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Sports Analytics and Business Initiative

Leading the rapidly growing field of sports analytics and advancing the dynamic sports business landscape, wharton sports analytics and business initiative (wsabi) is a student-focused initiative that uses sports analytics as a vehicle to teach fundamental ideas in statistics and data science to fuel the next generation of data-driven leaders and create pathways into the business of sports., research projects.

Research projects in sports analytics allow our students to advance their understanding of statistics, dive into interesting datasets, and solve real business problems.

Wharton Sports Business Summit

WSABI sponsors and co-organizes The Wharton Sports Business Summit: a student-run conference for industry executives and aspiring student leaders.

Summer Programs

Our summer programs for high school students provide rising juniors and seniors time to spend on Penn’s campus, in our classrooms, and learning from faculty experts while exploring business, analytics, and statistics taught through the lens of sports.

Extracurricular Opportunities

WSABI provides extra-curricular opportunities for students to build out their skills and round out their education with practical experience and hands-on application.

What Role Can AI Play in Sports?

Wharton professors Adi Wyner and Cade Massey join Eric Bradlow, vice dean of Analytics at Wharton, to discuss how AI — along with statistics and data science — can assist with tracking data, player evaluation, making predictions, and more. This interview is part of a special 10-part series called “AI in Focus.”

Our Leadership

Cade Massey - Faculty Co-Director, Wharton People Analytics

Cade Massey

Cade Massey is a Practice Professor in the Wharton School’s Operations, Information and Decisions Department. He received his PhD from the University of Chicago and taught at Duke University and Yale University before moving to Penn. Massey’s research focuses on judgment under uncertainty – how, and how well, people predict what will happen in the future. His work draws on experimental and “real world” data such as employee stock options, 401k savings, the National Football League draft, and graduate school admissions.  His research has led to long-time collaborations with Google, Merck and multiple professional sports franchises. Massey’s research has been published in leading psychology and management journals, and covered by the  New York Times ,  Wall Street Journal ,  Washington Post ,  The Economist ,    and National Public Radio. He has taught MBA and Executive MBA courses for 15 years, receiving teaching awards for courses on negotiation, influence, organizational behavior and human resources. He also co-teaches Wharton’s “People Analytics” MOOC on Coursera. Massey is faculty co-director of Wharton People Analytics, co-host of “Wharton Moneyball” on SiriusXM Business Radio, and co-creator of the Massey-Peabody NFL Power Rankings for the  Wall Street Journal . He lives in Center City Philadelphia.

Practice Professor Operations, Information and Decisions Department Faculty Co-Director, Wharton Sports Analytics and Business Initiative

Adi Wyner

Professor Adi Wyner received his Bachelors degrees in Mathematics from Yale University, where he graduated Magna Cum Laude with distinction in his major. He was the recipient of the Stanley Prize for excellence in Mathematics. His PhD in Statistics is from Stanford University, where he won a National Science Foundation Graduate Fellowship, the Abrams Prize and the Herz Foundation fellowship. After graduating from Stanford, he received the NSF post-graduate fellowship and a visiting Professorship at the University of California, Berkeley. Dr. Wyner has been a Professor of Statistics at the Wharton School of Business for the last 11 years. He is a tenured Professor and the Chair of the Undergraduate Program in Statistics for the University of Pennsylvania.

Professor Wyner is an expert at Probability Models and Statistics. His principle focus at Wharton has been research in Applied Probability, Information Theory and Statistical Learning. He has published more than 30 articles in leading journals in many different fields, including Applied Statistics, Applied Probability, Finance, Information Theory, Computer Science and Bio-Informatics. He has received grants from the NSF, NIH and private industry. Professor Wyner has participated in numerous consulting projects in various businesses. He was one the earliest consultants for TiVo, Inc, where he helped to develop early personalization software. Dr. Wyner created some of the first on-line data summarization tools, while acting as CTO for Surfnotes, Inc. More recently, he has developed statistical analyses for banks and marketing research firms and has served as consultant to several law firms in Philadelphia, New York and Washington, D.C. In addition, he has served as statistical faculty advisor for the University Pennsylvania Law School. His interest in sports statistics has led to a collaboration with ESPN where Dr. Wyner was the PI on the ESPN funded MLB player evaluation research project. He has worked has also served as a statistical expert for hedge funds and private equity concerns.

