get started on your dissertation, you'll usually need to write a proposal. Read our full guide to Masters dissertation proposals for more information on what this should include!

On this page

What’s the difference between a masters dissertation and an undergraduate dissertation.

The Masters thesis is a bridge between undergraduate study and higher level postgraduate degrees such as the PhD .

A postgraduate dissertation may not look that different to its undergraduate equivalent. You’ll likely have to produce a longer piece of work but the foundations remain the same.

After all, one of the purposes of an undergraduate dissertation or final year project is to prepare you for more in-depth research work as a postgraduate. That said, there are some important differences between the two levels.

So, how long is a Masters dissertation? A Masters dissertation will be longer than the undergraduate equivalent – usually it’ll be somewhere between 15,000 and 20,000 words, but this can vary widely between courses, institutions and countries.

To answer your overall research question comprehensively, you’ll be expected to identify and examine specific areas of your topic. This can be like producing a series of shorter pieces of work, similar to those required by individual modules. However, there’s the additional requirement that they collectively support a broader set of conclusions.

This more involved Masters dissertation structure will:

• Give you the scope to investigate your subject in greater detail than is possible at undergraduate level
• Challenge you to be effective at organising your work so that its individual components function as stages in a coherent and persuasive overall argument
• Allow you to develop and hone a suitable research methodology (for example, choosing between qualitative and quantitative methods)

If the individual topics within your overall project require you to access separate sources or datasets, this may also have an impact on your research process.

As a postgraduate, you’ll be expected to establish and assert your own critical voice as a member of the academic community associated with your field .

During your Masters thesis you’ll need to show that you are not just capable of analysing and critiquing original data or primary source material. You should also demonstrate awareness of the existing body of scholarship relating to your topic .

So, if you’ll excuse the pun, a ‘Masters’ degree really is about achieving ‘mastery’ of your particular specialism and the dissertation is where you’ll demonstrate this: showing off the scholarly expertise and research skills that you’ve developed across your programme.

What’s the difference between a dissertation and a thesis?

A dissertation is a long piece of (usually) written work on the same topic. A thesis is a little more specific: it usually means something that presents an original argument based on the interpretation of data, statistics or content.

So, a thesis is almost always presented as a dissertation, but not all dissertations present a thesis.

Masters dissertation structure

As you can probably imagine, no two dissertations follow the exact same structure, especially given the differences found between Masters programmes from university to university and country to country .

That said, there are several key components that make up the structure of a typical Masters dissertation

How long is a Masters dissertation?

Most dissertations will typically be between 15,000 and 20,000 words long, although this can vary significantly depending on the nature of the programme.

You should also check with your university exactly which sections of the dissertation count towards the final word count (the abstract, bibliography and appendices won’t usually be included in the total).

Usually around 300 words long, the abstract is meant to be a concise summary of your dissertation. It should briefly cover the question(s) you aim to answer, your primary argument and your conclusion.

Introduction

The purpose of the introduction is to provide context for the rest of the dissertation, setting out your aims and the scope of what you want to achieve with your research. The introduction should give a clear overview of the dissertation’s chapters and will usually be around 1,000 words long.

Literature review

This part of the dissertation should examine the scholarship that has already been published in your field, presenting various arguments and counter-arguments while situating your own research within this wider body of work.

You should analyse and evaluate other publications and explain how your dissertation will contribute to the existing literature in your subject area. The literature review sometimes forms part of the introduction or follows immediately on from it. Most literature reviews are up to 1,000 words long.

Research methodology

Not all dissertations will require a section covering research methodology (Arts and Humanities dissertations won’t normally undertake the kind of research that involves a set methodology). However, if you are using a particular method to collect information for your dissertation, you should make sure to explain the rationale behind your choice of methodology. The word count for this part of the dissertation is usually around the 1,500 mark.

Those in the Arts and Humanities will usually outline their theoretical perspectives and approaches as part of the introduction, rather than requiring a detailed explanation of the methodology for their data collection and analysis.

Results / findings

If your research involves some form of survey or experiment, this is where you’ll present the results of your work. Depending on the nature of the study, this might be in the form of graphs, tables or charts – or even just a written description of what the research entailed and what the findings were.

This section forms the bulk of your dissertation and should be carefully structured using a series of related chapters (and sub-chapters). There should be a logical progression from one chapter to the next, with each part building on the arguments of its predecessor.

