master thesis in information technology

Degree Requirements: 30 Credit Hours (Thesis)

Admission requirements, regular admission.

• Admissions to the MSIT program are competitive. Meeting the admission requirements does not guarantee admission to the program.
• Completed requirements for the Bachelor’s degree at a college or university accredited by the proper regional accrediting association.
• An undergraduate degree or the equivalent in Information Technology, Computer Science/Engineering, or Information Systems, or a closely related field of study.
• A 3.00 (4.0 scale) cumulative grade point average (GPA) or higher on courses in undergraduate work, or equivalent.
• International students must meet College of Graduate Studies English Proficiency requirements.
• two years of work experience in the IT field if the undergraduate degree is not in information technology, information systems, computer science/engineering or a closely related field; and
• a competitive score on the GRE or GMAT exam. The GRE or GMAT exam may be waived if the applicant has three or more years of work experience in IT or a closely related field.

Provisional

A student may be granted provisional admission based upon the recommendation of the Master of Science in Information Technology Graduate Program Coordinator or Department Chair.

Non-degree students are accepted on an individual basis as space is available.

Program of Study

1  (See footnote below)

Core Requirements Credit Hours: 12

• IT 7130 - IT Governance (3 Credit Hours)
• IT 7131 - Information Technology Research Methods (3 Credit Hours)
• IT 7134 - IT Project Management (3 Credit Hours)
• IT 7135 - Seminar in IT (3 Credit Hours)

Electives Courses Credit Hours: 12

• IT 5090G - Selected Topics in Information Technology (3 Credit Hours)
• IT 5135G - Data Analytics (3 Credit Hours)
• IT 5233G - Web and Mobile Security Fundamentals (3 Credit Hours)
• IT 5236G - Distributed and Mobile Systems (3 Credit Hours)
• IT 5433G - Information Storage and Management (3 Credit Hours)
• IT 5434G - Advanced Network Security (3 Credit Hours)
• IT 7090 - Selected Topics in Information Technology (1-3 Credit Hours)
• IT 7133 - Digital Security and Forensics Investigation (3 Credit Hours)
• IT 7176 - Data Visualization (3 Credit Hours)
• IT 7177 - Reliable IT System Design (3 Credit Hours)
• IT 7178 - System Security and Information Assurance Strategies (3 Credit Hours)
• IT 7179 - Web Graphics Design Studio (3 Credit Hours)
• IT 7790 - MSIT Internship (1-3 Credit Hours)
• IT 7895 - Special Problems in IT (1-3 Credit Hours)
• Or other elective courses approved by MSIT Program Coordinator

Thesis Credit Hours: 6

• IT 7999 - Thesis (1-6 Credit Hours)

Total Credit Hours: 30

1 A minimum of 50% of courses for the Master of Science in Information Technology degree must be taken at or above the 6000 level.

Each candidate for the Master of Science in Information Technology Thesis Option degree must complete a thesis on a subject approved by the graduate thesis committee. The major professor supervises the research, directs the writing of the thesis, and approves the thesis in its final form. Prior to the final approval, the thesis is read by the thesis committee. One member, termed the second reader, has responsibility for an intensive and rigorous criticism of the thesis and a third member of the thesis committee has the responsibility of an “editorial reader.” Both second and third readers must report all comments to the major professor. The thesis must be defended in an oral examination before the graduate committee prior to final approval and sign-off. The style and format for the completed thesis shall follow that prescribed by the Program Director for the Master of Science in Information Technology degree. Procedural steps in the preparation of the thesis are as follows:

• The prospectus for the thesis shall be submitted to the major professor and thesis committee for approval.
• The student must prepare the thesis for electronic submission following the latest version of the Electronic Thesis and Dissertation (ETD): Student Guide to Preparation and Processing manual.
• The thesis must be electronically submitted to the ETD site for format check by the final thesis submission deadline as stated in the University Calendar.
• The final corrected thesis must be electronically submitted to the ETD site by the ETD format check submission deadline as stated in the University Calendar. The final document must be electronically approved by the Thesis Committee.

Accelerated Bachelors to Masters (ABM)

Degree requirements: 30 credit hours.

In accordance with SACSCOC requirements, 120 unique credit hours are required in a Bachelors degree program, and at least 30 unique credit hours are required for a Masters degree program. The MSIT -ABM program combines 124 hours from the BSIT program and 30 hours from the MSIT program , exceeding the required 150 unique hours between undergraduate and graduate degree programs by 4 hours. The Jack N. Averitt College of Graduate Studies Handbook for Program Directors and Graduate Advisors permits a maximum of 9 shared credit hours between the undergraduate and graduate degree programs. Therefore, BSIT -ABM students may share a maximum of 4 credit hours of graduate level courses (5000G) in satisfying the requirements of both degree programs.

For regular admission to the Accelerated Bachelor’s to Master’s of Science in Information Technology (ABM-MSIT) degree program, the applicant must have:

• Enrollment as a current Georgia Southern undergraduate student majoring in Information Technology.
• Completed at least 45 credit hours completed in the undergraduate program; including the courses MATH 1111   , COMM 1110   , STAT 1401   , IT 1130   , and IT 2333   , each with a grade of C or better.
• A 3.0 (4.0 scale) cumulative GPA or higher in undergraduate coursework.

ABM programs do not allow provisional admission. ABM programs are designed for students who have demonstrated a high level of undergraduate academic performance that validates their ability to be successful graduate students. Students who do not meet the minimum requirements for regular admission may be granted admission to the program upon approval of an admissions committee consisting of at least the Department Chair and the Graduate Program director.

ABM Degree Requirements: 30 Credit Hours (Thesis & Non-Thesis)

• A student in the ABM program will be allowed to use up to 4 credits of upper division IT courses offered within the Information Technology program in meeting the requirements of both a bachelor’s degree and a master’s degree.
• Maintain a cumulative graduate GPA of 3.0 (grade of “B” or better) in their graduate degree course work (including the 4 credits of graduate course work shared with the undergraduate degree).
• Meet all requirements for both the BSIT and MSIT degrees.
• An undergraduate student enrolled in graduate classes is limited to 6 credit hours of graduate coursework per semester.
• A minimum of 50% of courses for the Master of Science in Information Technology degree must be taken at or above the 6000 level.

General Requirements

Graduate students are advised by their program. Graduate students should reach out to their graduate program director for information regarding the structures in place to facilitate advisement. For more information visit  Graduate Academic Advisement   .

Graduate students can also contact the Jack N. Averitt College of Graduate Studies for more information about their program director. Phone: 912-478-COGS (2647) Email: [email protected]

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Master's Theses - Information Technology

Theses/dissertations from 2024 2024.