Professor of Statistics and Data Science Director of Undergraduate Program in Statistics and Data Science Faculty Co-Director, Wharton Sports Analytics and Business Initiative

Michelle Young

Michelle Young

Michelle Young is the Director of Sports Analytics and Sports Business Initiative for the Wharton Sports Business Initiative. She joined the organization in September of 2015 after accumulating more than a decade of experience in various facets of the sports industry.

Michelle began her career in sports business for the Philadelphia Eagles, promoting premium suite and club seat licenses at the newly-constructed Lincoln Financial Field.

She then joined the athletic apparel manufacturer, AND 1, where her management of various aspects of the company’s famed Mix Tape Tour helped expand the Tour’s value as a global sales tool for the brand across Europe and the Asia-Pacific region.

After her time at AND 1, Michelle immersed herself in the collegiate side of sports, occupying positions of increasing responsibility over a seven-year span at Temple University. She first joined the Temple Athletics Department, where she engaged in a broad range of fundraising activities for the men’s basketball and football programs and served as stewardship manager for the Owl Club.

While with the Athletics Department, she also planned a variety of high profile events for NCAA tournaments and bowl games. This experience led to a position in the University’s Office of Special Events, where her event planning responsibilities expanded to include leadership hospitality at sporting and other events and coordinating across multiple University departments to ensure the successful planning and execution of the University’s annual Commencement ceremonies and the Inauguration of University President Neil D. Theobald.

Director, Wharton Sports Analytics and Business Initiative

Our mission, we are a dynamic hub for the sports and business community connecting wharton’s world-class faculty, students, and accomplished alumni network with sports industry professionals and our cutting-edge researchers, offering a unique array of opportunities to advance both student education and professional practice., get involved.

We support and advance a strategic approach to expanding the sports business industry. We connect students to a vast alumni network as well as strong industry connections to apply what they learn in the classroom, tackling real-life issues. Let us know if you are interested in getting involved .

Sports Management & Analytics Courses

  • LGST207  Sports Business Management
  • LGST809  Sports Business Management
  • LGST228  Sports Law
  • STAT401  Sports Analytics
  • STAT405  Stat Computing with R
  • STAT470  Data Analytics and Stat Computing
  • STAT471  Modern Data Mining
  • STAT474  Modern Regression
  • STAT480  Advanced Stat Computing

Wharton Moneyball Academy and Wharton Moneyball Academy: Training Camp provide high school students early access to advanced sports statistics learning opportunities led by Adi Wyner, Professor of Statistics

Undergraduate and MBA students can join their respective clubs to further explore the sports industry, learn about and obtain internships, and create a network between students and industry leaders.

Wharton Sports Analytics and Business Initiative Academic Research Building 265 S. 37th Street, Third Floor Philadelphia, PA 19104 [email protected]

Sports Degrees » Sport Programs » Sports Analytics Degrees

Sports Analytics Degrees

Sports analytics degrees are available at the Bachelor's and Master's level, usually in the form of a track or concentration of a business or sport management degree .

There are two key types of sports analytics - those that are on-field and off-field:

  • On-field sports analytics emphasizes improving the on-field performance of teams and players and digs into the aspects of game tactics and player health and fitness .
  • Off-field sports analytics focuses on the business side of sports or sports marketing , such as helping a sport organization surface insights that would help increase ticket sales, move merchandise, or improve fan engagement.

Are There Online Sports Analytics Programs?

