sports analytics phd

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A Day in the Life of Jack O'Brien, MBA '25

A Day in the Life of an MBA Student

Navigating MIT Sloan: The Experience of a Student, Veteran, and Parent

Sloan and Sports

Jason Rehhaut

Apr 10, 2019

“What do you think about the Bryce Harper signing with the Phillies?” I asked Mike Petriello, current Stats Analyst for Major League Baseball and podcast host and former writer for baseball analytics website Fangraphs.com.

This is why I signed up to be part of the Organizing Committee for the MIT Sloan Sports Analytics Conference . An avid reader of Fangraphs since college, I loved the quantitative analysis of sports, especially baseball. With this opportunity, I was able to geek out with someone whose views I respected and share a room with the likes of Adam Silver, Jeannie Buss, Paul Pierce, and Michael Lewis.

As a former auditor and management consultant with Deloitte for 6 years, my decision to attend business school was not an easy one. I had great momentum in my job as a Senior Consultant, yet I knew I wanted to shore up skills I found lacking in my toolbox. I sought a general management business school experience to supplement my liberal arts undergraduate education that incorporated a quantitative and analytical focus. Additionally, because I considered sports fandom my side job, I longed for the opportunity to break into the sports industry and turn my “side job” into a full-time career.

When I made the decision to apply to business school, MIT Sloan was number one on list. It checked the box for the type of education and experiences I was searching for. With a rich alumni base in sports and an easy opportunity to make connections in the industry through the conference, I knew Sloan would be the right platform to jump-start the process.

I began my quest to be an Organizing Committee member as soon as I stepped foot on campus. I met with multiple second year students, some of whom were on the Leadership Team this year and some who were not, to discuss their experiences and determine how to get involved. These conversations helped me steer my organizing committee application in some ways I was not expecting, and I ended up being chosen as a member of the Content Team.

Though there are multiple ways to get involved with the Conference, my specific responsibilities included owning two panels and co-leading the Competitive Advantage (“CA”) talks. There are roughly forty of these CAs over the two-day Conference. Each one consisting of a 25 minute deep dive into one particular topic. One individual working for a team, league, or company in the sports industry presents. As a reference point, the VP of Strategy for a Major League Baseball team presented his analysis of the types of social media posts that drive fan engagement across multiple social media platforms. The Chief Operating Office of another Major League Baseball team reviewed the market research performed that led to the development of his team’s membership-based season ticket program. In my role, I brainstormed potential topics and coordinated with about twenty different speakers, including the two above, working across various sports entities from the planning stages through the end of the Conference. These interactions not only helped me develop organic relationships with some of the speakers that still continue to this day but also helped me learn more about the industry that I used in my internship search.

I was also able to leverage my role on the Organizing Committee to set up meetings with various professionals across different teams and leagues during the Conference. The purpose of these meetings ranged from reconnecting with those I had spoken with in the past to learning more about how different teams and leagues are tackling their problems all the way to discussing potential internship opportunities. All of the meetings were a success in that I developed a new connection and learned something new about the industry. One meeting in particular ultimately led to my summer internship, which consists of me assisting Major League Baseball with their content strategy.

All in all, my time working on and attending the Conference was very similar to my time at Sloan in general. The Conference exceeded my expectations in every way imaginable, and I am looking forward to co-leading it next year!

Jason Rehhaut, MBA 2020

From Los Angeles, Jason is passionate about the intersection of sports and business.

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Numbers are the name of the game

Statistics have always been part of sports. But the digital age has altered the playing field, as organizations seek out those with the skills to use statistics as a tool for success. Combine sports marketing skills with the analysis and management of data when you earn a master’s in Applied Data Science with a specialization in Sports Analytics at IU Indianapolis.

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Sports Analytics Specialization

Succeed with a winning combination.

Analytics is a crucial part of decision-making in amateur and professional athletics . Teams rely on those with the knowledge to interpret data and relate it to the world of athletics. (Nikhil Morar—pictured above—earned his Applied Data Science master's degree with a specialization in Sports Analytics from our program, and became Manager of Business Analytics & Strategy for the Los Angeles Lakers basketball franchise.)

Indianapolis boasts 10 professional sports teams. The city is home to the National Collegiate Athletic Association (NCAA), the National Federation of State High School Associations, and is widely considered the Capital of Amateur Sports.

By teaming up, the Luddy School in Indianapolis and the Department of Tourism, Event, and Sport Management  draw on a unique mix of resources to offer B.S./M.S. in this exciting field.

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I was able to use machine learning and descriptive statistics to create actionable scouting reports focused on finding strategies that will give a team a better chance of winning. Rishi Chandran, M.S. '23 & Basketball Operations Seasonal Assistant with the Cleveland Cavaliers

Careers in Sports Analytics

Our sports analytics alumni work for some of the greatest teams in the NBA. On game day, it's all about the numbers!

Nikhil Morar

Manager of Business Analytics & Strategy for the Los Angeles Lakers

“Sports organizations need analytics experts who can turn data about their customers and teams into revenue-generating strategies."

Gabriel Wachowski

Research and Innovation Analyst for the Milwaukee Bucks

"Overall, the job has been absolutely incredible. I definitely feel like having my master’s was extremely important to being ready for the job that I have. My classes at IUPUI and my internship (with the Indiana Pacers) were both instrumental to where I am today."

A skill set tailored to sports

Students who earn a Master of Science in Applied Data Science with a specialization in Sports Analytics learn core skills in data analysis, data management and infrastructure, and client–server application development, and ethical and professional management of data projects.

Earn additional competencies in sports sales, the management of massive, high-throughput data stores, cloud computing, and the data life cycle.

Degree requirements

The plan of study is 30 credit hours. It includes six core courses and four specialization/ elective courses. Transfer students may be able to transfer in approved graduate courses from an accredited institution.

F-1 students can only take one online course per semester. They must take a minimum of 8 credit hours per semester; the exception being in their final semester. These limitations apply to fall and spring semesters but not summer sessions.

Core Courses (18 credits)

• INFO-H 501 Introduction to Data Science Programming
• LIS-S 511 Database Design
• INFO-H 510 Statistics for Data Science
• INFO-H 515 Statistical Learning  (Prerequisite: Graduate Statistics course)
• INFO-H 516 Cloud Computing for Data Science  (Prerequisites: Graduate Database course)
• INFO-H 517 Visualization Design, Analysis, and Evaluation  (Prerequisite: Programming experience)

Students may test out of LIS-S 511. Students do not receive credit toward their required 30 credit hours by testing out of a course. However, they may instead replace the course with a specialization course or approved elective.

Specialization + Elective Courses (12 credits)

Specialization Courses

• TESM-T 562 Economics of Event Tourism (Fall)
• TESM-T 582 Applied Sport Event Research (Spring)
• TESM-T 598 Master’s Consulting Project (Summer)

Elective Courses

• INFO-B 505 Informatics Project Management
• INFO-H 518 Deep Learning Neural Networks
• INFO-H 519 Natural Language Processing with Deep Learning  
• INFO-H 695 Thesis/Project in Applied Data Science (MS Thesis students only)
• INFO-I 575 Informatics Research Design
• INFO-I 595 Professional Internship
• INFO-I 698 Research in Informatics (Independent Study)
• INFO-P 502 Modeling Crisis
• NEWM-N 510 Web Database Development

Thesis or Project

The Thesis/Project is available to highly motivated students ready to carry out publishable research. Students must prepare a prospectus and gain a commitment from a  primary faculty advisor  with research interests in data science by the end of the first semester. By the end of the second semester, students must complete a course on research design and methods (e.g.,  INFO-I 575 or  LIS-S 506 ).

The thesis or project must be completed in two semesters or in a semester and summer. Thesis students register for a total of 6 credits and project students register for a total of 3–6 credits of  INFO-H 695 Thesis/Project in Data Science . Students are required to prepare and defend a research proposal with a timeline of deliverables in addition to the thesis or project.

Plan of study for fall admissions

Fall year 1, spring year 1.

• INFO-H 515 Statistical Learning
• INFO-H 516 Cloud Computing for Data Science
• INFO-H 517 Visualization Design, Analysis, and Evaluation
• Sports Analytics Specialization or Elective Course

Summer Year 1 (Optional)

Fall year 2.

• Sports Analytics Specialization or Elective Course (If not taken in Summer)

Plan of study for spring admissions

Spring year 2, ready to get started.

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Luddy Indianapolis

Sports Analytics Certificate Program | Northwestern SPS - Northwestern School of Professional Studies

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Program Overview

Sports Analytics

Sports Analytics Certificate Program

The graduate certificate in Sports Analytics focuses on the skills necessary to work in today’s data-intensive and data-driven world. This online certificate provides the technical and leadership training required for key positions in sports team management and analytics. Building upon Northwestern University's graduate program in data science, it reviews key technologies in analytics and modeling, probability theory, applied mathematics, statistics and programming. It shows how analytic techniques may be used in evaluating player and team performance and in sports team administration. 

STACKABLE CERTIFICATE

Complete this four-course certificate and apply your credit to either the  MA in Sports Administration  or MS in Data Science program at SPS.

About the Sports Analytics Certificate Program

Graduate certificate in sports analytics learning outcomes, sports analytics curriculum, sports analytics course schedule, sports analytics faculty, admission for the sports analytics certificate program, sports analytics tuition, sports analytics registration information, applying credit to sps graduate programs, find out more about northwestern's sports analytics certificate program.

After successful completion of the certificate, students will have the knowledge, skills, and aptitude to:

•  Build and interpret mathematical models of real-world phenomena in and across multiple disciplines
• Apply statistical techniques to the processing and interpretation of data from various industries and disciplines
• Use exploratory data analysis, predictive modeling, and presentation graphics in working with player on-field and on-court performance measures
• Employ modeling methods in studying player and team valuation, sports media, ticket pricing, game-day events management, loyalty and sponsorship program development, and customer relationship management

Students are required to complete the following four courses to earn the certificate:  

• MSDS 400 Math for Data Scientists
• MSDS 401 Statistical Analysis
• MSDS 456 Sports Performance Analytics
• MSDS 457 Sports Management Analytics

Review curriculum details while you consider applying to this program. Current students should refer to the   curriculum requirements   in place at time of entry into the program.

The Sports Analytics Course Schedule page provides you with detailed information on the program's offerings.