Towards a Blockchain-Based Data Trading Protocol , Manish Adhikari

Factorization in Cybersecurity: a Dual Role of Defense and Vulnerability in the Age of Quantum Computing , Himateja Arukala

Road Maintenance through Machine Learning , yashwanth sai Rachala

Theses/Dissertations from 2023 2023

A Deep Learning Approach to Extractive Text Summarization Using Knowledge Graph and Language Model , Yichen Gao

Theses/Dissertations from 2021 2021

Identifying Mislabeling in Machine Learning Based Intrusion Detection System , Bofan Li

Automatic Short Answer Grading Using Deep Learning , Jinzhu Luo

Auto-Detection of Programming Code Vulnerabilities with Natural Language Processing , Yubai Zhang

Theses/Dissertations from 2017 2017

Learning Material Classification , Farzan Soufizadeh Balaneji

Theses/Dissertations from 2016 2016

Women on the Board of Directors and Their Impact on the Financial Performance of a Firm: an Empirical Investigation of Female Directors in the United States Technology Sector , Obinna Mogbogu

Theses/Dissertations from 2015 2015

Sensitivity Analysis for the Winning Algorithm in Knowledge Discovery and Data Mining ( Kdd ) Cup Competition 2014 , Fakhri Ghassan Abbas

Unknown Threat Detection with Honeypot Ensemble Analsyis Using Big Datasecurity Architecture , Michael Eugene Sanders

Using Software Defined Networking To Solve Missed Firewall Architecture in Legacy Networks , Jared Dean Vogel

Theses/Dissertations from 2014 2014

Cyber Security on the Farm: an Assessment of Cyber Security Practices in the Agriculture Industry , Andrew Phillip Geil

Examination of an Integrated Protection Motivation Model in the United States Army , Garrett Slack

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Instructional Technology Theses and Dissertations

Theses/dissertations from 2010 2010.

Evaluation of the Flicker Effect as a Generative Strategy in Enhancing ComputerBased Instruction (CBI) of Visual Recognition and Classification , Ping Luo

Theses/Dissertations from 2007 2007

The Effects of Goal Message and Goal Orientation on Learning in a Web-Based Tutorial , John M. Bunch

The Model-Based Systematic Development of LOGIS Online Graphing Instructional Simulator , Darrel R. Davis

The effectiveness and user perception of 3-dimensional digital human anatomy in an online undergraduate anatomy laboratory , Amy JoAnne Hilbelink

The relationship between technology integration and achievement using multi-level modeling , Tina N. Hohlfeld

Technology in low socio-economic K-12 schools: Examining student access and implementation , Katherine J. Kemker

Perceptions of Florida school library media specialists relative to the saliency of collaboration, leadership, and technology tasks outlined in Information Power: Changes since 1996 , Terrell M. Pace

Online delivery of career choice interventions: Preferences of first-year students in higher education , Melissa Venable

Theses/Dissertations from 2005 2005

A Comparison of Traditional Physical Laboratory and Computer Simulated Laboratory Experiences in Relation to Engineering Undergraduate Students’ Conceptual Understandings of a Communication Systems Topic , Giti Javidi

Theses/Dissertations from 2004 2004

Improving the Environment in Distance Learning Courses Through the Application of Aesthetic Principles , Darryl J. Hancock

Feedback In Distance Learning: Do Student Perceptions Of Corrective Feedback Affect Retention In Distance Learning? , Lori S. Kielty

Are Preservice Instructional Designers Adequately Prepared For Tomorrow’s Diverse Learning Audiences?—A Cultural Content Analysis Of Textbooks (1993-2003) Used For Instructional Design , Sujie Man

Theses/Dissertations from 2002 2002

The Effects Of Animated Textual Instruction On Learners' Written Production Of German Modal Verb Sentences , Elizabeth A. Caplan

Theses/Dissertations from 2001 2001

Effects of Deadline Contingencies in a Web-Based Course on HTML , Tina L. Majchrzak

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221 Interesting Thesis Topics for IT Students

Did you know that one of the most important parts of writing your dissertation is finding the best topic possible? You are probably having serious problems finding a topic for your thesis. After all, the thesis topics IT students are looking for are pretty rare. The reality is that in the IT field, most topics have already been written about. There are few things left to write it seems. Well, things are a bit different. We are here to assure you that you can find thesis topics for IT students. Also, we want to assure you that it is not at all difficult to find an interesting topic that you can write an engaging paper about. We will provide you with 21 such topics shortly. College students can use our topics for free; we are very happy to help!

Writing Your Thesis and Looking for Dissertation Topics?

• Why Thesis Topics for IT Students Are Important?
• Fresh Dissertation Topics for You

Best IT Thesis Topics in Artificial intelligence

Exceptional it thesis topics in computer science and engineering, refreshing it thesis topics in communication and media, top it thesis topics on food technology, thoughtful it thesis topics on technology and human identity, top it thesis topics on pharmaceutical technologies, it thesis topic ideas on energy power technologies, it thesis topics on medical devices and diagnostics, it thesis topics on biotechnology, more interesting it thesis topics for you, need more it dissertation topics.

As you are probably already aware, the IT field is advancing rapidly. Advancements are made almost daily in technology, including information technology. This is why so many students are looking for fresh 2022 dissertation topics. They want to write about the latest technologies and the latest gadgets. Of course, one can go online and find various 2022 thesis topics IT students would find impressive. You will probably find some that are relatively decent. But be aware that the evaluation committee will most certainly not be impressed by decent topics. They want something new. They want something that can pique their interest. They want to LEARN something from you. And they want to award you with some bonus points. Why not take them?

Why Thesis Topics for IT Students Are Important

Did you ever wonder why so many people dedicate so much time to finding a great topic? Probably not. Let’s shed some light on this. College students are looking for IT dissertation topics because they want bonus points. The topic is the first thing the evaluation committee sees. It is the most important part of your paper. As such, it must be interesting, engaging, and also helpful. It must show that you have put in the effort to write the dissertation. Awe the admission committee and you will surely get bonus points. Even if your dissertation is not the best, you will still get a good score if the topic you choose is exceptional. But engaging IT dissertation topics are difficult to come by. Most of your classmates have already picked the simple ones. But you are not like the rest of your class, are you? You want to be original and you want to make a lasting impression on the professors. This is why you need to take a look at our fresh dissertation topics.