Yes , there are a number of online sport analytics degrees. There are many options out there to round out a student's readiness for the sports analytics world, though some of them require a dual focus. There are very few programs specifically called Sports Analytics . Sometimes there are degree programs in business administration, marketing, or data science and analytics that are focused on sport data analytics.

Consider a sponsored online program currently accepting applications.

Click for more 100% online sports programs that are taking applications for 2024.

What is Sports Analytics?

Like any area of analysis, sports analytics can be summarized by the collection of relevant, historical, statistics that pertain to a specific sport, team, game, or upcoming event. Through the collection and analysis of these data points, players, coaches and other staff are better informed to facilitate decision making both during and prior to sporting events. The information collected by analysts could also be beneficial to betting agencies and broadcast teams.

In Depth Review of Top Online Sports Analytics Programs

American university - online m.s. in sports analytics and management.

American University prides itself on delivering curriculum that is timely and up-to-date with the latest trends, technology, and news within the predictive data sports landscape. The programming at American is divided into four components which comprise what they call the "Professional Studies Experience." Like many of the programs on this list, you work in a cohort of students that begin and progress through at the same time to foster a collaborative environment and make connections outside the classroom. The four components at American are Core, Electives, Field/Professional, and Capstone. Because AU specifically focuses on coursework that is leading-edge, experiential in learning and that includes hands-on study, they are confident in this program's ability to address employers' needs. Students graduate well-prepared to take a seat at the table with their acquired knowledge and skills that can immediately be applied to real-world situations.

Click for more information on the American University Online Master’s in Sports Analytics and Management program, which is 100% online and taking applications for this school year.

Arizona State University - Online BS in Sports Business, BS in Business Data Analytics, and MS in Business Analytics

With analytics degrees at the graduate level and the option to pair a sports business bachelors, ASU provides a competitive array of programming. The BS in business data analytics is a 120 credit hour program comprised of 41 courses that extend for just under 8 weeks a piece. For an online program, this track has a high threshold for admissions with freshmen requiring either a 25 ACT score or 1160 SAT score, a class ranking within the top 8% of students as well as a GPA above 3.4. At the graduate level, students will encounter courses in data mining, decision modeling, and data-driven quality management.

Click for more information on the Arizona State University Online Bachelor of Arts in Business - Sports Business program, which is 100% online and taking applications for this school year.

Maryville University - BS in Sport Management with Concentration in Sport Data Analytics and MS in Business Data Analytics

This online program is uniquely positioned to prepare its graduates for a career in Sports Analytics with a specific concentration in it. On the pricey end of the tuition spectrum, however, this program comes in at $500 a credit, requiring 128 hours for graduation. Another program-specific detail to Maryville is that the coursework has a built-in partnership with both Rawlings and Game Face, giving students access to real-world experience and corporate level connections in the industry.

Click for more information on the Maryville University Bachelor of Science in Rawlings Sport Business Management program, which is 100% online and taking applications for this school year.

University of Mississippi - Online MS in Sport Analytics

Ole Miss ' program is an accelerated, one year, online degree program with two emphasis areas – Sport Performance or Sport Business. The online MSSA program is designed to enhance knowledge, skills, and competencies in data acquisition, management, analysis, visualization and interpretation for improving sport performance and sport business. Coursework has a strong emphasis on practical skills in analytics, focusing on measurement and statistical modeling and big data analytics in the sports arena. The program combines academic, practical, and research-based skills to allow students to develop in their selected area. At just $466 per hour and 30 hours of credit to completion, it's one of the more affordable options available at such a recognizable school.

Indiana University–Purdue University Indianapolis - Online Accelerated B.S/M.S and M.S in Applied Data Science with Concentration in Sports Analytics

There are a few key things that make this program so unique. Beyond a "traditional" online masters degree with a concentration in the sports analytics field, IUPUI also offers an accelerated B.S./M.S. program to earn both your undergraduate and graduate degrees back-to-back and in less time than is typically possible. In addition, while the program itself is online, IUPUI is situated in Indianapolis, the city widely considered the Capitol of Amateur Sports. While it boasts 10 professional sports teams, the city is home to the National Collegiate Athletic Association (NCAA) and the National Federation of State High School Associations. Faculty within this program not only practice in one of the sports analytics hotbeds, they are a combination of masterminds from IU’s Schools of Physical Education, Tourism Management and Informatics and Computing drawing a unique mix of resources for students within this program.