You can find a full listing of our instructors in this certificate program on the Sports Analytics Faculty page.

A variety of factors are considered when your application is reviewed. Background and experience vary from student to student. For a complete list of requirements, see the  Graduate Certificate Admission  page.

Tuition costs can vary for each of our programs. For the most up-to-date information on financial obligations, please visit our Sports Analytics Tuition page.

Our Sports Analytics Registration Information page outlines important dates and deadlines as well as the process for adding and dropping courses.

Students that are interested in the option of applying their credit to either the MA in Sports Administration or the  MS in Data Science program at SPS must submit an online application and submit all required application materials .

Students that elect to apply to a master's program before completing a graduate certificate will be able to count completed courses toward the applicable master's degree, but there will be no certificate conferred.

If you are interested in exploring this option, please contact the SPS graduate advising team for information on how to pursue a master's degree at SPS.

We have 40 sport analysis PhD Projects, Programmes & Scholarships

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sport analysis PhD Projects, Programmes & Scholarships

Bridging the gap: investigating the professional landscape of applied performance analysts in sports performance analysis, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Self-Funded PhD Students Only

This project does not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

PhD Scholarship in Applied Nutrition: Effects of a fermented drink on the gut microbiome of professional football players. A collaboration between Sheffield Hallam University and Aston Villa Football Club.

Competition funded phd project (students worldwide).

This project is in competition for funding with other projects. Usually the project which receives the best applicant will be successful. Unsuccessful projects may still go ahead as self-funded opportunities. Applications for the project are welcome from all suitably qualified candidates, but potential funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

PhD Scholarship in Applied Nutrition: Sleep and the Professional Football Player. A collaboration between Sheffield Hallam University and Aston Villa Football Club.

Self-funded phd opportunities in sport and exercise sciences.

The PhD opportunities on this programme do not have funding attached. You will need to have your own means of paying fees and living costs and / or seek separate funding from student finance, charities or trusts.

PhD Research Programme

PhD Research Programmes present a range of research opportunities shaped by a university’s particular expertise, facilities and resources. You will usually identify a suitable topic for your PhD and propose your own project. Additional training and development opportunities may also be offered as part of your programme.

Safeguarding Practices in Sport

Brentford football club and cardiff metropolitan university fully-funded phd studentship - monitoring psychological load, recovery and wellbeing in academy football players, funded phd project (students worldwide).

This project has funding attached, subject to eligibility criteria. Applications for the project are welcome from all suitably qualified candidates, but its funding may be restricted to a limited set of nationalities. You should check the project and department details for more information.

Biomarkers Associated with motor Neurone Disease and Dementia development after concussion in Females and Males: BANDD.

Promoting healthier behaviours among black african and caribbean populations in the uk: a positive deviance approach (ref: ssehs/hok24), funded phd project (uk students only).

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

Brentford Football Club and Cardiff Metropolitan University Fully-Funded PhD Studentship - Evaluating Training Load and Physical Development in Academy Football Players

Remote sensing and advanced spectral analysis for coaching and rehabilitation, developing an interrelated bottom-up understanding of the issues experience by women football players by listening to the stories they want to tell (ref: sf24/hls/ser/cook), the development of physical employment tests for elite soccer match officials, impact of ischaemic pre-conditioning on oxygen uptake kinetics: implications for training and recovery, an investigation into the mental health, well-being, and coping strategies amongst uk and irish jockeys (wd_2024_01_wsch_spons), mres - investigating the biomechanical factors influencing the efficiency and injury risk of female and male fast bowlers in scotland (project id sas0201).

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AnalyticsDegrees.org

Schools With Sports Analytics Degrees

On This Page:

Are you a sports fan with a knack for crunching numbers? Considering a career in sports analytics but need help figuring out where to start? This guide exists to help you explore the popular field of sports analytics. Below, we list schools with relevant programs, including quantitative sports business, sports performance analytics, sports science analytics, exercise analytics, and more. Jump into our listings to find a sports analytics degree and kickstart your career.

What is Sports Analytics?

Sports analytics involves the application of data analytics tools & techniques to sports-related data. Famously, sport analytics has been used to analyze player & team performance—the Moneyball approach that makes the best of your players’ strengths (e.g. on-base percentages) and compensates for their weaknesses. This is often called on-field analytics .

But sports data reaches far beyond the boundaries of the playing field. Sports organizations and entertainment companies are also deeply invested in metrics like ticket & merchandise sales, social engagement, fan acquisition, sponsorship & advertising spends, marketing campaigns, and more. This is usually called off-field analytics . And it’s where a great deal of revenue is being generated.

What Does a Degree in Sports Analytics Look Like?

Sports analytics degree pathways.

Sports analytics professionals come at the field from all kinds of directions:

• Data Analytics: Lots of folks decide to earn a bachelor’s degree in data analytics, data science, computer science, or statistics and focus on sports analytics with electives & minors.
• Business Analytics: Some start by majoring in business at the undergraduate level and then opt to pursue a graduate degree in analytics.
• Sports Analytics: Others bite the bullet and specialize in sports analytics or sports performance & analytics early.

Read up on the job market before you make a decision! Data-focused roles in sports can be highly competitive. On top of your degree, you’ll need a focused portfolio, relevant internships & work experiences, and strong networking connections to attract the attention of major league employers. Ask yourself:

• Do I want to commit 100% to sports analytics or leave my options open for better paying roles in tech, business, and finance?
• Could I get into an analytics or data science program at a top-tier university and customize the curriculum to suit my interests in sports?
• If it’s a sports analytics degree or nothing, am I choosing the right school ?

If you already have a bachelor’s in a technical field, you may not require a master’s in sports analytics to break into the industry. Create your own sports-focused projects. Earn some industry certifications . Enter competitions like the Big Data Bowl. Think about a graduate certificate . Many roads lead to the Colosseum.

Popular Majors for Sports Analytics Pros

• Business Analytics
• Computer Science
• Data Analytics
• Data Science
• Sports Analytics
• Sports Management & Analytics

How to Choose a School

Although there are plenty of big names in our sports analytics listings (e.g. University of Notre Dame), we also recommend you skim through listings of standard degrees in data analytics and business analytics . This will give you the full picture of what’s available. Whatever the major, look for schools that:

• Excel in computer science, analytics & statistics—these will be the bedrock of your work
• Employ faculty in Athletics & Sports Science Departments who love using data
• Support collegiate sports teams
• Fund research institutes that are devoted to sports data
• Host sports analytics hackathons
• Encourage student sports analytics clubs
• Sponsor trips to MIT Sloan and other important analytics events
• Provide opportunities to work with sports organizations on data projects & internships
• Have an excellent track record of job placements for analytics graduates

You’ll end up with plenty of exciting choices. For example, the University of Michigan doesn’t have a specific degree in sports analytics, but it does have a Wolverine Sports Analytics student organization, a sturdy Master of Business Analytics (MBAn) , and undergraduate programs in Sport Management . Step back and see the whole field.

Sports Analytics Coursework & Requirements

Admissions requirements for sports analytics majors.

To make your life a little easier, we’ve included links to admissions requirements in our listings . Even if you don’t meet the GPA requirements, talk to the program coordinator. You may be able to prove your passion through work experience and industry projects.

Undergraduate

For a bachelor’s degree in sports analytics, universities will expect to see your high school transcript. You may also be required to provide academic recommendations from your teachers. ACT & SAT scores are often optional, but check our admissions links to be sure.

Typical requirements for a master’s degree in sports analytics include a bachelor’s degree from a regionally accredited college or university, a minimum undergraduate GPA (e.g. 3.0), a current résumé, 2-3 letters of recommendation, and a statement of your goals.

• GRE or GMAT scores may or may not be required—it depends on the school. For example, Marquette only needs to see GRE scores if your GPA is below 3.0.
• Most schools will be looking for some experience in statistics & quantitative ideas. For example, Miami U wants to see evidence of college-level coursework in statistics, predictive analytics, programming languages, and college-level mathematics (calculus & algebra). But you’ll be able to take prerequisite undergraduate courses if you need them.

Sample Coursework for Sports Analytics Majors

Sports analytics is a new’ish major, so schools are experimenting with the structure of the degree. Use the curriculum links in our listings to get a sense of what we mean. For instance, if the university has a great School of Business, the degree might focus on topics like sports & entertainment marketing, business analytics, and the business of sports. Everyone is playing to their strengths.

Bachelor’s degrees in sports analytics usually contain a mix of business & technical subjects. Always check the title—BSBA programs will lean more toward corporate concerns; BS programs will usually have a lot more coursework in statistics, computing, math, and advanced analytics.

To get you started, here’s a hypothetical example of a 120-credit Bachelor of Science in Sports Analytics:

• General Education (GE) Requirements: Lower division coursework in social sciences (e.g. microeconomics), humanities/foreign languages, natural sciences, and liberal arts. Schools will often want you to earn credits in communication.
• College-Level Mathematics: Expect to take 100- and 200-level courses in statistics and calculus before moving up to more advanced topics (e.g. linear regression).
• Analytics & Computing Topics: You’ll be able to tackle data analytics subjects like programming with R & Python, data visualization, data management, and research & experimental design through the lens of sports. Some schools will take it up a notch with more advanced data science work.
• Sports & Business Subjects: As you move into your junior & senior years, you may also be exposed to ideas around sports management, sports performance, and sports economics. As we mentioned, some schools will go hard on business topics.

Master’s degrees in sports analytics follow the lead of their department. Some are offered by the College of Business; others are spearheaded by the School of Computing. In our listings , you’ll see graduate degrees that mix data analytics & data science concepts with business, sport performance, exercise, and sports media.

• Career Changers: Some sports analytics graduate programs are designed for folks who want to get into the field. So they’re covering fundamentals like data visualization, coding in R and Python, and Machine Learning (ML).
• Advanced Learners: Other MS in Sports Analytics programs allow you to go farther in your technical explorations (e.g. deep learning neural networks) and specialize in specific areas (e.g. sport gambling & analytics).

Make sure you talk to the program coordinator about your current skill level and job goals. Then ask for a list of recent alumni job placements. That will tell you if you’re aiming too high or too low.

You’ll also need to decide if you’re interested in research work or more corporate roles. Research-focused programs may offer you the option to write a thesis. Other programs will end with an industry-focused capstone project that you can include as an element in your résumé.

Can You Earn a Sports Analytics Degree Online?