21 Fresh Dissertation Topics for You (Absolutely Free)

Without further ado, here are the 21 thesis topics for IT students that we think are the most interesting and engaging:

• Conducting virtual business in the era of 3D Internet – the business of the future
• Analyzing e-tourism services in the UK: Factors that Influence Customer Satisfaction
• Mobile government applications and their benefits
• Producing believable emotions using AI systems for e-commerce
• The future of YouTube and multimedia distribution platforms
• Analyzing the impact of media technology on child development throughout the school
• Integrating an ERP system with a cloud service
• Developing a tool to analyze keystrokes and use the data for password security
• Analyzing critical vulnerabilities of the Android mobile operating system
• Analyzing the impact of e-publishing on libraries (one of the best thesis topics for IT students)
• In-depth analysis of the fault-recovery and redundancy in modern 4G mobile networks
• The impact of full-text databases on Google as a search engine
• Creating software capable of reading human emotions using a webcam
• How effective is face recognition as a security measure?
• Analyzing critical security vulnerabilities in IT systems used at the government level
• Does curbing software piracy in developing countries have any negative results?
• Using BitTorrent systems for faster multimedia delivery and playback
• How safe are whistleblowers operating on the Dark Web? (one of the thesis topics IT students are usually reluctant to write about)
• Building a Dark Web crawler that indexes onion sites based on specific criteria
• Creating a modern Tetris game in C# using OpenGL
• The advantages brought by mobile working to IBM and its employees

If you want to write a relevant research topic, consider writing about Artificial intelligence topics (AI). AI is a relevant phenomenon, and here is a look at some ideas of artificial intelligence that you should look into.

• Is deep learning an effective way of dealing with deep learning?
• How do artificial neural networks affect deep learning?
• Discuss the areas of life machine learning that are most influential.
• Ways to select the best algorithm for machine learning.
• How does NASA use robotics?
• Discuss the process of using natural languages to create a unique language.
• How does artificial intelligence affect computer vision?
• Compare and contrast the effects of supervised vs. unsupervised machine learning.
• The effects of reinforcement machine learning algorithms.
• Model-based vs. Model-free reinforcement learning algorithms.
• Deep learning as a subject of machine learning.
• Comparison between single vs. Multi-agent reinforcement learning.
• Ways that the social robots interact with the humans
• How do chatbots aid in the natural language processing system?
• Five ways of computer vision application.
• What is the recommended systems approach?
• What is the interconnection of the Internet of things and artificial intelligence?
• What amount of data is generated by the Internet of things devices?
• Compare and contrast content-based recommendation vs. collaborative filtering.
• What makes the collaborative filtering system stand out?

Computer science and engineering combine two different yet interconnected worlds of machines. The use of computer science uses the computer’s brain. It is, in most cases, used to include areas of studies like programming language and algorithms. Here is a list of research topics in computer science and engineering that you can use.

• In what ways is the virtual and human perception connected?
• What is the future of computer science-assisted education?
• What are computer science and high-dimensional data modeling?
• The imperative vs. declarative languages.
• Explain the use of blockchain and AI algorithmic regulations.
• How has blockchain technology impacted the banking industry?
• In what way does machine architecture use to affect the efficiency of code?
• What are the languages of parallel computing?
• Explain the way that mesh generation is used for computational domains.
• The cyber-physical optimization vs. the sensor networks.
• Explain the development of computer graphics in a photorealistic rendering case.
• What are game theory and network economics?
• What are the most effective cryptographic protocols?
• An overview of the software security types.
• It is possible to eliminate phishing.
• Floating point and programming language
• In what ways is the mesh generation used for computational domains?
• How to get the persistent data structure optimization
• In what ways does computer thinking affect science?

One of the first areas that technology affected was communication. With technology, media is used for social interactions, business development, and educational purposes. Here are exciting ideas to use when researching your IT thesis paper.

• What is the impact of ethics on communication?
• How the development of communication through the computer has evolved in the past decade.
• In what ways has social media impacted communication?
• What role do media play during a disaster? Does it increase panic or help in reducing it?
• Compare and construct the authority’s media presence in different countries.
• Will people start preferring newspapers to new media again?
• In what ways has the Internet changed media?
• Discuss communication networks.
• What impact do social media have on super bowl ads?
• What are the new content marketing ideas?
• What is the impact of media exposure on adolescents?
• In what ways do people use hype in the media?
• Discuss the media and freedom of speech.
• Is it possible for people to build trustful relationships in virtual communication?
• What measures can you put to maintain privacy on social media?
• In what ways have computers changed interpersonal communications?
• What is yellow journalism in new media?
• In what ways do enterprises use ICT to get a competitive advantage?
• Is it possible to live without mass media?
• What are the impacts of mass media and morality in the 21st century?

If you are searching for a qualitative research topic about technology in the food industry, here is a list of ideas you can use.

• What are the machines used in the food industry?
• In what ways do robots improve safety in butcheries?
• 3D printing and the food industry.
• Is 3D printing the best solution to offer people with swallowing disorders?
• About drones and precision agriculture.
• In what ways does robotics help in creating eco-friendly food packages?
• Is micro packaging the future?
• Research on the development of edible cling film.
• The solution that technology has to food waste.
• How do preservatives and additives impact the human gut microbiome?
• Physicochemical levels the effect of citric acid on orange juice.
• Compare and contrast vegetable oil in mass production.
• Time-temperature indicators and food industry.
• Farming: hydroponic vs. conventional farming.
• How is food safety a policy issue in agriculture today?
• Ways you can use to limit the detection of parasites in food.
• How is the baking industry evolving?
• How technology is used to eliminate byproducts in edible oils production
• About cold plasma and biofilm.
• Ways to extract good antioxidant peptides are extracted from plants.

The ethical issues surrounding the enhancement technology are intertwined with the questions of human identity and the proper trajectory of human life. Here is a list of thesis ideas you can use in your research.

• Does technology make human life worth living than animal life?
• The dignity of human life concerning technology explained?
• In what ways should humans be observed in informational technology?
• Should tech and scientific investigations on humans have a limit?
• What is the importance of DNA information in forming our identity?
• Is Ancestry DNA testing important?
• Explain multi-racial identification.
• Can scientific investigations tell us what self-care is?
• In what ways will virtual reality technology change us?
• Should there be a limit on the research in virtual reality? The possibility of virtual reality being the future.
• What are the benefits of using virtual reality technologies?
• What is the importance of finding alternative treatments for mental illness other than drugs?
• Has the increase in technology affected the rise of mental illness?
• Ways technology can be used to control addiction.
• Pros and cons of using technology to control brains.
• 7 social dangers of the brain controlling technology.
• Does science dictate who we are?
• What has led to the increase in mental illness among tech enthusiasts?
• Can tech-related mental illness be cured?
• What is the relationship between technology and drug addiction?