California University of Pennsylvania- Online M.S. in Sport Management with Concentration in Strategic Sport Analysis

Because Cal U 's Strategic Sport Analysis concentration falls under a business-forward graduate degree, it primarily focuses on the business and management issues essential to the sports industry. The program touts three key takeaways that students will graduate with the ability to do including analyze the structure of sports teams and determine their potential (or lack thereof) for future success, strategically manage a club or organization using data analysis, and develop a framework to assist in implementing new strategies as well as handling change management. A unique aspect to this degree program is that it requires a 12 credit mentorship program that can take place at the organization of the student's choosing, including a current employer for those students working through the program while maintaining full-time employment.

View more featured 100% online sports degree programs that are taking applications for 2024.

Common Sports Analytics Course Curriculum

Intro to business data analytics.

Overview of analytics within a business context including concepts of strategy and operations; overview of concepts like data modeling, the model lifecycle, data mining, Key Performance Indicator metrics, ERP, in-database/memory, data stream, etc.

Intro to Sport Business Data Analytics

This course familiarizes students with the major underpinnings of the sport data analytics space. Often considered an ancillary competency in the analytics space, students learn the importance of soft skills in the analytics industry, like effective communication, framing complex problems correctly, and accurately gauging the success of a solution to a key business problem. Common data manipulation tasks in Microsoft Excel are also learned through real-world sports industry case studies.

Business Data Mining

Building predictive analytics (e.g., SEMMA, KDD), exposure to logistic regression, machine learning and decision tree methods. understanding lift factors, ROC curves, hands-on use of mining software, and business case studies.

Quantitative and Qualitative Research Methods

This is an introduction to design and data collection procedures. Students will learn about the nature and application of qualitative research in sports business, how to conceptualize qualitative research and to formulate problem statements and research questions, how to design a qualitative research study and about qualitative data collection procedures-observation, interviews, focus group interviews, and collection and use of documents.

Measurement and Evaluation in Sport

This course presents the foundations for making reliable and valid judgments about matters of scientific concern in sport areas. Basic knowledge of measurement and evaluation for designing the various test settings and conducting the evidence-based practice will be covered, and approaches will be presented that enable you to make sound decisions based on empirical data in sport.

Communication and Data Visualization in Sport

Data Visualization aims to improve comprehension, memory, inference, and decision-making as it refers to issues in sport analytics. This course introduces techniques, algorithms and tools for creating effective data visualizations based on principles and techniques from graphic design, visual art, perceptual psychology and cognitive science. Emphasis is placed on the identification of patterns, trends, and differences among data sets. Students will be able to understand the fundamentals of communication and alignment around concepts required for effective data visualization. Students will be able to select and use techniques, algorithms and tools for creating visualization of real-world data. Students will become proficiency in creating static and interactive visualization for data from a variety of disciplines. Students will be able to use data visualization to support decision-making and critical thinking.

Big Data Analytics and Data Management

The explosion of social media and the computerization of every aspect of social and economic activity resulted in creation of large volumes of mostly unstructured data: web logs, videos, speech recordings, photographs, e-mails, Tweets, and similar. In a parallel development, computers keep getting ever more powerful and storage ever cheaper. Today, we have the ability to reliably and cheaply store huge volumes of data, efficiently analyze them, and extract business and socially relevant information.