Yes. You’ll find a number of online sports analytics degrees in our listings —look for the “Offered Online” tag. The vast majority of them will be 100% online, but it’s always best to check. Some schools may expect you to visit the campus for one-off events (e.g. orientation) or exams. You’ll also need to know if the program is offered in an asynchronous, “learn on your own time” format or if it contains synchronous, “real-time” classes.

• Undergraduate Advice: Online learning has become more commonplace since the COVID-19 pandemic, but we’d caution you against earning an Online BS in Sports Analytics. It’s a niche degree for a cutthroat field. In a distance format, you won’t have the opportunity to work with professors on sports industry projects, participate in sports analytics student club activities & hackathons, and volunteer to help your school’s sports teams.
• Graduate Advice: Online graduate degrees & certificates in sports analytics may be more acceptable for employers—especially if you’re already working in a data-focused job. Before you commit, ask about the logistics. What kinds of analytics software will you use (and will you have to pay for it)? How do online students access real-world data sets? Are there opportunities to collaborate with other online students or professors? Can you take advantage of career & networking resources?

What Can You Do with a Sports Analytics Degree?

What does a job in sports analytics look like.

There’s no simple answer to this question—data-focused jobs in sports can be all over the show. The Moneyball scenario is only one small part of the industry. Reddit threads are full of other intriguing career stories & examples. In general, you’re going to be looking at two avenues after graduation:

• Sports-Focused Analytics Jobs: People in these “front office” jobs use data to help sports teams and leagues win more games, improve their athletic performance, hone their coaching & scouting techniques, and the like. Pay is often low, hours can be long & strange (night games, anyone?), and job competition is fierce . To put it bluntly, there are far too many people applying for too few positions.
• Sports-Adjacent Analytics Jobs: You’ll find more openings for “back office” analytics jobs that deal with the business of sports. Think of data-hungry fields like sports marketing, advertising, media, ticket & merchandise sales (e.g. Ticketmaster). Analytics pros also find jobs in sports medicine and health informatics. Or they work for sports gambling & betting organizations. Or they help build software products, websites & apps for sports organizations (e.g. Sidearm).

Establish where your strengths lie and chat to current professionals before you make any decisions. Because there’s such a huge supply of job candidates, the phrase “overqualified and underpaid” is thrown around a lot in sports analytics circles. If you want to get involved on the performance side, you should be ready for a passion position that’s not going to pay as well as other fields. You may also be limiting your future career path by specializing early.

Industries Hiring Sports Analytics Grads

• Major League Sports Teams
• Collegiate Sports Teams
• Betting & Gambling Organizations
• Casinos & Sportsbooks
• Entertainment Companies
• Advertising & Media Companies
• Sports Marketing Companies
• Sports Tech Start-Ups
• Sports Consulting Companies
• Ticket Providers
• Health Informatics Organizations
• Sports Medicine & Human Performance Labs
• Wearable Device Companies

Sports Analytics Internships & Fellowships

One of the best ways to get your foot in the door for a sports analytics job is to volunteer for a team—collegiate, amateur, or minor league. You don’t have to go full “Bill James” (unless you want to). You just need opportunities to build up your analytics portfolio. If you’re interested in sports marketing, launch a few campaigns & critique the results. If you have a passion for performance, ask the athletes to start feeding you data.

Some schools are really proactive when it comes to sports analytics internships. They’ll connect you to major league teams in your area or facilitate projects with collegiate leagues. One undergraduate senior from MIT found himself interning for the New England Patriots. If you’re having trouble finding opportunities, we’ve included links to options below. This is just the start—there are a lot more out there!

Examples of Industry-Sponsored Internships

• Big League Advantage (BLA) Internships
• MLB Summer Internship Program
• NBA Business & Basketball Training Program
• NFL Summer Internship Program
• Warner Bros. Discovery Sports Analytics Internships

Examples of University-Sponsored Internships

• Charlotte 49ers’ Sports Analytics Internship Program
• Samford University Sports Analytics Internships
• Wharton Sports Analytics Research Lab

Examples of Mentorship & Fellowship Programs

• MIT Sloan Sports Analytics Conference Mentorship Program
• Women in Sports Tech (WiST) Fellowship Program

5 Key Career Tips from the Pros

We canvassed the industry to find out what sports analytics experts had to say about the job market. Here are their top 5 tips condensed into one easy list:

• Create a Sports-Focused Analytics Portfolio: And get your projects out there on Twitter, GitHub, Kaggle, and Reddit. In addition to working on technical projects for fellow data lovers, be sure to create data visualizations & presentations for non-technical users (e.g. coaches and executives).
• Network Strategically: Attend the annual MIT Sloan conference and other key sports analytics events . Join your school’s sports analytics club. Get a team together for a hackathon. Connect with people you admire on LinkedIn. Networking is half the game in finding a sports job.
• Amass Relevant Work Experience: Employers will be looking for technical prowess, passion, and subject-specific expertise on your résumé. You can prove your worth ahead of time by interning for local teams & amateur sports organizations and working on class projects in your chosen field.
• Practice Your Communication Skills: The sports world is full of people who are suspicious of data. If you want to move up in the ranks or secure a top-paying consulting job, you need to be able to explain your findings to all kinds of audiences. Practice presenting at conferences, events, and clubs.
• Learn the Dialect: Sports analytics may be part of data analytics, but it has its own unique vocabulary, tools, techniques, and models. It’s a little like learning a dialect for a language. Explore other people’s projects and become familiar with the lingo.

Sports Analytics Job Titles & Salary Numbers

Sample job titles for sports analytics majors.

To help you get a handle on day-to-day requirements & salary numbers, we’ve listed real-life examples of job titles for sports analytics graduates below. Use them to search for openings in your area and see what kinds of skills are desired. You may also want to visit the job sites in our resources section.

Junior Level

• Data Analyst, Player Recruitment & Performance
• Performance Analyst & Sports Scientist
• Sports Data Analyst
• Sports Trading Analyst
• Sports Statistical Analyst
• Sports Sales Analyst
• Sports Statistician
• Market Research Analyst

Senior Level

• Data Scientist, Game Analytics & Strategy
• Director of Analytics (Major League Team)
• Director of Data Science (Major League Team)
• Manager of Business Analytics & Strategy
• Manager of Club Strategy
• Director of Fan Engagement Data Science
• Director of Performance Science
• Sports Data Scientist
• Principal Sport Scientist

Salary Numbers for Sports Analytics Professionals

You can find ballpark figures for salaries (pardon the pun) by exploring BLS state & city wage data for Statisticians , Operations Research Analysts , and Data Scientists . Sports analytics jobs fall under all of these categories. Websites like Glassdoor will also give you salary estimates for some of the titles we’ve mentioned above.

For more insider info, check out Reddit threads on sports analytics jobs. That’s where you’ll find long discussions about why many data analytics & data science roles in sports don’t pay as well as roles in other sectors.

• A lot of sports analytics applicants are willing to agree to lower salaries so they can work for their “passion.”
• Improving a team’s performance is just one small part of a massive marketing & sales machine. And it may not do much to affect the bottom line.
• Sports organizations are often very lean & money-conscious.

There are exceptions. Gambling tends to be lucrative (no surprise) and experienced sports consultants can command a healthy price for their analytics services.

Sports Analytics Resources & Organizations

Career-building resources.

• Carnegie Mellon Sports Analytics
• Ken Jee’s Sport Analytics YouTube Playlist

Competitions & Hackathons

• Big Data Cup (Hockey)
• Big Data Bowl (NFL)
• Kaggle Competitions
• Milwaukee Bucks Analytics Hackathon (Basketball)
• MIT Sloan Sports Analytics Hackathon
• Women in Sports Data Hackathon

Conferences & Networking Events

• Carnegie Mellon Sports Analytics Conference
• MIT Sloan Sports Analytics Conference
• SABR Analytics
• UT Austin’s Texas Business of Sports Summit
• Wharton Sports Business Summit
• Women in Sports Data

Data Sources & Research

• Sports Reference (REF) Sites
• iWorkinSport Job Fairs
• Jobs in Football (Soccer)
• MIT Sloan Sports Analytics Career Resources
• Teamwork Online
• Journal of Sports Analytics
• Wharton Sports Analytics Journal

News & Inspiration

• ESPN Analytics
• GeekWire Sports Tech Newsletter
• Sports Viz Sunday (Data Visualizations)

Organizations & Associations

• Sports Data, Analytics & Technology Association (Sports DATA)
• Women in Sports Tech (WiST)

All Sports Analytics Degree Programs

Samford university.

Brock School of Business / Center for Sports Analytics

Birmingham, Alabama

Master of Business Administration with Concentrations in Sports Business and Data Analytics (with Internship in Center for Sports Analytics)

Offered Online

Player and Team Performance Analytics Track (BS in Economics/Concentrations in Sports Marketing & Data Analytics with Internship in Center for Sports Analytics)

Sports finance analytics track (bs in finance/concentrations in sports marketing & data analytics with internship in center for sports analytics), sports marketing analytics track (bs marketing/concentrations in sports marketing & data analytics with internship in center for sports analytics), california baptist university.

College of Arts & Sciences

Riverside, California

BA in Sports Analytics, Quantitative Sport Business Concentration

Ba in sports analytics, rehabilitative sports analytics concentration, ba in sports analytics, sports performance analytics concentration, university of the pacific.

Eberhardt School of Business

Stockton, California

BSBA in Sports Management and Analytics

Connecticut, university of new haven.

Pompea College of Business

West Haven, Connecticut

MS in Sport Management, Business Analytics Concentration

Wilmington university.

College of Business

New Castle, Delaware

Certificate in Sport Analytics

District of columbia, american university.

Department of Professional Studies

Washington, District of Columbia

Graduate Certificate in Sports Analytics and Management

Master of science in sports analytics and management, mercer university.

School of Business

Macon, Georgia

BBA - Concentration in Sports Marketing and Analytics

Northwestern university.

School of Professional Studies

Evanston, Illinois

Graduate Certificate in Sports Analytics

Indiana university-purdue university-indianapolis.

School of Health & Human Sciences

Indianapolis, Indiana

Master of Science in Sports Analytics

Trine university.

Department of Business Administration

Angola, Indiana

Bachelor of Science in Business Administration (BSBA) in Sport Management - Business Analytics

Bachelor of science in business administration (bsba) in sport management - marketing analytics, bachelor of science in business administration (bsba) in sport management - sport analytics, university of notre dame.