Companies are using technology to search for ways they can use it to reduce costs and boost effectiveness by doing pharmaceutical technology research. Impress your lecturer by choosing one of the research topics discussed below

• What is the effectiveness of medical therapy management?
• Explain how prior electronic authorization is a pharmacy technology trend.
• Explain the medical therapy management and the health information exchanges.
• How can electronic prescribing reduce the possibility of drug abuse issues?
• Ways that pharmacists help with meaningful tech use.
• Discuss various pharmaceutical technologies.
• Pharmaceutical technology research.
• What are specialty medications?
• Vaccines for AIDS: can it be developed?
• Ways that the prescription drug monitoring program works.
• How do specialty pharmacies use NCPDP?
• Why are patients interested in real-time pharmacy?
• Phenotypic screening research.
• Impact of ERP with pharmaceutical company’s analytics.
• Pharmaceutical technologies: data security.
• About DNA-encoded library technology.
• Pro and cons antibiotics vs. superbugs.
• How does the body-on-a-chip approach be used for personalized medicines?
• Modern cannabidiol medicine and pain management.
• What is the future of cannabidiol medicine?

It is not possible to have a technology process without energy. That is the reason that scientists are always looking for ways they can improve energy power technologies. So, if you are looking for thesis topics you can use to impress your lecturer, here is a list of power technology research you can use.

• Ways that fuel cells can be used for the generation of stationary power.
• Compare the energy density of lithium-ions and lithium-air batteries.
• Gasoline vs. Lithium-air batteries.
• The pros and cons of renewable energy use.
• How does the UAE use nuclear power?
• Research on India power installation.
• Increase in gas prices and alternative energy sources.
• How can hydrogen energy be used to transform the methods or energy?
• Is hydrogen energy the future?
• About the thermal storage and AC systems.
• In what ways can you use load balance using a smart grid?
• How can distributed energy generation optimize power waster?
• Is the smart energy network a solution to climate change?
• What is the future of tidal power?
• What is the possibility of 3D printing micro stirring engines?
• In what ways can robots be used to adjust the solar panel weather?
• Explain advanced biofuel and algae.
• In what ways can photovoltaic glass be fully transparent?
• Compare the different third-generation biofuels.
• Is space-based solar power a myth or the reality of the future?

The innovation of medicine and technology helps to improve life expectancy. If you feel that saving lives is your purpose, here are some thesis topics you can use in your research paper.

• The effects of robotic surgeries.
• Explain defibrillator & cardiac resynchronization therapy.
• How smart can inhalers be used as a new solution to asthma treatment?
• Genetic counseling: ways of preventing diseases.
• What are the benefits of electronic medical records?
• How is Erythrocytapheresis used to treat sickle cell disease?
• The reason that drug-eluting stents fail.
• An overview of the dissolved brain sensors.
• What are the benefits of 3D printing for medical purposes?
• How soon will it be possible to create an artificial organ?
• Research on wearable technologies in health care.
• Precision medication based on genetics.
• The importance of using virtual medicine devices for educational purposes.
• Research on the development of telemedicine.
• How is technology impacting cancer treatment?
• Is genome editing safe?
• How is the electronic diagnosis tool evolving?
• Brain-machine interface, the future.
• How does the use of wireless communication help medical professionals in hospitals?
• Ten ways wearable technology impacts the medical industry.

The development of biotechnology allows people to cure diseases and help with new machines. Here are some ideas of interesting topics you can use for your biotechnology thesis research.

• Ten impacts of biotechnology in farming.
• How does biotechnology lead to a self-sufficient protein supply?
• Evapotranspiration vs. Evaporation.
• DNA cloning and a Southern blot.
• How are personalized drugs made?
• What is pharmacogenetics?
• Is cloning playing God?
• How is pharmacogenetics used to get cancer medicines?
• Is it possible to control our genetics?
• How much genetic control do humans have?
• Based on genetics, at what point do we cease to be human?
• Research on bioethics and stem cells.
• Definition of genetic engineering.
• Gene therapy and genetic engineering.
• Ten benefits and risks of genetic engineering.
• How does plant genetic enhancement help preserve scarce plants?
• South Africa Y-chromosome genotyping.
• Ways technology is used in the creation of new vaccines.
• How does Nanotechnology help in treating HIV?
• An overview of Genes in heavy metal tolerance.

Your IT thesis does not have to be boring. Here is a list of interesting thesis topics that will impress your lecturer.

• Ways that you can eliminate heat-resistant microorganisms with ultraviolet light.
• In what ways can pesticides be used to diagnose cancer?
• How can the smeller nuclear reactors be more efficient?
• An overview of renewable energy technologies.
• Explain electronic use in the food industry and agriculture.
• The harm of polyphenols in food.
• Hope for anticancer nanomedicine.
• Does increasing military technology make use safe?
• What is the importance of military research?
• In what ways can technology be used to gauge intelligence?
• In what ways is Google search changing us?
• Blogs vs. books.
• How is teaching IT research skills important today?
• Should parents and schools encourage or discourage social media?
• Does Google affect the attention span of young people? What is the borderline in hardware and software cloud computing?
• What will be the impact when everything moves to the cloud?
• How will virtual reality change education?
• If the computer takes over most of our tasks, what will humans do?
• What will computer language be important in the future?
• What are the benefits of robots in health care?

Of course, there are dozens of other thesis topics on which students could write a paper. Some companies specialize in providing college students with entire lists of topics on a specific subject. You just need to contact an online academic writing company and tell its writers what you need. These people have extensive experience in the IT industry and have probably written dozens of dissertations. They can help you with more dissertation topics. And the best part is that some of these online services are quite affordable. An exceptional topic is worth the money – guaranteed!

Are you stuck with writing your thesis? Just enter promo “ mythesis ” – that’s all you need to get a 20% discount for any IT writing assignment you might have!

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Master theses from the Master of science programme in information technology engineering

Here you find lists of master theses written at the department for IT, by students from the Computer and Information Engineering programme (civing IT). Other programs: Master in computer science, older program , Bach. in computer science , Systems in technology and society programme , Master in computer science , Master in HCI , Master in computational science , Master in Embedded Systems and the complete list .

Advanced level

Bachelor level.

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Dept. of Information Technology and Electrical Engineering

Projects and master's thesis.