The key objective of this course is to familiarize the students with most important information technologies used in manipulating, storing, and analyzing big data. We will examine the basic tools for statistical analysis, R and Python, and several machine learning algorithms. The emphasis of the course will be on mastering Spark 2.0 which emerged as the most important big data processing framework. Other topics include: Spark ML (Machine Learning) API and Spark Streaming which allows analysis of data in flight, i.e. in near real time, NoSQL storage solutions exemplified by Cassandra for their critical features, memory resident databases (VoltDB, SciDB) and graph databases (Ne4J).

Students gain the ability to initiate and design highly scalable systems that can accept, store, and analyze large volumes of unstructured data in batch mode and/or real time. Most lectures will be presented using Python examples. Some lectures will use Java and R.

Predictive Analytics in Sport

Advancements in technology and sports have led to the creation of models that can compute probabilities of sports win/loss prospects as well as analyze the performances of individual players. In this course, students compute simple statistics of a prior game, then use correlation to detect statistical relationships between different metrics. The science of rating and ranking is covered in detail, and regression models will be used for estimating a metric from several predictor variables. Predictive models will then be used to compute win/loss probabilities. Topics include: metrics used for team and player evaluation, Sabermetrics , models for win/loss probabilities, regression techniques, player and team performance report generation.

Common Sports Analytics Career Paths

Collegiate or professional team or business analyst.

Statistics have become such a vital part of any sports program because they help teams make sense of collected data and apply it to practical scenarios to increase performance and, ultimately, lead to successful results. Player statistics can be used to make informed decisions about level of performance, game strategies and recruitment options. Off the field, sports analytics can be used to analyze data about such factors as fan-engagement, ticket sales and concession sales in order to make the business run more efficiently and profitably.

Broadcast or Media Analysis

Sports media companies such as ESPN, Fox Sports or Sports Illustrated are increasingly using sports analytics to enhance their sports reporting. While fans will likely be turned off by a strict discussion of statistics, sports analytics can be used to put sporting events and outcomes into perspective and give fans a greater context to appreciate athlete performance or game outcomes. For example, if a team comes from behind to win a game it is exciting, but it is even more interesting if you know that the probability of that outcome was 0.1%. Sports analytics can be used to improve reporting on sports events and engage fans as well as increase entertainment value.

Fitness or Sports Tech. Analysis

Specifically: wearable technology. It has quickly become essential to the world of sport and it requires sports analysis professionals to develop and advance these products. Wearable technologies collect an enormous amount of data. Sports analytics also plays an important role in the development of training technology such as simulators and virtual reality devices for athletes. Sports analysts with exercise science or kinesiology backgrounds may also find work in human performance labs. These labs use specific athlete training data to fine tune performance and increase training efficiency.

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Sports Analytics Masters Degree Specialization | Northwestern SPS - Northwestern School of Professional Studies

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Sports Analytics Specialization

Sports Administration

This specialization, offered only online, provides technical and leadership training required for key positions in sports team management and analytics. It provides an understanding of how to work in sports management roles in today’s data-intensive and data-driven world. 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 utilized in evaluating player and team performance and in sports team administration. Students pursuing the Sports Analytics specialization are required to take the four-course, online predictive analytics sequence below to fulfill both core and elective requirements. MSA electives do not qualify for this specialization.

SCHEDULE INFORMATION FOR ANALYTICS COURSES

 University of Missouri Graduate School

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Sports analytics, degrees offered, graduate certificate.

100% Online

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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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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Jack O'Brien sits at his computer.

Offered by the Office of Graduate & Professional Studies   , the Sports Analytics and Management (MS) is a fully online, 30-credit hour degree program geared toward mid-career professionals. This program equips students with the skills to analyze and measure the impact emerging technologies have on sports organizations and society. It is designed for students pursuing new or advanced careers in a field that is rapidly changing and growing due to the influence of emerging technologies and innovations. The curriculum’s relevance and applicability to the workplace has been ensured by an advisory council of professionals in the sports industry. Students taking two courses per semester may complete the program in 20 months.

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.

Applicants whose first language is not English must have a satisfactory score on the Test of English as a Foreign Language (TOEFL).