Department of IT, Analytics, and Operations (ITAO)

Notre Dame, Indiana

Master of Science in Business Analytics (MSBA) - Sports Analytics

Massachusetts, lasell college.

Newton, Massachusetts

Master of Science in Applied Sports Science Analytics

Michigan state university.

College of Natural Science

East Lansing, Michigan

Mississippi

University of mississippi.

School of Applied Sciences

University, Mississippi

Master of Science in Sport Analytics (MSSA)

Syracuse university.

Falk College of Sport & Human Dynamics

Syracuse, New York

BS in Sports Analytics

Certificate of advanced study in sports analytics, ms in sports analytics, north carolina, university of north carolina at charlotte.

School of Data Science

Charlotte, North Carolina

Sports Analytics Certificate

Miami university-oxford.

College of Education, Health, and Society

Oxford, Ohio

Master of Sports Analytics

University of akron main campus.

Department of Management

Akron, Ohio

University of Oklahoma Norman Campus

Department of Health & Exercise Science

Norman, Oklahoma

Master of Science Sports Data Analytics

Pennsylvania, temple university.

School of Sport, Tourism, and Hospitality Management

Philadelphia, Pennsylvania

Master of Science in Sport Business & Sport Analytics

Rice university.

Department of Sport Management

Houston, Texas

BA in Sports Analytics

The university of texas at austin.

McCombs School of Business

Austin, Texas

Analytics and Business of Sports Minor

Virginia tech.

College of Liberal Arts and Human Sciences

Blacksburg, Virginia

Bachelor in Sports Media and Analytics

West virginia, university of charleston.

Computing & Technology

Charleston, West Virginia

Marquette University

The Graduate School

Milwaukee, Wisconsin

Master's in Sports and Exercise Analytics

Sport Analytics and Technologies

Qualification(s) available: msc.

Our MSc Sport Analytics and Technologies programme is designed for individuals who wish to develop a critical understanding of how technology is impacting on sport, in particular the growing sport digital and media sectors.

Sport is embracing digital technologies to improve performance and shake-up tired and redundant business practices, which is why it is a great time to study a sport analytics degree. On our sport analytics degree, you will investigate cases of data driven decision-making and strategy formulation to outline how statistical analysis and data visualisation is informing sport business trends and solutions. You will investigate cases of data driven decision-making and strategy formulation to outline how statistical analysis and data visualisation is informing sport business trends and solutions. You will examine how the sport industry is actively embracing digital technologies to improve performance and shake-up tired and redundant business practices, gaining a critical understanding of mobile internet and the latest cloud technologies, with a special emphasis on media cloud applications shifting to mobile Internet platforms. Together the faculty will introduce you to the latest research and devices driving the sport digital and media environment, and other related areas. Loughborough University London sits amongst some of the world’s most iconic sporting venues, which continue to host highly prestigious global sports events, such as the Rugby World Cup, UCI Track Cycling World Championships and the LEN European Aquatics Championships. Plus next door to our campus is one of the UK’s leading sports television providers, BT Sport. If you are looking for a development, analyst, management or consultancy role in the sport, digital or media sector, then this programme is the perfect choice for you. You will learn closely with industry, and gain hands-on experience of real-world challenges in the sector.

Why you should choose us

Why you should study this degree.

• We offer insights, collaboration and guest teaching from a number of London-based leaders in sport, including World Rugby, BT Sport and many more.
• You will delve into the potential of new media technologies and their influence on innovation in the sports digital and media industries.
• Our programme has an emphasis on media cloud applications shifting to mobile Internet platforms.
• You will be taught on Queen Elizabeth Olympic Park.

Institute for Sport Business

Hear from Lauren about studying within the Institute for Sport Business and what postgraduate life is like at Loughborough University London.

I was looking for a postgraduate programme that connects digital innovations to sports business and Loughborough had the perfect fit for my needs.

What you'll study

The following information is intended as an example only and is typically based on module information for the 2023/24 year of entry. Modules are reviewed on an annual basis and may be subject to future changes. Updated Programme and Module Specifications are made available ahead of each academic year. Please also see Terms and Conditions of Study for more information.

You will learn from the most influential thought leaders, pioneering researchers and creative innovators, exposing you to the latest theories and developments from across your discipline.

Compulsory modules

An introduction to sport analytics.

The module discusses and critiques the theory, development, and application of analytics in sports. Students will learn about the application of analytics in sports for purposes of in-game strategy, player performance, team management, sports operations, fantasy competitions, business development, fan engagement, sponsorship evaluation and other selected topics. Students will be able to critically evaluate the relevant sports literature, interpret sports data, and report to a lay audience.

Sport Business Statistics and Analytics

The aim of this module is to understand the importance of data-driven decision making and strategy formulation, and how statistical analysis and data visualization assist in identifying sport business trends and solutions.

Digital Storytelling for Sports

The aims of this module are to understand the challenges and benefits associated with the translation of raw data insights from large organisational datasets to simple, actionable recommendations presented to non-technical audiences. Using the seven elements of digital storytelling as a conceptual framework, the module will take a big data/decision analytics perspective, discussing the technical aspects of digital storytelling within the context of the organisational roles of a data scientist and data analyst to effectively communicate data insights. 

Optional modules

Choose one of:, digital media audiences and markets.

The aim of this module is to introduce students to the major issues related to users' engagement with digital media. The module examines the evolution of the interactions of audiences with digital media; characteristics of digital media markets; implications of new digital media platforms on the experience of audiences and the associated organisations. Case studies will also be presented.

Strategic Sports Sponsorship

The aims of this module are to:

• Introduce students to key concepts in sport sponsorship
• Develop an understanding of the nature of sport sponsorship.

Sport, Politics, and Diplomacy

The aim of this module is to understand the role that sport plays in political and diplomatic issues at a national and international level. Using contemporary examples from developed, transitioning, developing, and fuel-based economies, the module will explore how sport can be used to positive (e.g., facilitating socio-economic plans) or negative (e.g., whitewashing human rights violations) ends. In doing so, the module aims to promote a critical, evidence-based understanding of the interplay between sport, politics, and diplomacy.

Research and Insight in the Sport Industry

• become familiar with a range of research methodologies to better understand the role and adoption of insight and research in the sport business industry.
• examine the scope and size of the sport business industry globally and the challenges this brings for insight and research.

New Media and Analytics for Sport Business

The aims of this module are to demonstrate how various sport properties are leveraging new media and new technologies, specifically, the Internet and mobile technology. In doing this it will use analytics to study a wide variety of issues affecting the sport industry.

Digital Sport Technologies: Evolution and Application

The aims of this module are to provide a detailed analysis of the evolution and application of digital technologies to sport.

Dissertation

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

• A desk based research project that could be set by an organisation or could be a subject of the student's choice
• A project that involves collection of primary data from within an organisation or based on lab and/or field experiments
• A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.

Collaborative Project

• Provide students with an opportunity to be exposed to project-based teamwork in diverse settings (understood in this context as involving a range of multidisciplinary, multicultural and demographic elements in differing configurations), aiming to strengthen their cooperative and collaborative working skills and competence, while raising awareness and appreciation of diversity itself.
• Provide students with hands on experience of identifying, framing and resolving practice oriented and real-world based challenges and problems, using creativity, critical enquiry and appropriate tools to achieve valuable and relevant solutions.
• Support the development of students' ability to engage in critical enquiry and individual reflection, as well as to apply individual strengths and skills, building on their own educational backgrounds.
• Provide students with opportunities for networking with stakeholders, organisations and corporations, aiming to enhance the competence and skills needed to connect to relevant parties and build up future professional opportunities.

Data Analytics Tools in Digital Economy

• Introduce students to the fundamentals of business intelligence and its application to business decision making in the context of the digital economy
• Introduce students to the leading data mining methods and their application to real-world problems
• Provide students with a core understanding of the common algorithms in data mining and its utilisation on data and resources available relevant to business intelligence.
• Equip students to further explore application areas beyond the module coverage.

Sport Integrity

• Examine the nature of sports integrity and the threats to it presented by the manipulation of sporting outcomes and corrupt governance practices in both national and international contexts, including key legal and regulatory areas.
• Develop a greater awareness of ethical issues in relation to combatting sport integrity issues.
• Explain the role of the board, and senior management, in providing organisational leadership and implementing cultural change, with particular emphasis on composition and values-based leadership models.
• Consider the importance of professional conduct, athlete reputation and public confidence in sport.
• Critically review a range of legal and regulatory issues in sport.

How you'll be assessed

You can expect to complete essays and reports of varying lengths, as well as presentations, proposals and case studies in some cases.

How you'll study

Alongside regular timetabled teaching, you will also have the opportunity to take part in guest lectures and projects on a range of topics.

• Independent study
• Practical sessions

Where you'll study

Based on our London campus you will have access to all the facilities within our building, plus opportunities to learn outside the campus throughout your studies with us.

Entry requirements

Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the drop-down below.

Entry requirements for United Kingdom

A 2:1 honours degree (with a minimum of 60% in final year), or equivalent international qualification, in  wide range of disciplines.

Afghanistan

Bosnia and Herzegovina

Students are required to have a bachelor degree (4 years) for entry to a postgraduate programme. The University uses the Shanghai Academic Ranking of World Universities to identify the required final mark, as outlined on the table below:

Affiliated colleges

The University will consider students from Affiliated Colleges in the following way:

Applicants from colleges affiliated to universities in the top 250 Shanghai rankings will be considered if they have achieved or are likely to achieve final marks of 75%-84%.

Applicants from colleges affiliated to universities which are 251-500 in the Shanghai rankings will be considered if they have achieved or are likely to achieve final marks of 80%-87%.

Applicants from colleges affiliated to universities which are above 500 in the Shanghai rankings will be considered as follows:

• School of Business and Economics: not considered
• All other programmes if they have achieved or are likely to achieve final marks of 80%-87%.

Universities given special consideration

Applicants from a small number of Chinese universities that specialise in business, management, finance or creative arts will be given special consideration by the University. The full list of these universities and the Shanghai band under which they will be considered can be found below:

‌*Special consideration for programmes in School of Sport, Exercise and Health Sciences and Institute for Sport Business only.