Master's students are required to complete one (2018 regulations) or two (2008 regulations) semester projects and one Master's thesis. The projects and the thesis are supervised by a professor of the Department (including adjunct professors ) or by a Download professor associated (PDF, 97 KB) vertical_align_bottom with the Department. Most projects are carried out under the guidance of, and in close contact with, a PhD student of the supervising professor. If two semester projects are carried out, to broaden your horizon, they should be carried out with two different professors.

Semester projects

A semester project should take about half of a student‘s time during one semester, i.e., about 300 to 400 hours has a duration of 14 weeks. It is possible to do a semester project in 7 weeks full-time outside a semester, but it is not recommended. The project includes an oral presentation and a written report, and it is graded. Before starting, the project must be registered in mystudies ("Projects/papers/theses").

Master's thesis

The Master's degree programme concludes with a Master's thesis that lasts six months. The project includes an oral presentation and a written report (the Master's thesis), and it is graded. Before starting the project, the Master's thesis must be registered in mystudies ("Projects/papers/theses"). You will be admitted to the Master's thesis only if both semester projects (2008 regulations) are or one semester project (2018 regulations) is successfully completed.

Once the Master's thesis is successfully finished and all credits are obtained, students may request their diploma .

Information: Publication of Master Thesis in the Research Collection

Students have the possibility of publishing their master theses in the Research Collection . To publish master theses in the Research Collection, a letter of recommendation from the respective supervisor is needed. You can find further information on the webpage .

Semester project, Bachelor's and Master's theses offers at D-ITET:

If projects are taken, sometimes related projects may be available. Often, labs are willing to customize a project to match the students' interests. Many labs welcome students' own ideas for projects.

Below an overview of labs offering semester project and Master's thesis by specialisation:

• chevron_right Communication Technology Laboratory
• chevron_right Signal and Information Processing Laboratory
• chevron_right Chair for Mathematical Information Science
• chevron_right Computer Engineering and Networks Laboratory
• chevron_right Computer Vision Laboratory
• chevron_right Chair for Computer Science
• chevron_right Computer Security Group
• chevron_right Computer Architecture (SAFARI Research Group)
• chevron_right Institute for Electronics
• chevron_right Institute of Electromagnetic Fields
• chevron_right Integrated Systems Laboratory
• chevron_right Millimetre-wave Electronics Laboratory
• external page call_made Laboratory for Thin Films and Photovoltaics at EMPA
• chevron_right Photonics Laboratory

Booklet Download Semester/Master's theses "Energy and Power Electronics" (PDF, 78.2 MB) vertical_align_bottom

• chevron_right Advanced Power Semiconductor Laboratory
• chevron_right Laboratory for High-power Electronics Systems
• chevron_right Power Electronic Systems Laboratory
• chevron_right High Voltage Laboratory
• chevron_right Power Systems Laboratory
• external page call_made Institute of Neuroinformatics
• chevron_right Institute for Biomedical Engineering

For further ITET projects see external page SiROP website call_made .

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Master Thesis Information Technology and Management -Cloud Computing Evaluation - How it Differs to Traditional IT Outsourcing

Related Papers

International Journal of Computers Communications & Control

Raluca Brandabur

The purpose of this paper is to provide an evolutionary perspective of cloud computing (CC) by integrating two previously disparate literatures: CC and information technology outsourcing (ITO). We review the literature and develop a framework that highlights the demand for the CC service, benefits, risks, as well as risk mitigation strategies that are likely to influence the success of the service. CC success in organisations and as a technology overall is a function of (i) the outsourcing decision and supplier selection, (ii) contractual and relational governance, and (iii) industry standards and legal framework. Whereas CC clients have little control over standards and/or the legal framework, they are able to influence other factors to maximize the benefits while limiting the risks. This paper provides guidelines for (potential) cloud computing users with respect to the outsourcing decision, vendor selection, service-level-agreements, and other issues that need to be addressed when opting for CC services. We contribute to the literature by providing an evolutionary and holistic view of CC that draws on the extensive literature and theory of ITO. We conclude the paper with a number of research paths that future researchers can follow to advance the knowledge in this field.

Deekshant Jeerakun

Build to Order: The Road to the

Jens K Roehrich

With the continuing increase of competitive pressures in the automobile industry, the acceleration of cost and price pressures and the omnipresent need for im-provement of engineering productivity managers have to constantly ensure the company’s survival in the market. This perspective emphasises the need for man-agers to consider outsourcing in order to sustain a company’s competitive ad-vantage. The use of external assembly service providers in the automotive industry is widespread and is embraced in the build to order concept. Outsourcing capacity brings with it the risk of outsourcing competency. Managers in the customer-conscious automotive market have to thoroughly understand the concept and the associated risks in order to benefit from the outsourcing practice. Therefore, this chapter critically evaluates the benefits and risks associated with outsourcing core and supporting activities in the automotive industry. Moreover, the study draws on different theoretical positions delivering a rigorous description and comparison of the theoretical outsourcing standpoints. The research study is underpinned by empirical evidence from the automotive industry and concludes with a set of managerial implications to facilitate well-grounded outsourcing decisions within the automotive industry.

Noel Carroll

Ashik Subedi

john egbuch

Cloud computing source: en.wikipedia.org/ wiki/Cloud_computing Cloud computing metaphor: For a user, the network elements representing the provider-rendered services are invisible, as if obscured by a cloud. Cloud computing is a kind of Internet-based computing that provides shared processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services), [1][2] which can be rapidly provisioned and released with minimal management effort. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers. [3] It relies on sharing of resources to achieve coherence and economy of scale, similar to a utility (like the electricity grid) over a network. Advocates claim that cloud computing allows companies to avoid upfront infrastructure costs, and focus on projects that differentiate their businesses instead of on infrastructure. [4] Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables IT to more rapidly adjust resources to meet fluctuating and unpredictable business demand. [4][5][6] Cloud providers typically use a "pay as you go" model. This will lead to unexpectedly high charges if administrators do not adapt to the cloud pricing model. [7] The present availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture, and autonomic and utility computing have led to a growth in cloud computing. [8][9][10] Companies can scale up as computing needs increase and then scale down again as demands decrease. Cloud computing has become a highly demanded service or utility due to the advantages of high computing power, cheap cost of services, high performance, scalability, accessibility as well as availability. Some cloud vendors are experiencing growth rates of 50% per year, [11] but being still in a stage of infancy, it has pitfalls that need to be addressed to make cloud computing services more reliable and user friendly. [12][13]

Journal of Business Diversity

Himanshu Shee

This study aims to investigate the outsourcing relationships between firms in Australia and China by using a problem-solution approach, and find out practical solutions. Empirical data from Australian firms were collected by a questionnaire survey and interviews. The survey data were analysed by descriptive statistics and correlation to find the most common problems and related solutions, and then eight case studies were compiled. The results agree that outsourcing can achieve many significant benefits, though it presents a variety of new risks. Solutions found include increasing communication levels, trust and management control.