It can be helpful to think of your Masters dissertation as a series of closely interlinked essays, rather than one overwhelming paper. The size of this section will depend on the overall word count for your dissertation. However, to give you a rough idea for a 15,000-word dissertation, the discussion part will generally be about 12,000 words long.

Here you should draw together the threads of the previous discussion chapters and make your final concluding statements, drawing on evidence and arguments that you’ve already explored over the course of the dissertation. Explain the significance of your findings and point towards directions that future research could follow. This section of the Masters thesis will be around 1,500 words long.

References / bibliography

While planning and writing your dissertation, you should keep an extensive, organised record of any papers, sources or books you’ve quoted (or referred to). This will be a lot easier than leaving all of it until the end and struggling to work out where a particular quotation is from!

Appendices won’t be necessary in many dissertations, but you may need to include supplementary material to support your argument. This could be interview transcripts or questionnaires. If including such content within the body of the dissertation won’t be feasible – i.e. there wouldn’t be enough space or it would break the flow of your writing – you should consult with your supervisor and consider attaching it in an appendix.

It’s worth bearing in mind that these sections won’t always be discretely labelled in every dissertation. For example, everything up to ‘discussion’ might be covered in introductory chapter (rather than as distinct sections). If you’re unsure about the structure of your Masters dissertation, your supervisor will be able to help you map it out.

How does supervision work for a Masters dissertation?

As a Masters student at the dissertation stage you’ll usually be matched with an academic within your institution who will be tasked with guiding your work. This might be someone who has already taught you, or it may be another scholar whose research interests and expertise align well with what you want to do. You may be able to request a particular supervisor, but taught postgraduates are more likely to be assigned them by their department.

Specific arrangements with your supervisor will vary depending on your institution and subject area. They will usually meet with you at the beginning of the dissertation period to discuss your project and agree a suitable schedule for its undertaking. This timetable will probably set dates for:

• Subsequent discussions and progress checks
• The submission of draft chapters or sections
• Feedback appointments

Though your supervisor is there to help and advise you, it is important to remember that your dissertation is a personal research project with associated expectations of you as an independent scholar.

As a rule of thumb, you can expect your supervisor to read each part of your dissertation once at the draft stage and to offer feedback. Most will not have time to look at lots of subsequent revisions, but may respond favourably to polite requests for exceptions (provided their own workload permits it).

Inundating your supervisor with emails or multiple iterations of draft material is best avoided; they will have their own research to manage (as well as other supervision assignments) and will be able to offer better quality feedback if you stick to an agreed schedule.

How is a Masters dissertation assessed and examined?

On most courses your dissertation will be assessed by an external examiner (as well as additional members of faculty within your university who haven’t been responsible for supervising you), but these will read and critique the work you submit without personally questioning and testing you on it.

Though this examination process is not as challenging as the oral defence or ‘ viva voce ’ required for a PhD thesis, the grading of your Masters dissertation is still a fundamental component of your degree.

On some programmes the result awarded to a student’s dissertation may determine the upper grade-band that can be awarded to their degree.

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• Knowledge Base
• Dissertation

What Is a Dissertation? | 5 Essential Questions to Get Started

Published on 26 March 2020 by Jack Caulfield . Revised on 5 May 2022.

A dissertation is a large research project undertaken at the end of a degree. It involves in-depth consideration of a problem or question chosen by the student. It is usually the largest (and final) piece of written work produced during a degree.

The length and structure of a dissertation vary widely depending on the level and field of study. However, there are some key questions that can help you understand the requirements and get started on your dissertation project.

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When and why do you have to write a dissertation, who will supervise your dissertation, what type of research will you do, how should your dissertation be structured, what formatting and referencing rules do you have to follow, frequently asked questions about dissertations.

A dissertation, sometimes called a thesis, comes at the end of an undergraduate or postgraduate degree. It is a larger project than the other essays you’ve written, requiring a higher word count and a greater depth of research.

You’ll generally work on your dissertation during the final year of your degree, over a longer period than you would take for a standard essay . For example, the dissertation might be your main focus for the last six months of your degree.

Why is the dissertation important?

The dissertation is a test of your capacity for independent research. You are given a lot of autonomy in writing your dissertation: you come up with your own ideas, conduct your own research, and write and structure the text by yourself.

This means that it is an important preparation for your future, whether you continue in academia or not: it teaches you to manage your own time, generate original ideas, and work independently.

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During the planning and writing of your dissertation, you’ll work with a supervisor from your department. The supervisor’s job is to give you feedback and advice throughout the process.