Czech Republic

Dominican Republic

El Salvador

Myanmar (Burma)

Netherlands

New Zealand

Papua New Guinea

Philippines

Saudi Arabia

Sierra Leone

South Africa

South Korea

Trinidad and Tobago

Turkmenistan

United Arab Emirates

United States of America

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website .

Fees and funding

Fees for the 2024-25 academic year.

£17,250 Full-time degree per annum

International fee

£30,500 Full-time degree per annum

The fee stated is for a full-time student undertaking a master’s programme of 180 credits. Part-time students should divide the published fee by 180 credits and then multiply by the number of credits they are taking to calculate their tuition fees.

Your development

Loughborough University London prides itself on the high calibre of graduates it produces, and provides great opportunities for you to develop the skills and attributes you need to progress successfully in your chosen career.

Loughborough University London is the first of its kind to develop a suite of careers-focused activities and support that is positioned as the underpinning of every student’s programme. Opportunities include group projects set by a real businesses and organisations, company site visits and organisation-based dissertation opportunities.

Your future career

The careers and employability support on offer at Loughborough University London has been carefully designed to give you the best possible chance of securing your dream role.

This programme will provide you with knowledge of the technologies driving sport digital and media development, and other related activities. You will have the opportunity to develop advanced networking skills and will work in collaboration with others in order to compete in today’s global sport business environment.

Related master's degrees

Msc sport business and innovation, msc sport business and leadership, msc sport management.

Loughborough

MSc Sport Management, Politics and International Development

Msc sport marketing.

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Sports analytics, degrees offered, graduate certificate.

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Departmental Contact

A&s portfolio 4 staff (statistics).

[email protected] 573-882-6376 146 Middlebush Hall

Director of Graduate Study

[email protected] 573-882-6376 146 Middlebush Hall

[email protected] 573-882-7879 134D Middlebush Hall

Officially approved as:

Stand Alone : Yes

Total Credit Hours : 12

Certificate description : The Certificate Program in Sports Analytics at Mizzou offers a unique opportunity for students to learn statistical methods and computational tools to perform analyses for sports. The program will help to prepare students for career opportunities in the exciting and growing industry of sports analytics.

Certificate web site : https://stat.missouri.edu/undergrad/sports-statistics

Admission Criteria

Application deadlines.

Required Application Materials

For the graduate school.

• Completed Graduate School online application
• Unofficial Transcripts- As part of the application submission process, all applicants are required to upload unofficial copies of all post-secondary transcripts to the online application. Official transcripts are only required if accepted by the academic program.
• Official Results of  English Proficiency Exams  (International applicants only)

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We're a subreddit for quantitative nerds who love sports. Our goal is to showcase and discuss interesting links regarding the use of data and analytics in sports. Think of us like /r/sabermetrics, but not specific to baseball. We have a preference for articles that show their work, especially if they include links to their source data.

Interested in Masters or PhD focusing on sports analytics?

What avenues can I explore if I want to do a PhD with research focused on ML and Sports Analytics?

• Youth Program
• Wharton Online

Wharton Sports Analytics Journal

Our mission is to provide a platform for students to showcase their innovative research, empirical studies, and theoretical contributions, promoting critical thinking, intellectual growth, and scholarly engagement within the realm of sports analytics., from the editor.

Dear Friends and Readers,

I’m excited to share the latest edition of the Wharton Sports Analytics Journal, featuring projects from students at universities and high schools across the country.

Once again, this edition features work in major US sports, but also research into mental health, field hockey, and connecting sports with portfolio theory. We hope that this is becoming a core part of our identity – we welcome and encourage research into a wide range of topics, methodologies, and backgrounds.

As the inaugural Editor-in-Chief of the Wharton Sports Analytics Journal, I am incredibly proud of what our team has accomplished over the past two editions – establishing this publication as a premier destination for undergraduate and high school research. I am thrilled to hand the reins over to our next Editor-in-Chief, Katherine Comer W’26 , and watch the new heights she will take us to.

Looking forward, I’d like to invite any high school, undergraduate or graduate student doing research in sports analytics to submit to the journal – we are already accepting submissions for our Fall 2024 edition.

Until then, we hope you enjoy reading and learning from these exceptional projects as much as we enjoyed reviewing them. Please let us know your thoughts and feedback as we strive to bring you the best of sports analytics and statistics.

Krish Shah W’24 SEAS’24 Editor-in-Chief

Krish Shah W’24 SEAS’24 University of Pennsylvania Student Wharton Analytics Fellow

Editor-in-Chief Wharton Sports Analytics Journal

Adi Wyner Faculty Co-Director Wharton Sports Analytics and Business Initiative Faculty Advisor Wharton Sports Analytics Journal

2023-2024 Editorial Board Members

Daniel Coale , W’24 Katherine Comer , W’26 Aryan Nagariya , W’24 SEAS’24 Sam Pasco , C’24 Krish Shah , W’24 SEAS’24

Important Dates

Interested in having your work featured in an upcoming edition.

We are looking for excellent and thought-provoking student research papers exploring sports data and analytics topics from students of all disciplines and programs.

We currently accept submissions on a rolling basis and do not accept paper submissions. To be considered, please submit your research using the form below.

Club Information

The Wharton Sports Analytics & Research Journal (WSARJ) is a vibrant group dedicated to dissecting the sports world from various angles. Primarily, we manage the undergraduate Wharton Sports Journal, reviewing submissions and providing expert, analytical feedback. We also engage in research to deepen our sports knowledge.

Weekly sports seminars every Friday keep us connected with the latest industry trends, and our Thursday meetings focus on analyzing key events in football, boxing, soccer, baseball, among others. Our involvement in major sports conferences ensures members stay ahead in the sports domain.

WSARJ goes beyond being a sports club; it’s a center for intellectual enrichment and professional growth. We guide members in academic courses, especially in data analytics at Wharton, and aid in career development and job opportunities, making WSARJ a comprehensive hub for those passionate about the diverse and dynamic world of sports.

Questions? Please reach out to [email protected] .

Opportunities for Students: Want to explore additional analytics opportunities for students? Learn more here .

Visit the Health Advisories website for the latest vaccination and mask information and to Report a Case.

Questions about FAFSA and CADAA?

Visit our Financial Aid and Scholarship Office for updated information, workshops and FAQs.

Department of Kinesiology

Sport Psychology

About the Sport Psychology Program

Currently, the Sport Psychology program maintains a strong interdisciplinary focus, so that students have the freedom to draw from various disciplines both within and outside of Kinesiology. For example, graduate students have drawn from the areas of Sport Sociology, Cultural Studies, Women's Studies, Exercise Physiology, Cognitive Psychology and Coaching/Pedagogy. Our diverse group of students come from a variety of cultural and academic backgrounds, and past masters degree recipients have gone on to successfully pursue doctoral degrees, as well as work in teaching, coaching and private business. Finally, graduate students now have the opportunity to conduct research in the newly created Department of Kinesiology Qualitative Research Lab, which is equipped with a variety of data collection and analysis materials.

In short, the nationally recognized faculty in the Sport Psychology program share a passion for both research and teaching, and look forward to helping both undergraduate and graduate students achieve their personal and academic goals, whatever they may be.

Sport Psychology Faculty and Staff

Sport Psychology Faculty Bios

Dr. ted m. butryn.

• B.S. in Human Performance (Sport Psychology), University of Tennessee (1993)
• M.A. in Kinesiology (emphasis: Sport Psychology), San Jose State University (1997)
• Ph.D. in Cultural Studies & Sport Psychology, University of Tennessee (2000)

I currently teach and conduct research in both applied sport psychology and critical sport sociology. I teach a variety of courses, including graduate courses in research methods (qualitative emphasis) and sport sociology, and undergraduate courses in psychology of coaching, diversity, stress, and health, and sport sociology. My recent research areas in sport psychology involve the intersection of applied sport psychology and critical sport sociology and cultural studies, athletes' use of music in sport, and I am currently finishing a study on college football players' experiences of friendships. Within the domain of sport and culture, my main emphasis is on the application of cyborg theory to sport, and the cultural meanings of professional wrestling. My recent publications have appeared in The Sport Psychologist, Sociology of Sport Journal, Journal of Sport and Social Issues, Journal of Sport Behavior, and Research in Philosophy and Technology. Finally, I have consulted with athletes in several sports, including men's and women's cross-country, football, men's golf, men's judo, women's water polo, and women's soccer. Outside my professional life, I was a member of the 1991 NCAA championship track and field team at Tennessee, and continue to pursue both competitive and recreational athletic endeavors.

Dr. David M. Furst

• B.A. in Psychology, San Francisco State University (1969)
• M.A. in Physical Education (concentration:Sport Psychology), UC Davis (1972)
• Ph.D. in Physical Education (concentration:Sport Psychology), Penn State (1981)
• M.Ed. in Counseling Education, Penn State (1982)

I currently teach a graduate course in sport psychology and research methods, and undergraduate courses in sport psychology, sport sociology, and stress management. My primary areas of research interests include endurance athletes, attentional focus, and altered states of consciousness. My research studies have appeared in the Journal of Sport and Exercise Psychology, the British Journal of Social Psychology, Journal of Sport Behavior, the Journal of Clinical Psychology, and Psychological Reports. Currently, I am an Associate Editor for Perceptual and Motor Skills and the Journal of Sport Behavior, and I also review textbooks for numerous publishers. I have mentored both masters and doctoral students at three different universities, and one of my doctoral students won the university wide award for the best dissertation of the year. My students have gone on for the Ph.D., or found positions in teaching, coaching, or private business. Outside of academics, I have been a competitive distance runner for over 40 years. Achievements include running the fastest 5K in the US within my age group in 1991, and winning the National Cross Country Championships in the seniors division in 1996.

Dr. Matthew A. Masucci

• B.A. in Liberal Studies (Philosophy & Psychology), Salisbury University, MD
• M.A. in Philosophy, Ohio University
• Ph.D. in Social/Cultural Foundations of Sport & Cultural Studies, University of Tennessee

In my role as the Interdisciplinary Specialist in Sport Studies, I teach a variety of courses including Sport in America, Diversity, Stress, & Health, as well as Graduate Research Methods with a focus on qualitative methodologies. In general my research is interdisciplinary and involves the intersection of cultural studies, critical sport studies, philosophy, and sociology. Primarily my work has centered on the intersection of sport and narrative and the implications on both identity and moral choice making. My research has been published in the Journal of Sport and Social Issues, among others and I have recently presented research on the Tour de France and seven time Tour winner Lance Armstrong at international conferences. In the realm of sport studies, I am currently working on a critical, historical and political analysis of Mixed Martial Arts fighting. I have served on several sport psychology focused Master's thesis and I welcome the opportunity to bring my disciplinary perspective to our student's work. Beyond my scholarly activities, I enjoy participating in a host of outdoor activities including running, hiking and camping. In addition, I have been a competitive cyclist (road, track and mountain bike) for the better part of 20 years and still compete occasionally in multisport and cycling events.