American Journal of Computer Science and Information Technology (AJCSIT)

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Thesis Topics for Master's and PhD in Information & Communication Technologies (ICT)

I have collected a list of relevant Thesis (and possibly Doctoral dissertation)  topics and titles for Master’s Students in ICT field of study. These Thesis topics come from varieties of sources including my own experience during preparation of Thesis and Special Study. Feel free to add or comment your thesis or dissertation topics in ICT (Information and Communication Technologies) Field of Study. This article shall be updated with newer list of thesis topics for Master’s and Doctoral degrees in ICT as soon as I come across your suggestions and new happenings in the field.

• Cognitive Radios & Cooperative Relay Networks – performance evaluation
• Disaster Warning & Post-disaster Communications (this is really a vast topic)
• Applications of ICT in Sustainable Development (find any specific topic to work on)
• Ad-hoc network based Social Network and iMANET
• P2P Systems & Social Networks, Internet of Things ( Social Networks on contribution after  thesis)
• Wireless Mesh/Sensor Network – energy harvesting, security, mobility, self-configuration (be precise on ay specific topic under WSN)
• 3D Internet and VirtualWorlds (Green ITS) – OpenEnergySim: an open source platform for exploring“Green ITS” (Intelligent Transport System) and eco-driving in the Unity3D virtual world (immersive drivingwith game wheel, traffic simulation, CO2 emission simulation, collaborative evaluation framework of ITS measures, modeling driver behavior, etc) http://www.prendingerlab.net/globallab
• Protocol design in Resource management and QoS control in wireless networks
• Networks of the Future and Cloud. Advisor prof. Djamal Zeghlache .
• Web 2.0 as leverage force to automate enterprise tacit interactions. Advisor prof. Walid Gaaloul/Bruno Defude .

SOA and Web 2.0 have coexisted as integration paradigms on the Web for some years now. SOA is typically applied in business contexts, while Web 2.0 is an informal approach for ad hoc integration. The two approaches reflect the IT/people duality: while people require well presented knowledge and implicitly coordinate their cooperation through data/knowledge communication, machines deal rather with structured data and explicitly coordinate their interactions.

This PhD proposal tries to reconcile these conflicting requirements by combining the complementary strengths of SOA (processing automation) and Web 2.0 (user centric practicality) in order to enable end users to cooperate and manage domain specific processes on the Web. Having a process driven approach and an enterprise centric context, we aim to deal with methods and tools for supporting organization tasks achievement.

• Semantic Workflow Mining. Advisor prof. Walid Gaaloul/Bruno Defude .

The term mining means different things to different people. In the IT field, database was among the first discipline to embrace this term through data mining. After a while, businesses felt that mining data is not enough for discovering the good and bad practices in how they do things in terms of executed processes, arisen exceptions, and deployed solutions. As a result, process-mining discipline came into play with new hopes for businesses. Nowadays different approaches and techniques promote the use of process mining so that decision makers are in a better position to know who did what, when was it done, how did it end-up, and where did it happen. Logs that keep track of all executed activities are the primary source of process mining. These activities are usually part of workflows upon which different applications like Customer Relationship Management~(CRM) and Enterprise Resource Planning~(ERP) are being built.

A workflow can be abstracted through three complementary and interacting models: organizational, informational, and process. The first model identifies the actors of a workflow and the activities these actors can carry out. The second model structures the documents and data that a workflow’s processes manage. Finally the process model defines and coordinates the activities that form processes. Despite the value-add of logs to workflow mining with focus on process discovery, several studies have proven the limitations of these logs when time comes to identify a workflow’s informational and organizational models. Both models are critical as they permit to detect what is going on in a business in terms of organizational structure and information flow.

To address logs’ limitations, one step consists of enriching logs with semantical details that will be drawn from the interactions that take place during workflow performance. The semantic enrichment of logs should help identify the organizational and informational models of a workflow. On the one hand, the organizational model would show the types of relationships (e.g. delegation, cooperation, conflict) that govern the interactions between actors in an organization or between actors from different organizations (such as hierarchy, coalition, market, sub-contracting, etc.). These relations could be static, dynamic, temporary, spontaneous, etc. On the other hand, the informational model would show the different data flows that interactions carry whether these flows were official or unofficial. Using of agent technology we aim at providing a new view on workflow mining. This technology handles and provides representation for organizational concepts, such as groups, roles, commitments, an also organizational structures, -such as federation, hierarchy or market-, inherited from “Organizational Theory”. All these concepts are useful to structure, rule or at least understand at a macro level the coordination patterns of the different partners involved in a workflow or an Inter-Organizational Workflow (IOW).

PhD Research Topics – CSIRO ICT Centre, Canberra:

—————————— —————————— —————————— —————————— ————————-

 1. Real-Time Stream Processing using GPUs

============================== ===

Over the last decade, data analysis has become central to important scientific discoveries. In almost every field of science ranging from astronomy to marine biology, colossal amounts of data are being generated in very short periods of time. Modern computing resources are capable of efficiently collecting and storing vast data streams. However, the scalable and distributed analysis of such large data sets in real time poses compelling research challenges. In addition, application service providers performing real time analysis of streaming data attempt to abolish the existence of erroneous data that cause uncertainty and erroneous judgments. Specifically, there exists a distinct requirement for intermediaries that easily map exhaustive computations on large data sets to heterogeneous and distributed computing resources by ensuring data quality and reducing errors to deliver better quality of service. As a consequence, there is an increasing need for innovative software solutions, new hardware architecture and methodologies that harvest emerging distributed computing resources in an efficient manner. This PhD project will develop a novel set of architecture, algorithms and tools to perform real-time data stream processing, using a variant of MapReduce Programming model, running on GPUs.

2. High-Throughput/High-Content Analysis in Bio-Science Applications

============================== =======================

The Transformational Biology Platform within the Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia is supporting activities that aim to accelerate the analysis of biological specimens. One application in view is to automatically identify protein crystals from a time series of 2D images of slowly evaporating solutions. According to the current operational flow, once images are acquired from physical specimen, downstream processing is performed for feature extraction and further analysis such as classification, clustering and ranking are performed. While the processing phase in the operational pipeline is readily parallelizable, care and planning need to be taken to realize the potential for computational speedup. This PhD project will create approaches for efficient image data management and parallelize execution (in the form of workflows) that can be used in the development of bioscience image analysis pipelines. Two potential computational biology applications for this project are: i) high-throughput assessment of protein crystallization experiments and ii) pollen image analysis.