The dissertation supervisor is often assigned by the department, but you might be allowed to indicate preferences or approach potential supervisors. If so, try to pick someone who is familiar with your chosen topic, whom you get along with on a personal level, and whose feedback you’ve found useful in the past.

How will your supervisor help you?

Your supervisor is there to guide you through the dissertation project, but you’re still working independently. They can give feedback on your ideas, but not come up with ideas for you.

You may need to take the initiative to request an initial meeting with your supervisor. Then you can plan out your future meetings and set reasonable deadlines for things like completion of data collection, a structure outline, a first chapter, a first draft, and so on.

Make sure to prepare in advance for your meetings. Formulate your ideas as fully as you can, and determine where exactly you’re having difficulties so you can ask your supervisor for specific advice.

Your approach to your dissertation will vary depending on your field of study. The first thing to consider is whether you will do empirical research , which involves collecting original data, or non-empirical research , which involves analysing sources.

Empirical dissertations (sciences)

An empirical dissertation focuses on collecting and analysing original data. You’ll usually write this type of dissertation if you are studying a subject in the sciences or social sciences.

• What are airline workers’ attitudes towards the challenges posed for their industry by climate change?
• How effective is cognitive behavioural therapy in treating depression in young adults?
• What are the short-term health effects of switching from smoking cigarettes to e-cigarettes?

There are many different empirical research methods you can use to answer these questions – for example, experiments , observations, surveys , and interviews.

When doing empirical research, you need to consider things like the variables you will investigate, the reliability and validity of your measurements, and your sampling method . The aim is to produce robust, reproducible scientific knowledge.

Non-empirical dissertations (arts and humanities)

A non-empirical dissertation works with existing research or other texts, presenting original analysis, critique and argumentation, but no original data. This approach is typical of arts and humanities subjects.

• What attitudes did commentators in the British press take towards the French Revolution in 1789–1792?
• How do the themes of gender and inheritance intersect in Shakespeare’s Macbeth ?
• How did Plato’s Republic and Thomas More’s Utopia influence nineteenth century utopian socialist thought?

The first steps in this type of dissertation are to decide on your topic and begin collecting your primary and secondary sources .

Primary sources are the direct objects of your research. They give you first-hand evidence about your subject. Examples of primary sources include novels, artworks and historical documents.

Secondary sources provide information that informs your analysis. They describe, interpret, or evaluate information from primary sources. For example, you might consider previous analyses of the novel or author you are working on, or theoretical texts that you plan to apply to your primary sources.

Dissertations are divided into chapters and sections. Empirical dissertations usually follow a standard structure, while non-empirical dissertations are more flexible.

Structure of an empirical dissertation

Empirical dissertations generally include these chapters:

• Introduction : An explanation of your topic and the research question(s) you want to answer.
• Literature review : A survey and evaluation of previous research on your topic.
• Methodology : An explanation of how you collected and analysed your data.
• Results : A brief description of what you found.
• Discussion : Interpretation of what these results reveal.
• Conclusion : Answers to your research question(s) and summary of what your findings contribute to knowledge in your field.

Sometimes the order or naming of chapters might be slightly different, but all of the above information must be included in order to produce thorough, valid scientific research.

Other dissertation structures

If your dissertation doesn’t involve data collection, your structure is more flexible. You can think of it like an extended essay – the text should be logically organised in a way that serves your argument:

• Introduction: An explanation of your topic and the question(s) you want to answer.
• Main body: The development of your analysis, usually divided into 2–4 chapters.
• Conclusion: Answers to your research question(s) and summary of what your analysis contributes to knowledge in your field.

The chapters of the main body can be organised around different themes, time periods, or texts. Below you can see some example structures for dissertations in different subjects.

• Political philosophy

This example, on the topic of the British press’s coverage of the French Revolution, shows how you might structure each chapter around a specific theme.

This example, on the topic of Plato’s and More’s influences on utopian socialist thought, shows a different approach to dividing the chapters by theme.

This example, a master’s dissertation on the topic of how writers respond to persecution, shows how you can also use section headings within each chapter. Each of the three chapters deals with a specific text, while the sections are organised thematically.

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Like other academic texts, it’s important that your dissertation follows the formatting guidelines set out by your university. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

Formatting guidelines concern things like:

• line spacing
• page numbers
• punctuation
• title pages
• presentation of tables and figures

If you’re unsure about the formatting requirements, check with your supervisor or department. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

How will you reference your sources?