From Data to Solutions

Master of analytics, no. 1 public university, no. 3 graduate program, no. 3 engineering college, the application period for fall 2024 admissions has closed. fall 2025 admissions information will be available in summer 2024..

In our immersive 12-month program, complemented by a strategic summer internship, Berkeley Analytics students emerge at the forefront of industry; leveraging their advanced data-driven analytical methods and leading-edge quantitative tools to become powerful decision-makers who create innovative solutions across diverse industries.

Learn More About the Program

About the Program

The Master of Analytics program is an in-person program with all coursework taking place in Berkeley, California. With access to world-renowned experts, entrepreneurs, and cutting-edge industries, our campus is a hub of discovery and impact. Our wide range of multidisciplinary research centers and institutes foster constant collaboration and innovation.

What Students and Alums Are Saying

“Alongside the rigorous academic curriculum, Berkeley Analytics offers extensive student support, including career counseling and industry networking, helping students achieve success beyond the classroom.”

MEGHA SETIA MANALYTICS ‘24

"In the real-world, the tasks involved in data engineering can often be messier and more complex than in the academic world. Yet, the solid foundation from my coursework at Berkeley has been instrumental in guiding me through these challenges. These courses have not only prepared me to grapple with the intricacies of the real world but also instilled in me the ability to continually adapt and learn in the face of new challenges."

JACK O'DONOGHUE MANALYTICS '23

"I thoroughly enjoyed diving deep into data-driven optimization and decision-making. The hands-on coursework and engaging faculty pushed me to think outside the box and develop critical problem-solving skills. I am grateful for the unwavering support of my classmates, whose passion and dedication inspired me every day."

ADEDEJI ALUKO MANALYTICS '23

Career Services

Our dedicated career services team trains students to excel in communication, leadership, industry-specific knowledge, professionalism, and teamwork across any industry. Benefitting from skill-building workshops, industry info sessions, job fairs, national conferences, and our Career Development Foundations course, students are poised to become influential industry leaders, equipped with not just advanced skills in analytics, but also the acumen to conquer any challenge.

Guiding our students on their professional journey is Dr. Diana Chávez , Director of Career Services . Dr. Chavez brings a  passion for empowering students beyond the classroom, combined with a wealth of experience in cultivating career-ready professionals.

Program Timeline

50 hour python intensive, fall semester, core analytical methods courses, spring semester, elective courses + analytics lab, internship (200 hours), career advancement and global networking.

At Berkeley, you'll be part of a dynamic global network that spans over 500,000 UC Berkeley alums across 180 countries. Benefit from valuable connections, mentorship, and knowledge sharing within our thriving community and engage with industry leaders seeking to leverage UC Berkeley's top talent in analytics. Our students have successfully secured internships and full-time positions with renowned companies such as Tesla, Deloitte, HP, KONE, and many others.

My internship has been a huge eye-opener in terms of the immense impact analytics professionals can have on an organization. The business insights you can unlock with analytics save company resources and multiply company revenue. It's really incredible.

Analytics can revolutionize any industry, not just the traditionally data-rich sectors like finance and healthcare. Now in my role at Hotel Trader, I've seen firsthand how impactful and transformative data-driven decision-making can be.

Student Placements

Application deadline.

The application period for Fall 2024 admissions to the Master of Analytics program has closed. Fall 2025 admissions information will be available in Summer 2024.

Upcoming Events

Navigating your application | info session recordings.

Learn about the Master of Analytics application process by watching the recordings below. For any questions about the admissions and application process, please contact [email protected] .

Latest Methods for Decision Making

The Master of Analytics program teaches students the latest methods for data-driven decision making using tools such as:

Data Analysis

Optimization

Risk Modeling

The Industry

These skills are used to solve complex business and industry problems in areas such as:

Pricing and Finance

Risk Management

Logistics & Supply Chain

Human Resources

Operations Management

The Berkeley Master of Analytics program is offered by the Department of Industrial Engineering & Operations Research . At Berkeley IEOR, we expand the frontiers of optimization, stochastics, and data science, enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance, and risk management.

Analytics is an enabling degree, bridging operations research and industrial engineering with crucial data skills..

#3 ranked IEOR Graduate Program in the U.S. (US News)

Operations Research

Operations Research refers to theory and methods for decision-making through data analysis, optimization, risk modeling, and simulation.

Industrial Engineering

Industrial Engineering includes design, analysis, and efficient operation of industrial and business systems. These can be applied in areas such as logistics & supply chains, service operations, capacity planning, pricing, risk management, scheduling, financing, and human resources.

High Demand for Analytics Talent

In January 2017, there were 2.35 million Analytics and Data Science job postings in the US:

• 500k+ in Finance and Insurance
• 690k+ in Information
• 500k+ in Professional, Scientific and Technical Services
• 230k+ in Manufacturing
• 100k+ in Retail/Trade
• 100k+ in Healthcare and Social Assistance

Of these job postings 67% were in Analytics and 33% were in Data Science. 1

1 PricewaterhouseCoopers Job Market Report, 2017

Job Openings: Data Science vs. Analytics

Future Graduate Titles

• Business Intelligence Analyst
• Data Analyst
• Data Engineer
• Data Scientist
• Machine Learning Engineer
• Operations Analyst
• Supply Chain Engineer
• Quantitative Analyst

4 units practicum, 26 units coursework, and a comprehensive exam

• Python boot camp (50 hours / 0 units)
• INDENG 215 Analysis and Design of Databases (3 units)
• INDENG 240 Optimization Analytics (3 units)
• INDENG 241 Risk Modeling, Simulation, and Data Analysis (3 units)
• INDENG 242A Machine Learning & Data Analytics (4 units)
• INDENG 243 Analytics Lab (project course with Python, optimization & simulation) (4 units) 

*MAnalytics students will take a comprehensive exam based on INDENG 240 and INDENG 241 . The exam will be administered during the RRR week of the Fall semester (the last instruction week of the semester).

*Subject to availability. Please note this is a full list of approved Analytics Elective Specialty Courses planned to be offered in Spring 2025. Course offerings may change from year to year.

• INDENG 221 Introduction to Financial Engineering
• INDENG 222 Financial Engineering Systems I
• INDENG 230 Economics of Supply Chains
• INDENG 231 Introduction to Data Modeling, Statistics, and System Simulation
• INDENG 242B Machine Learning and Data Analytics II
• INDENG C253 Supply Chain and Logistics Management
• INDENG 256 Healthcare Analytics
• INDENG 290 Stochastic Optimization for Machine Learning
• Summer internship (4 unit course / 200 hours)

Learning Goals Include:

Agile analytics development, technical communication, project presentation.

Anil Aswani

Alper Atamturk

Lee Fleming

Ken Goldberg

Paul Grigas

Dorit Hochbaum

Phil Kaminsky

Javad Lavaei

Stewart Liu

Robert Leachman

Thibaut Mastrolia

Shmuel Oren

Daniel Pirutinsky

Rhonda Righter

Zuo-jun "max" shen.

Rajan Udwani

Candace Yano

Application Opens

Wednesday, September 13, 2023

Monday, January 8, 2024, 8:59pm PST

Application Process

Please read the Graduate Division webpages on admission requirements and policies . If you received or are a candidate to receive your undergraduate degree from an institution outside the United States, you will need to also read the section on International Applicants .

The application process is entirely electronic . Please do not mail any documents to the IEOR department. Materials mailed to the IEOR department will not be considered in the application review.

An application will only be considered complete and reviewable if all application materials are submitted electronically by the deadline and all letters of recommendation and official test scores have been received and verified. Incomplete applications will not be reviewed.

Important Deadlines for Fall 2024 Admissions

• Applications open.
• Deadline to submit the online application. The online application portal will not allow applications to be submitted after this deadline. Ensure that your Resume/CV, Statement of Purpose, Personal Statement, Audio/Visual, and transcripts are complete when you submit the application, as these cannot be updated after submission. To guarantee that your application will be reviewed, please submit all required materials by the deadline.
• Deadline for official GRE scores (and official TOEFL scores, if applicable) to be received in UC Berkeley’s application system. Keep in mind that GRE and TOEFL score reports typically take 10-15 days to be verified in UC Berkeley’s application system after they are sent to UC Berkeley. Please plan accordingly. The IEOR department will not take requests to verify GRE and TOEFL score reports after January 10, 2024, and we cannot guarantee that GRE and TOEFL scores verified after this date will be reviewed with your application.
• Deadline for 3 letters of recommendation to be uploaded to UC Berkeley’s application system by the recommenders. We cannot guarantee that letters of recommendation uploaded after January 10, 2024 will be reviewed with your application.

Application Requirements

Note: Application materials can be submitted independently and in any order.

• You must submit an application fee when you apply. The application fee is not refundable. If you are a U.S. citizen or current permanent resident, the application fee is $135; for all others, the fee is $155.
• The application fee waiver is available only to applicants who hold, or will hold, a bachelor's degree or higher from one of the eligible universities noted and meet eligibility at the planned time of enrollment. Visiting scholars and non-degree seeking students are not eligible.
• Please complete and submit your application by the Monday, January 8, 2024 deadline in order to have your application fee waived. This process will happen automatically, on or around the application deadline, based on the undergraduate university information listed in your application. Select the credit card option, but do not pay. Submit your application by the January 8 deadline, but do not pay. Your application will be credited for payment on or soon after January 8 . 
• U.S. citizens or current permanent residents who can demonstrate financial need or who have participated in certain programs are eligible to apply for a Graduate Division application fee waiver. 
• Request waiver here . 
• This Berkeley IEOR Application Fee Waiver Request applies only to the Fall 2024 application cycle.
• Complete the Berkeley IEOR Application Fee Waiver Request form ONLY if you do not qualify for the Graduate Division Application Fee Waiver - applicants should first review Graduate Division's Application Fee Waiver eligibility before proceeding to review Berkeley IEOR Application Fee Waiver eligibility. 
• Applicants must meet at least one of the criteria listed to be eligible for a Berkeley IEOR Application Fee Waiver and must not be eligible for Graduate Division’s application fee waivers. 
• Please complete the Berkeley IEOR Application Fee Waiver Request form before submitting your application. We will review requests within 5 business days and provide next steps via email. Please do not submit your application until you receive a decision; we will not be processing application fee reimbursements. Please complete and submit the Berkeley IEOR Application Fee Waiver Request form no later than January 1, 2024, 8:59 pm PT to provide the 5 business day review time.
• Request waiver here .
• You may only apply to one degree program at UC Berkeley per admission cycle.
• Please remember to submit your application. Complete but unsubmitted applications will not be reviewed. Please note that the online application portal will not allow applications to be submitted after the application deadline.
• For more information, visit: Online Application & Application Fee

We require a bachelor's degree from an accredited institution or recognized equivalent and sufficient undergraduate education for graduate work in your chosen field.