3. Integration of Body Sensor Networks and Cloud Computing

============================== =================

A specific class of wireless sensor networks is Body Sensor Networks (BSNs) that represent an emerging platform for many human-centered applications, spanning from medical to gaming and social networking. This area is particularly dense of interest because foreseen real-world applications of BSNs aim to improve the quality of life by enabling continuous and real-time non-invasive medical assistance at low cost. In a common health care scenario, assisted livings are monitored by BSNs able to gather data streams to be not only processed in real-time but also stored in remote medical data repositories. This implies a huge amount of data to be transmitted, stored and analyzed. In such contexts, management of a large number of isolated BSNs as well as cooperative BSNs to support applications for e-Health, e-Society, etc will be an important issue to deal with. Moreover, both on-line and off-line analysis of data coming from such networks should be supported by efficient infrastructures for processing and storing data such as Clouds. This PhD project will conduct design, architecture development, analysis and development of applications for the management of processes and data in large-scale systems based on wearable sensors, optimization of sensor data streaming, and use of innovative Cloud-oriented paradigms. This work will be conducted in collaboration with Prof. Giancarlo Fortino from University of Calabria, Italy.

4. Dynamic and Scalable Replication for Content Delivery Networks

============================== ====================

Today’s Internet content providers primarily use Content Delivery Networks (CDNs) to deliver content to end-users with the aim to enhance their Web access experience . CDNs typically host third-party content including static content, streaming media, user-generated videos, and varying content services. With the rapid growth of Peer-to-Peer (P2P) techniques and the improvement of digital content production and retrieval tools, the CDN industry, i.e. content delivery, consumption and monetization, has been undergoing rapid changes. The multi-dimensional surge in content delivery from end-users has led to an explosion of dynamic (and uncachable) content, such as such as user-generated clips, VoD libraries, and IPTV services; new content formats as well as an exponential increase in the size and complexity of the digital content supply chain. The effectiveness of existing caching mechanisms is reduced due to this dynamic content, high frequency of content refresh, and

the presence of personal user information. It is further complicated by the convergence of Web 2.0 with user mobility that disrupts access locality due to user migration among edge nodes. Hence, innovative solutions integrating replication and caching are required for the management and delivery of the dynamic and personalized content. This PhD project will develop a novel suite of architecture, algorithms and practical tools to allow dynamic, scalable and efficient content replication and delivery mechanisms in CDNs.

5. Manipulating the Linked Open Data cloud

============================== =============

Linked Data technologies have rapidly gained momentum in the last years as the primary means for publishing data on the Web. The uptake of Linked Data technologies has lead to the extension of the Web with a public Linked Data space containing more than 6.7 billion pieces of information, making it by far the largest source of multi-domain, real-world data currently in existence. This data space is increasingly being used for both research efforts and real-world applications. As a result of its explosive growth, several problems have emerged within the Linked Data space, including the lack of well documented tools for publishing, editing and consuming the data. Currently, when publishing Linked Data one needs to first define a webpage in HTML and then uses RDF to annotate the data with semantic concepts. If RDF is used to present data, one needs to find a way to bind the data to the presentation. This Phd project will extend an RDF based User Interface language that in a similar fashion to XForms separates the purpose (data publishing) of a Web application from its presentation. The student will investigate how this language can be used in combination with business process moedlling languages to develop user interfaces that can manipulate data in the linked open data cloud. The end user of these user interface should be unaware of the semantic Web language underlying this approach.

6. Distributed BPEL processes in the cloud

============================== ============

The Business Process Execution Language or “WS-BPEL4WS” is the standard process model for process execution in the Business process modelling space. As more and more businesses deploy parts of their business processes in the cloud, traditional execution models of BPEL processes need to be changed. Instances of the same process might run on different machines in the cloud and even the location where the data resides for a given process instance might be unknown to the execution engine at run time. In this PhD project the student will investigate which parts of the BPEL model and its execution are affected when a process is deployed on multiple machines in the cloud and how to mitigate the issues by introducing language constructs and an execution modelled suited for distributed Cloud processes.

7. Social Network for services

==============================

Human powered (aka crowd-sourcing) systems gave promising solutions to problems that were unsolved for years. Crowd sourcing is used in social networks that contain large datasets about people’s skills and work experience to match them with companies who are looking for a specific set of skills and expertise. Employers can directly address prospective candidates via the community (a “crowd”), through an open call. Crowd-sourcing leverages mass collaboration enabled by Web 2.0 technologies. An example of such a social network for experts is LinkedIn, which contains an immense knowledge base created by it’s users. However, for job providers it is not trivial to find the one expert that has the skills and expertise required and is also available. The goal of this PhD project is to radically leverage, and improve the utility of future Internet services by merging context-aware technologies, semantic analysis and advanced data modeling for the needs of workers, professionals and businesses. In contrast to LinkedIn, the project aims at pursuing a federated and decentralized social networking ecosystem provided that can be shared by professionals and companies. The project will push the state of the art in information and expertise management in social network by introducing a new social network paradigm that builds a Semantic Web-enabled “expertise-enabled” social networking infrastructure on top of a decentralized and federated Social Web architecture. That way, professional capabilities and profile information will be modeled using Semantic Web technologies and Linked Data principles, enabling interoperability with other professional applications inside and outside the enterprise. Instead of the existing “friend” and “acquaintance” model, the project aims to provide “expertise-centered” social networks. In particular, the social network layer proposed will be suitable for: federated deployment, across existing silos, and effective social information processing and discovery, both by professionals or end users.

 ICT 2014 Research Topics Some of these activities and research programs are identified in the ICT-LEIT part of the work programme of Horizon 2020: The EU Framework Programme for Research and Innovation. Detail information on ICT Master’s, Doctoral and Independent research available on  http://ec.europa.eu/research/participants/data/ref/h2020/wp/2014_2015/main/h2020-wp1415-leit-ict_en.pdf

• A new generation of components and systems
• Advanced Computing
• Future Internet
• Content technologies and information management
• Micro- and nano-electronic technologies, Photonics
• De-verticalising technology solutions with CPS platforms that cut across the barriers between application sectors including mass consumer markets.
•  Bringing together actors along the value chain from suppliers of components and customised computing systems to system integrators and end users.
• Creating new ICT Platforms for both vertical and core markets from automotive, health , smart buildings and energy to wireless communications and digital consumer products and services.