Referencing means properly listing the sources you cite and refer to in your dissertation, so that the reader can find them. This avoids plagiarism by acknowledging where you’ve used the work of others.

Keep track of everything you read as you prepare your dissertation. The key information to note down for a reference is:

• The publication date
• Page numbers for the parts you refer to (especially when using direct quotes)

Different referencing styles each have their own specific rules for how to reference. The most commonly used styles in UK universities are listed below.

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The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

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Other students also liked, how to choose a dissertation topic | 8 steps to follow, how to write a dissertation proposal | a step-by-step guide, what is a literature review | guide, template, & examples.

What are the seven sections of a dissertation?

This is the second of three chapters about Dissertations . To complete this reader, read each chapter carefully and then unlock and complete our materials  to check your understanding.   

– Discuss the overall dissertation structure

– Explore the common elements of a dissertation

– Consider additional elements which may be added

Chapter 1: What is an academic dissertation?

Chapter 2: What are the seven sections of a dissertation?

Chapter 3: What is an effective dissertation topic?

When writing a dissertation , like any type of essay , it’s important that relatively inexperienced writers follow tried and trusted structures and methods so as to convey ideas, arguments and research as clearly and easily as possible. This chapter therefore offers one such prescribed structure that’s particularly used in social-science dissertations, such as for linguistics, psychology or anthropology. Although other subjects may of course use a slightly different number of sections, place these seven sections in a slightly different order, or expect a different weighting for each section, the example structure we’ve included below should cover most dissertation and thesis types that students will be required to produce.

1. The Abstract (5%)

Both the shortest and first-encountered section of a dissertation , the abstract  is intended to provide a very brief overview of the entire research project, highlighting to the reader the aims of the dissertation, the background and context of the investigation, the methodology that’s been used, the study’s key findings, and how this particular study has contributed to the field of knowledge.

2. The Introduction (15%)

Following the abstract , the purpose of the introduction is usually to describe the focus of the dissertation by reviewing the topic’s background and context. An introduction may also identify gaps in the research and how the writer intends to fill those gaps, as well as an outline of the scope of the investigation and the general and argumentative structure of the dissertation. 

3. The Literature Review (25%)

The largest section of a dissertation is usually the literature review , which aims to provide a detailed discussion of the existing research that’s most relevant to the investigation. This section usually includes a critical review of both non-research and research literature, as well as any theoretical perspectives that require understanding to support and contextualise the study. Additionally, identification and justification of the research gap being filled in this dissertation as well as an explanation of how all of the above features have informed the dissertation are generally included.

4. The Methodology (15%)

The methodology is usually where the primary (and original) research of the dissertation begins. The purpose of this section is to highlight and justify to the reader the approach, design and processes that were followed to collect the findings, such as whether qualitative or quantitative methods were employed and whether questionnaires, interviews or recordings were used to collect the raw data. This section may include the study’s methodological approach, the research design, justification of the methods used, a discussion of the reliability and validity of those methods, and a description of the data collection and analysis procedures.

5. The Results (10%)

The fifth section (which is sometimes combined with the sixth section) of a dissertation is usually focussed on the results . The primary aim of this chapter is to present the results of the study’s primary research in a clear manner that demonstrates how these results address the dissertation’s research questions. Generally, in the results section the writer will present the relevant findings of the study, explain the implications of those findings, present evidence to support those findings, refer back to the methodology and introductory background information, and perhaps also refer forwards to the discussion of results .

6. The Discussion of Results (15%)

While the results section deals with the raw data, the discussion of results is where these findings are contextualised and their significance explained. As well as reminding the reader of the research aims and how the study’s results work to explore these aims, the writer should additionally present a discussion of how these findings have contributed to the dissertation’s hypotheses and therefore to the overall literature. Some time may also be spent interpreting the study’s findings, comparing them to other research, and evaluating their contribution to the literature.

7. The Conclusion (15%)

The final section of a dissertation is called the conclusion , the purpose of which is to remind the reader of the study’s aims, the key methodology, and the findings of the investigation. The writer may also wish to evaluate the significance of the research, commenting on how this research further develops the theory as well as highlighting any limitations that may have become apparent during the investigation. Finally, how this research can be applied practically may also be outlined to the reader, and any research gaps generated by the study explained.

Additional Sections

While these seven sections constitute the bulk of the dissertation , don’t forget to also include a table of contents , a reference list and an  appendix   if necessary.