• Linear algebra:  MATH 54 ,  STAT 89A
• Probability:  STAT 134 ,  STAT C140 ,  IND ENG 172 ,  EECS 126
• Statistics:   STAT 135 ,  IND ENG 165
• A minimum of one course in linear algebra and one course in probability or statistics is required for admission. 
• It is recommended that linear algebra and probability or statistics courses are completed by the spring semester before the intended admission term; however, having prerequisites successfully completed at the time of application increases the competitiveness of the application. Online and/or extension courses from accredited colleges/universities are acceptable. 
• Fluency in a computer programming language is recommended by the intended admission term; however, fluency at the time of application increases the competitiveness of the application.
• Completing programming coursework at an accredited institution is preferred, but you can take coursework and/or submit certificates from other programs, such as Lynda, EdX, or Coursera.
• Programming coursework information can be included and uploaded (if applicable) with the application. Do not include coursework from programs such as Lynda, EdX, or Coursera in the Academic History section of the application. Instead, please list this information on your resume and add coursework information and/or certificates to your transcript upload.
• Graduate Division requires a satisfactory scholastic average, with a minimum grade point average (GPA) of 3.0 on a 4.0-scale. 
• Applicants must report their GPA as it reads on their transcript. 
• International students do not need to convert their grades to the 4.0 system.
• The GRE is the only test accepted.
• There is no minimum score required.
• If the exam is taken more than once, the most recent score report will be reviewed.
• We accept valid scores from GRE tests that are offered officially through ETS. Applicants are able to take the Home Edition of the exam.
• Please send the official scores to Berkeley at institution code 4833 . Please do not send them to the IEOR department. Note that a “department” code is not required for your GRE scores to be matched to your online application.
• Only tests taken within the past 5 years are acceptable. For Fall 2024 admissions, tests taken before June 2019 will not be accepted. Tests must also be taken by the application deadline, January 8, 2024.
• Once your application is submitted, you may check the status of your scores on your online application status page. When the scores are matched they will show as “verified.” GRE score reports take 10-15 days to be verified in UC Berkeley’s application system after they are sent to UC Berkeley. If the scores are not verified by January 10, 2024, the scores may not be reviewed with your application. Note that for scores to be verified, it helps if you set up your Berkeley application account using the same name (including spaces) that you use when you register for the exam. It’s also helpful if your GRE registration email address matches the one you use for your Berkeley application.
• UC Berkeley current undergraduates and alumni applying to the IEOR department who earned or will earn their UC Berkeley bachelor’s degree with a 3.5 or higher cumulative GPA are not required to submit GRE scores with their application.
• For more information, visit: Graduate Record Examination (GRE)
• For information regarding TOEFL exemption, please visit here .
• Please send the official score to Berkeley at institution code 4833 . Please do not send it to the IEOR department.
• The minimum score is 90 for the internet-based test (iBT) and 570 for the paper-based test (PBT).
• Only exams taken within the past 2 years are acceptable. For Fall 2024 admissions, exams taken before June 2022 will not be accepted. Exams must also be taken by the application deadline, January 8, 2024.
• The International English Language Testing System (IELTS) is the only acceptable substitute. The minimum acceptable score is 7 on a 9-point scale on your most recent exam. Only tests taken within the past two years are acceptable. Note that other tests, such as the TOEIC, are not acceptable.
• Once your application is submitted, you may check the status of your scores on your online application status page. When the scores are matched they will show as “verified.” TOEFL score reports take 10-15 days to be verified in UC Berkeley’s application system after they are sent to UC Berkeley. If the scores are not verified by January 10, 2024, the scores may not be reviewed with your application. Note that for scores to be verified, it helps if you set up your Berkeley application account using the same name (including spaces) that you use when you register for the exam. It’s also helpful if your TOEFL registration email address matches the one you use for your Berkeley application.
• For more information, visit: Test of English as a Foreign Language (TOEFL)
• Letters of recommendation provide the admissions committee with third party, qualitative accounts of your potential for success in our program. 
• We require three letters of recommendation from all applicants. 
• We strongly prefer that letters of recommendation come from a current direct supervisor, former direct supervisor, faculty, or other individuals with whom you have had significant professional interaction. Please select individuals who know you well and who will take the time to write thorough and thoughtful letters on your behalf. The title of those you select is not important. What does matter is how closely your letter writers have worked with you and whether they can attest to your value as an employee or student, your professional accomplishments, and your personal qualities. We have found the most helpful letters to be recent, relevant, and written specifically for this application. We discourage letters of recommendation from subordinates, family, or friends.
• When completing the online application, you will enter the email addresses of your recommenders and click the appropriate box to have the recommenders upload their letters. You are responsible for ensuring that the letters of recommendations are submitted by your recommenders. We cannot guarantee that letters of recommendation uploaded after January 10, 2024 will be reviewed with your application.
• For more information, visit: Letters of Recommendation
• The Statement of Purpose is your "academic statement" and should convey why you are interested in the program, what you will contribute to the program, and what you plan to do after the program. 
• Academic and research experiences
• Publications and/or presentations
• Internship or employment opportunities you have had
• Your motivation and interests in the program, including your professional objectives, research interests, areas of specialization, etc.
• Additional contributions to your program of study: Let us know how your experience has led to the perfect fit for this program. Are there specific IEOR faculty you want to work with? Why are you choosing this program at UC Berkeley specifically?
• Be concise; an ideal essay should say everything it needs to with brevity. Approximately 500 to 1000 well-selected words (1-2 single space pages in 12 point font) is better than more words with less clarity and poor organization.
• For more information, visit: Statement of Purpose
• The Personal History statement should provide insight to you as a person and any personal experiences that have influenced you to apply for graduate studies in IEOR. Take this opportunity to write about your personal goals, dreams, and what motivates you towards your degree and objectives. Remember to be authentic in your essay, as we want to hear your voice and perspective.
• Discuss how your personal background informs your decision to pursue a graduate degree. This statement can also include any obstacles or barriers that you have overcome during your educational career or any social or community projects/programs with which you have worked.
• Educational, familial, cultural, economic, or social experiences, challenges, or opportunities relevant to your academic journey
• How you might contribute to social or cultural diversity within your chosen field
• How you might serve educationally underrepresented segments of society with your degree
• For more information, visit: Personal Statement
• Official transcripts are preferred. Upload both the front and back of each page of official transcripts, making sure to include the institution grading scale or transcript legend. This is especially important if the institution does not follow the traditional U.S. 4.0-scale.
• Transcripts must include on each page the name of the institution and your full name, and they should chronologically list all classes and grades.
• If your academic records do not include official evidence of the award of your degree, you must also submit additional documents that verify the degree conferral, such as a diploma or degree certificate.
• International applicants: Academic records should be issued in the original language and accompanied by English translations (usually prepared by your university or Ministry of Education, unless the institution issues original documents in English). English translations are required for all languages; degree names and grades should be transliterated, not converted into English words or the U.S. letter grades of A-F. If your home institution does not issue documents in English, you may submit translations prepared by certified translators from the American Translators Association . 
• If an offer of admission is made, applicants will be required to send to the Graduate Division the official paper documents for verification. Offers will not be considered final until the Graduate Division has received the official documents that match the uploaded record. In general, records or transcripts must be issued by the institution and include the institution’s stamp or embossed seal and the signature of the authorizing official. Official electronic transcripts sent directly by the institution are accepted. 
• If you have received or will receive your bachelor’s degree from UC Berkeley, official UC Berkeley transcripts with evidence of degree conferral will not be required if admitted. 
• For more information, visit: Transcripts
• Upload your resume so that the admissions committee may gain a more in-depth understanding about your academic and professional experiences.
• We value a diversity of backgrounds and accept candidates with a wide range of experiences. The admissions committee is not looking at quantity but rather the quality, range, and substance of your experiences. 
• Although work experience is not required for admission, we want to know about your professional, internship, and research experiences.
• Be organized: Remember to be clear and concise with your resume. A resume should not exceed 1-2 pages and should be organized, ideally chronologically.
• Be to the point: Outline your experiences in a well-written (no acronyms) and succinct way that accounts honestly for your accomplishments. You do not need to elaborate on each position held on your resume. Your Statement of Purpose will allow you to dive deeper into these experiences and where you plan to go from here.
• Show clear advancement towards your goals: Your resume should highlight your career progression. Showcase a timeline from the beginning to now. Remember, your Statement of Purpose will fill in where you plan to go from here.
• Please upload a 1-2 minute video or audio file on the Audio/Visual page answering the following prompt: Tell us what characteristics and qualities you have gained through professional, organizational and/or community experience(s) that have prepared you for a career in Analytics.
• Keep your A/V short and straightforward: Be concise in your audio/visual recording. Collect your thoughts and aim to answer the prompt. You want to make sure your viewer does not miss any important information you wish to convey.
• Speak with confidence and enthusiasm: Speaking clearly and confidently will help maintain viewer engagement and help you convey your message.
• Be aware of your environment when recording: If you are submitting a video recording, feel free to be creative with your environment, record on campus, create an exciting background, and/or work with your lighting. Whether working with visual or audio, be mindful of your environment to ensure you have little to no disturbances that could distract from your voice and, most importantly, your message. Remember, your answer to the prompt is what will be reviewed.
• Capture and upload the best possible quality: If recording a video, please make sure your recording device is placed around your eye level. To avoid (or reduce) "shaky cam," keep the recording device stationery while filming. NOTE: It is ideal for the highest quality video to film on a smartphone, as it doesn't rely so heavily on specific software. Remember, you will not be evaluated on the quality of your video.
• Be yourself!