ICT 2 –   2014: Smart System Integration     S pecific Challenge : The aims are to develop the next generations2  of smart systems technologies and solutions, based on systemic miniaturisation and integration, of heterogeneous technologies, functions and materials, and to establish European competitive ecosystems for the design, R&D, prototyping and testing, manufacturing and industrialisation of  smaller,  smarter  (predictive,  reactive  and  cognitive)  and  energy  autonomous  Smart Systems. These ecosystems will provide services for cost efficient access to European manufacturing capabilities and expertise, including training, design and pilot line production and testing, in particular for new users of Smart Systems. This specific challenge contributes to the strategy of micro and nano electronics KET in the area of More than Moore and complements the activities of topic ICT25.     S c ope : The focus is on: a.   Research & Innovation Actions for one or both of the following:

• To  advance  the  state  of  the  art  of   heterogeneous  integration  of  micro  and nanotechnologies (nanoelectronics, micro- electro-mechanic, magnetic, photonic, micro-fluidic, electrochemical, acoustic, bio/chemical principles and microwave technologies) into smart systems.

Work will be driven by industrial requirements and specifically target multi- disciplinary R&D in the following areas: –    Miniaturised   systems   based   on   high   density   3-dimensional   heterogeneous integration. –    Autonomous deployable smart systems that include efficient energy management (Zero  Power  technologies)  and  energy  harvesting  from  their  operating environment, –    Advanced  Smart  systems  with  multi-functional  properties,  including  sensing, storing, processing, actuation and ultra-wideband communication. Actions may address performance, design and testing, but the focus will be on the integration into systems, including manufacturability and packaging.  

•  A Predictive modeling by multilevel networks of wearable sensors and cell phone data
• Data distillation from Social Big Data stream
• Advanced SMT Techniques for Word-level Formal Verification – (WOLF)
•  Remote sensing techniques for digital Earth applications

From  http://ict.unitn.it/application/project_specific_grants#cstv5   You might be interested in ICT Doctoral (PhD) Research Topics from UniMore at http://www.ict.unimore.it/index.php/for-students/research-topics Finding (useful) research on ICT use in education in developing countries ~ A World Bank Blog on ICT use in Education http:/blogs.worldbank.org/edutech/finding-useful-research-on-ict-use-education-in-developing-countries

ICT Topics for Research and Thesis

With times changing constantly with the advancements in ICT and others, I’m going to summarize few wider domain that could be of interest to you:

• E-Health Technology and Applications
• Identity and Access Management
• Advanced Network Technology, Security and Management (IPv4 and IPv6)
• Internet Backbone and Optical Technology
• Futuristic and Green Network
• High Performance Computing Technology and Applications
• Grid and Cloud Infrastructure, Technology and Applications
• Big Data Technology and Applications
• E-Culture and Cyber Networked Performance
• Disaster Mitigation
• Climate Service Applications
• Social science with Internet
• Agriculture with network

20 thoughts on “Thesis Topics for Master's and PhD in Information & Communication Technologies (ICT)”

Thanks for these inspiring thoughts and topics – I’m always looking for nee topic to write about, not only for a master thesis. My first best inspiring source always was and still is GRIN’s archive here: http://www.grin.com/en/catalog – hope it helps you on as well, as it helped me in the past a thousand times. I also publish with them… but that will be the next step 😉 All the best and hope to read a lot final results soon.

We are going to extend the list of possible thesis/dissertation topics and areas, suggest your scope or area of interests.

I am searching some hot topics for research in Wireless Communication related to GSM Technology.

I hv very much interest in distributed computing/processing and parallel processing as well, so if u can suggest more on it then plz….

i want to do my disertation in wireless sensor networks. please tell me suitable topic in wireless sensor network.

i looking for Master thesis in IT SAP …could you suggest some topics

Hallo, I am looking for master thesis topics in IT project management

Looking for a Master Thesis in the filed of wireless communication/Telecommunication/Networking domain

Thanks Sir….Looking for Thesis topic Related to Cloud and Big Data

Hello friend, Could you suggest me anything about Telecomunication for Master Thesis?

please Sir Can you suggest topics for MSC project in computer security .

Please sir i am interested on "social networks for services" i will like to use it as my desertation topic, can i get your assistance on this?

well addressed sir. Iam looking for master thesis related to communications and information systems. please suggest any.

I would like to write my master degree dissertation on the application of wireless sensor network in curbing pipeline vandalism through remote surveillance, monitoring and alert systems.

I am looking for topics in online or elearning

I am searching for the dissertation work for MPhil in ICT in database or network

Hi. help me to find a idea on PhD project in the E-health technology and applications

Hi sir , please help me with masters thesis on how ict has improved the courtroom and even the law office

I need innovative title for ict in education for mphil

hi sir please help me with master thesis to how to selected topic on semantic web and Machine learning and also Big data analytic

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Department of Earth and Planetary Sciences

Master in earth sciences.

The Master's degree study programme in Earth Sciences at ETH Zurich is characterised by practical training and a comprehensive science education.

The Master's degree study programme in Earth Sciences provides multi-disciplinary approach: field work, analytical methods, lab experiments, numerical simulation, e-learning, case study analysis, and teamwork.

Four different majors

By choosing one of the offered majors the students define the main area of their educational path:

• chevron_right Major in Geology
• chevron_right Major in Engineering Geology
• chevron_right Major in Mineralogy and Geochemistry
• chevron_right Major in Geophysics

Students will receive personalised advice in order to plan their studies according to their interests and career goals.

Career opportunities

Earth Science graduates work in a wide variety of jobs, all over the world in sectors like environmental consulting firms, mining and exploration companies, oil companies, research institutes, government, and educational institutions.

Structure of the programme

Courses are organised into topical blocks (modules) of 12 ECTS. Each major has four compulsory modules and numerous elective courses from the complete offerings of ETH Zurich and of the University of Zurich.

Master's thesis in Earth Sciences

The Master's programme in Earth Sciences is concluded with the Master's thesis. The subject of the thesis is in the major study area and represents either an applied or fundamental research project.

Application for Master's studies

The application for Master's degree programmes with start in Autumn Semester 2024 is closed.

Download Study Guide: Master in Earth Sciences (PDF, 603 KB) vertical_align_bottom

Study Coordination

• Location location_on NO D 55
• Phone phone +41 44 632 64 83

Dep. Erdwissenschaften Sonneggstrasse 5 8092 Zürich Switzerland

Science in Perspective (Wissenschaft im Kontext)

The study programme “Science in Perspective (Wissenschaft im Kontext)” enables students at ETH Zurich to develop new perspectives on the contents of their core subjects.