Now that we’ve discussed what a dissertation  is, when one might be used, and which sections such an extended essay usually contains, the final chapter on this subject is about choosing an effective dissertation topic. 

To reference this reader:

Academic Marker (2022) About Dissertations . Available at: https://academicmarker.com/essay-writing/dissertations/about-dissertations/ (Accessed: Date Month Year).

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Dissertation defense traditions: Keller group

What are your group’s dissertation defense traditions?

Keller group, sarah l. keller, duane and barbara laviolette endowed professor of chemistry:.

One year, on a lark, I made a cake that illustrated a graduate student’s research project and used it as a visual aid during my introduction of their dissertation defense. Somehow, the next couple of students’ projects also lent themselves to cakes. (Our lab’s main research focus is on lipid vesicles and cell membranes, which tend to be round. See the stylized montage of microscopy images, above right.) Pretty soon, grad students in my lab began saying, “We are all wondering what your upcoming thesis cake will be!” The pressure was on!

Summary of experiments at the Marine Biology Laboratory at Woods Hole in a project led by Chantelle Leveille ‘22 . The cake represents a yeast cell that is undergoing changes in temperature (top), is budding (middle), or has fluorescently labeled mitochondria (bottom). See C.L. Leveille et al., 2021, Proc. Natl. Acad. Sci. USA.

Zack Cohen ’23 : The cake is a close-up of a membrane made of fatty acids, which have one carbon chain each, so are represented as lollipops. See Z.R. Cohen et al., 2023, ACS Earth Space Chem.

Jonathan Litz ’15 : The cake captures the shape and color of a lipid vesicle ruptured on a solid, dark support (and imaged with a Texas red label). See J.P. Litz et al., 2016, Biophys. J.

Matt Blosser ’14 : The top image shows a control sample of a phase-separated membrane with a domain of the bright (“liquid-ordered”) phase surrounded by a dark (“liquid-disordered”) phase. The bottom image is a cut-away view of a test sample of a phase-separated membrane in which the membrane has been sheared to offset the domains. See M.C. Blosser et al., 2015, Biophys. J.

Glennis Rayermann ’18 : The cake looks like a phase-separated membrane of a yeast vacuole in which contrast is provided by a membrane protein fusion (Vph1-GFP) that emits green light. See S.P. Rayermann et al., 2017, Biophys. J.

Heidi Weakly ’24 : Some proteins (represented by puffed rice cereal) bind to one domain of a phase-separated lipid bilayer (the cookie vs. the surrounding brownie) via molecular tethers (the frosting). See H.M.J. Weakly et al., 2024, Biophys. J.

Caitlin Cornell ’20 : This big round cake has high contrast only at the perimeter because it represents a lipid vesicle imaged by cryo-electron tomography. The technique requires that big vesicles be broken up into smaller (cupcake-sized) vesicles. See C.E. Cornell et al., 2020, Proc. Natl. Acad. Sci. USA.

See also  Dissertation defense traditions: Vaughan, Cossairt, and Khalil groups

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Thesis: The Impacts of Simplifying Science and How to Achieve Understanding

Editor's note:

Logan Hunt defended her Barrett Honors College thesis entitled, "The Impacts of Simplifying Science and How to Achieve Understanding" in Spring 2023 in front of committee members Jane Maienschein and Risa Schnebly.  https://keep.lib.asu.edu/items/183942

Simplifying science means more than just making science understandable for people of lower chronological age, it also encompasses making science more accessible to people with a lower educational age. Through their “Embryo Tales,” Ask a Biologist discusses topics such as fetal alcohol syndrome, ectopic pregnancies, polio, etc. and the science behind them in an easy-to-understand manner. The Ask a Biologist materials are directed at a younger audience in terms of educational age compared to most textbooks and other sources, which allows them to communicate information to people who otherwise may not comprehend the science at hand. As Ask a Biologist states, their main goal is to “increase communication between scientists and the public” (Ask a biologist). They increase the cognition of the public by using a readability level checker to keep each sentence easy to understand, implementing well thought-out analogies throughout the article, incorporating helpful pictures, and including an engaging, related story at the beginning of each article. This thesis explains studies both for and agains those techniques aiming to make science-related topics more understandable. The thesis encompasses some of my own Embryo Tales with an analysis of them, highlights my role in shaping Embryo Tales into what they are today, and also details how I will apply what I learned to my career as a future physician.