Status Check

After submitting your application, you may check the status of the materials received, processed, and/or verified (fee waivers, test scores, and letters of recommendation) and an admission decision within the university application system.

We ask that applicants do not contact the department to request a status check. Please see the list above for materials required for an application to be considered complete. Incomplete applications will not be reviewed.

Decision Notification

If your application is successful, the IEOR department will notify you that you have been recommended for admission. Only the Dean of the Graduate Division can offer official admission. You have not been officially admitted until you have received the official admission letter from the Dean. 

Admission decisions will be released by the beginning of April.

If you have received a fellowship offer, you will be receiving a separate email announcing your award details.

Denied Students

The admission committee conducts a holistic and thorough review of each application. We are unable to offer specific reasons for denial. While we do not want to deny applicants admission to Berkeley, our graduate program is competitive with generally more qualified applications received than allotted slots for new students.

Admitted Students

Applicants receiving an admission offer who would like to accept should review the Accepting Your Offer of Admission guide from the Graduate Division. This webpage details the steps necessary to complete the three required forms online: the Statement of Intention to Register Form, Statement of Legal Residence Form, and the Non-Immigrant Information Form (for non-US citizens).

We encourage applicants who have received an offer of admission to submit the Statement of Intent to Register as soon as they have decided on a graduate program and no later than April 15th.

After a student accepts an offer of admission, the student will begin to receive information regarding registration, orientation, and the I-20 (for international students).

We kindly ask that all admitted students inform us of their intention to attend (accept or decline).

Deferring Admission

Admitted students who have accepted their admission offer may request for their application to be deferred to the following fall term by emailing the IEOR Graduate Student Services staff with the following information:

• Reason for deferral

If the department approves, a deferral recommendation will be forwarded to the Graduate Division. The Graduate Division will then review and issue a final decision on the deferral application.

For more information about the program, see the IEOR Graduate Student Handbook and the Guide to Graduate Policy .

Please also view the information about   tuition, costs ,  and   financial aid.

Is this program STEM-designated?

What is the difference between data science and analytics.

Data science and analytics although being interconnected in their fundamental resource, data, each have different goals. 

Data science focuses on big data and tackles challenges in data storage, retrieval, cleansing, preparation, mining, visualization, privacy, ethics, and analysis. Data scientists create and leverage algorithms to collect and shape large-scale raw data into something that can be more easily understood. Whereas analytics refers to the process and practice of analyzing data to answer questions, extract insights, and translate data into actionable decisions. This is done using an array of tools, techniques, and frameworks. Analytics professionals closely collaborate with data scientists and bridge the gap between data scientists and product/program managers.

In short, data science explores and tests new methods to store, use and interpret data, whereas analytics focuses on creating data-driven solutions to problems.

What is the difference between the Master of Engineering and the Master of Analytics program at UCB? Do any of these require more technical proficiency?  

While these two programs share some core technical courses, the IEOR Master of Engineering program prepares students for engineering leadership and offers a curriculum with a balance of management and technical content. On the other hand, the Master of Analytics focuses on building data-driven solutions for industry challenges. 

Master of Analytics students begin the program with a 50-hour Python programming language bootcamp, whereas Master of Engineering students begin the program with a pre-semester bootcamp on leadership. 

The Analytics program offers elective decision analytics courses with industry context in place of the Master of Engineering leadership courses. The Master of Analytics also offers an Analytics Lab – a project-oriented course for building analytics solutions in teams starting from raw data. IEOR’s Master of Engineering program focuses on engineering leadership. 

The Master of Analytics program includes a summer internship to help students gain hands-on experience instead of the two-semester Master of Engineering capstone project. 

Both programs have a quantitative curriculum, however, the Master of Engineering program may be a better fit for those more interested in developing leadership skills, while the Master of Analytics program may be a better option for those students with data and quantitative interests along with industry context.

What does the average student profile look like?

Please see our 2023 and 2024 admitted student profiles here .

If I meet the admission criteria, am I automatically admitted?

No. All applications are holistically reviewed by a faculty committee to ensure those recommended for admission can succeed in the program. No applicant is automatically admitted into the program.

Is work experience required for admission to the Master of Analytics program?

No. Work experience is not required for admission to the Analytics program. If you do not have work experience, we will want to know why you are choosing to pursue an Analytics degree at UC Berkeley and we will look for competitive academic records, relevant internships, and clear career goals.

I am not yet ready to apply.  What can I do now to prepare for future admission?

We recommend strengthening one’s knowledge in probability and statistics, computer programming, and linear algebra. If you have minimal analytics-oriented background, gaining this knowledge will maximize your learning in the Master of Analytics program.

Is there an interview process?

At this time, there is no plan for an interview.  If the admissions committee deems it necessary, they may arrange an interview via  Zoom.

Do I need an analytics background to apply to the program? What are common majors that pursue this degree?

Although most applicants generally come from computer science, mathematics, statistics, or engineering majors, the Analytics program application is open to all that meet eligibility requirements.  Long-term success in analytics requires both strong quantitative foundations and an interest in data-driven problem-solving. Applicants that are stronger in one area or the other can still be successful in admissions. We will also ensure that all students develop the required skills to start a promising career in data analytics upon completion of our Master of Analytics program.

Is it possible to apply for admission to multiple programs at UC Berkeley?

No. You may only apply to one degree program at UC Berkeley per admission cycle.

Does IEOR accept students with advanced degrees?

Yes, we welcome applications from individuals who have already completed an advanced degree. Our program can help you to transfer the skills you have already developed and apply them to creating data-driven solutions to problems. Please note duplicate degrees (eg: a completed Master of Analytics from another institution) are not permitted.

My GRE/TOEFL score report shows “awaiting” on my application checklist, but I already sent it to 4833. Have you received it?

GRE and TOEFL score reports take 10-15 days to be verified in UC Berkeley’s application system after they are sent to UC Berkeley. If it has been over 15 days and your status still shows “awaiting,” please contact us at [email protected] , and we will conduct a manual search for your score report. In your email, please include the email address you used to register for the exam, your full name, and your UC Berkeley application reference number. Please note that the IEOR department will not take requests to verify GRE and TOEFL score reports after Wednesday, January 10, 2024.

What would be the criteria in evaluating an application and what is considered in the selection process?

The admissions committee reviews all parts of the application holistically. We seek to identify individuals with strong motivation and academic preparation necessary for successful completion of the program.

Can I take a course from a third-party provider, like Lynda, EdX, or Coursera, to prepare for the programming requirements of this program?

Yes. You can take a certified course and provide it in your application to supplement.

What is the admissions process for international applicants?

International and domestic applications are reviewed equivalently.  Non-U.S. citizens/Permanent Residents may need to submit TOEFL or IELTS  scores to satisfy UC Berkeley’s English Language Proficiency requirement depending upon the undergraduate institution. We strongly encourage all international applicants to submit application materials early to ensure a complete application by the deadline.

Will I be offered a visa?

Learn more about immigration policy updates from the Berkeley International Office.

Will I qualify for OPT since this is an 11-month program?

Learn more about STEM OPT from the Berkeley International Office.

What is the tuition cost for this program? 

Please view the current costs, fees, and financial aid options here .

Are scholarships available?

Scholarships are available on a merit and need basis. You will be reviewed for scholarships based on your application for admission to the program.  

Additional funding opportunities are available on the Graduate Division website .

Where can I find the curriculum?

Program curriculum and course descriptions can be found on http://guide.berkeley.edu/

Can I start the program in the winter/spring?

Berkeley’s Analytics program is offered as a summer (August) start only.

Can the program be offered remotely?

At this time, only the pre-semester Python boot camp is offered remotely (online) in July/August. The fall and spring terms of the program are full-time and in-person.

Is the boot camp mandatory? 

The Python boot camp is not mandatory for Fall 2024 admitted students who are already fluent in Python programming language, but it is strongly recommended for the majority of students.  

Can students take courses outside of IEOR?

Unfortunately, MAnalytics students cannot take courses outside the IEOR department. Unlike the college-wide Master of Engineering program, the Master of Analytics program is run exclusively by the IEOR department, and program fees apply toward courses offered by the IEOR department. Note that additional coursework is available through UC Berkeley Extension , however, this coursework would be an additional cost.

Is part-time study possible?

The Master of Analytics program is a full-time, in-person program.  

Can students opt for a capstone project? 

No, Analytics students complete a 200-hour industry internship in place of a capstone project.

What resources are available to help students obtain internships and jobs?

Master of Analytics students have access to a wealth of resources on campus to support them in their academic and professional journey. These resources are tailored to guide and advise students through their career search and provide them with opportunities to connect with industry professionals and peers. With a range of events, workshops, and self-guided resources available, students can access all the tools they need to succeed. IEOR Master of Analytics Career Services, Fung Institute for Engineering Leadership, and Cal Career Center are all here to help students reach their goals. Check out our Careers page to see the amazing job placements our students have achieved.

Can we also do an internship while completing degree requirements (i.e. the Python boot camp? core/elective courses)?

It is not recommended due to the brevity and intensity of the program.

What are examples of job titles an Analytics graduate might pursue after graduating?

Analytics professionals hold a range of positions across sectors and industries. They have titles such as Data Analyst, Consulting Analyst, Research Analyst, Business Intelligence Analyst, Revenue Analyst, Customer and Product Data Analyst, Finance and Investment Analyst, Quantitative Analyst, Machine Learning Engineer, Supply Chain Engineer, and Software Engineer.

You can find a list of recent IEOR alumni job placements here . 

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	Jul 04, 2024   American University Catalog 2024-2025     American University Catalog 2024-2025 Offered by the Office of Graduate & Professional Studies   , the Sports Analytics and Management (Graduate Certificate) is a fully online program geared toward mid-career professionals. This program equips students with the skills to analyze and measure the impact emerging technologies are having on sports organizations and society. It has been designed to attract students interested in pursuing new or advanced careers in a field that is rapidly changing and growing due to the influence of emerging technologies and innovations. Admission to the Program In addition to meeting the minimum university requirements for graduate study, applicants must have earned an undergraduate bachelor’s degree from an accredited institution with a satisfactory grade point average. 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