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• Dissertation

How to Write a Dissertation or Thesis Proposal

Published on September 21, 2022 by Tegan George . Revised on July 18, 2023.

When starting your thesis or dissertation process, one of the first requirements is a research proposal or a prospectus. It describes what or who you want to examine, delving into why, when, where, and how you will do so, stemming from your research question and a relevant topic .

The proposal or prospectus stage is crucial for the development of your research. It helps you choose a type of research to pursue, as well as whether to pursue qualitative or quantitative methods and what your research design will look like.

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What should your proposal contain, dissertation question examples, what should your proposal look like, dissertation prospectus examples, other interesting articles, frequently asked questions about proposals.

Prior to jumping into the research for your thesis or dissertation, you first need to develop your research proposal and have it approved by your supervisor. It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives .

Depending on your department’s requirements, there may be a defense component involved, where you present your research plan in prospectus format to your committee for their approval.

Your proposal should answer the following questions:

• Why is your research necessary?
• What is already known about your topic?
• Where and when will your research be conducted?
• Who should be studied?
• How can the research best be done?

Ultimately, your proposal should persuade your supervisor or committee that your proposed project is worth pursuing.

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Strong research kicks off with a solid research question , and dissertations are no exception to this.

Dissertation research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly
• What are the main factors enticing people under 30 in suburban areas to engage in the gig economy?
• Which techniques prove most effective for 1st-grade teachers at local elementary schools in engaging students with special needs?
• Which communication streams are the most effective for getting those aged 18-30 to the polls on Election Day?

An easy rule of thumb is that your proposal will usually resemble a (much) shorter version of your thesis or dissertation. While of course it won’t include the results section , discussion section , or conclusion , it serves as a “mini” version or roadmap for what you eventually seek to write.

Be sure to include:

• A succinct introduction to your topic and problem statement
• A brief literature review situating your topic within existing research
• A basic outline of the research methods you think will best answer your research question
• The perceived implications for future research
• A reference list in the citation style of your choice

The length of your proposal varies quite a bit depending on your discipline and type of work you’re conducting. While a thesis proposal is often only 3-7 pages long, a prospectus for your dissertation is usually much longer, with more detailed analysis. Dissertation proposals can be up to 25-30 pages in length.

Writing a proposal or prospectus can be a challenge, but we’ve compiled some examples for you to get your started.

• Example #1: “Geographic Representations of the Planet Mars, 1867-1907” by Maria Lane
• Example #2: “Individuals and the State in Late Bronze Age Greece: Messenian Perspectives on Mycenaean Society” by Dimitri Nakassis
• Example #3: “Manhood Up in the Air: A Study of Male Flight Attendants, Queerness, and Corporate Capitalism during the Cold War Era” by Phil Tiemeyer

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The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your sampling methods or criteria for selecting subjects
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

*The Caveat *

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.  

Overview: S tructuring a dissertation or thesis

• Acknowledgements page
• Abstract (or executive summary)
• Table of contents , list of figures and tables
• Chapter 1: Introduction
• Chapter 2: Literature review
• Chapter 3: Methodology
• Chapter 4: Results
• Chapter 5: Discussion
• Chapter 6: Conclusion
• Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

• The introduction chapter presents the core research question and aims .
• The literature review chapter assesses what the current research says about this question.
• The methodology, results and discussion chapters go about undertaking new research about this question.
• The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

• Succinct (not overly lengthy or verbose)
• Specific (not vague or ambiguous)
• Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

• The broader area of the research (i.e. the overarching topic)
• The specific focus of your research (i.e. your specific context)
• Indication of research design (e.g. quantitative , qualitative , or  mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

• Your dissertation supervisor or committee.
• Any professors, lecturers or academics that helped you understand the topic or methodologies.
• Any tutors, mentors or advisors.
• Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

• Your research questions and aims – what key question(s) did your research aim to answer?
• Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
• Your findings – following your own research, what did do you discover?
• Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

Table of contents

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

• What will you be investigating (in plain-language, big picture-level)?
• Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
• What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
• What is the scope of your study? In other words, what will and won’t you cover ?
• How will you approach your research? In other words, what methodology will you adopt?
• How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

• What does the literature currently say about the topic you’re investigating?
• Is the literature lacking or well established? Is it divided or in disagreement?
• How does your research fit into the bigger picture?
• How does your research contribute something original?
• How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

• Exactly HOW will you carry out your research (i.e. what is your intended research design)?
• Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings . In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

• Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the  Grad Coach Blog .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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