Students are admitted to the Sports Analytics and Management (MS) program in the fall, spring, and summer terms.

Degree Requirements

  • 30 credit hours of approved graduate work
  • Capstone Experience:  SAM-700 Sports Analytics and Management Capstone (3)    

Course Requirements

Prof core (9 credit hours).

  • PROF-600 Innovation Through New Technologies (3)
  • PROF-610 Intercultural Communication for Professionals (3)
  • PROF-660 Data-Driven Decision Making (3)

Field/Professional (9 credit hours)

  • PROF-630 Client Communications and Professional Consulting (3)
  • SAM-600 Strategic Leadership of Sports Organizations (3)
  • SAM-610 Sports Analytics, Marketing, and Consumer Engagement (3)

Required (6 credits)

  • PROF-650 Evaluation: Quantitative Methods (3)
  • PROF-670 Cost Assessment and Program Evaluation (3)

Elective (3 credit hours)

Complete 3 credit hours from the following:

  • APM-600 Adaptive Project Management Principles (3)
  • HCS-600 Standards and Systems in U.S. Health Care (3)
  • HRAM-600 Human Resource Information Systems (3)
  • IDLA-600 Instructional Design Principles and Practices (3)
  • PME-600 Principles and Theories of Evaluation (3)
  • PROF-615 Decision Making and Change Management (3)
  • PROF-620 Professional Ethics and Project Leadership (3)
  • PROF-635 Teams and Virtual Teams (3)
  • PROF-640 Evaluation: Qualitative Methods (3)

Capstone (3 credit hours)

  • SAM-700 Sports Analytics and Management Capstone (3)

Sports Analytics and Statistics Laboratory

Department of statistics.

uva

The Sports Analytics and Statistics Laboratory (SASL) is a part of the Department of Statistics in the College and Graduate School of Arts and Sciences at the University of Virginia, and is the home for analytics and statistics within UVA Athletics’ Sports Science Institute. SASL serves as a hub for various activities related to education, research, and promotion of sports analytics and statistics.  Technological advances have created an explosion of complex data spanning multiple statistical domains (high dimensional time series, network, and spatiotemporal data to name a few), but have left a dearth of statistical methods that are critical for analysis.  In addition, demand for statisticians in the sports domain has dramatically increased due to a recognition of the contributions of statistical analysis to both sports strategy and performance (analytics) and injury prevention and recovery.

SASL faculty work closely with departments across grounds at UVA to identify and fill gaps in statistical theory and methodology that will help advance the state of the art in sports related fields.  In addition, SASL offers courses in sports analytics and statistics, and runs collaborative sports-related projects-- frequently through the Sports Science Institute-- that are suitable for students at the undergraduate, masters, and PhD levels.  Through high-quality collaboration and education opportunities SASL produces graduates who are highly competitive in job markets related to sports analytics and statistics.  

SASL also coordinates several activities, including a reading/working group (WAR), a seminar/webinar series (FTW), and an annual sports analytics conference (SCORES).  We are excited to welcome you to SASL.  Please peruse our website for more information and to learn how to get involved.  We have opportunities for students of all levels, faculty, and professionals.  And feel free to  contact us  with any questions!

Sports Analytics, Graduate Certificate

Sports Analytics

Graduate Certificate

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Program Overview

Decision-making in the companies we work at and in our personal lives is increasingly data-driven. The business and practice of sports management is no different, except for the sheer quantity of data involved. Whether it is linking an athlete’s performance to compensation, designing better methods for spatiotemporal player tracking, or visualizing performance metrics for in-game and post-game analysis, folks involved in the management of player and team data have multiple decisions to make every day. For those who are currently in management or coaching, or for those who wish to break into the field of sports analytics, we offer a novel program that combines the best of academic rigor, software development, and data management in a student-focused graduate certificate. Our educational model is informed by our experience in combining risk-management tools and project-based learning in training students at the undergraduate level for the better part of the past decade. Combining instruction from our dedicated faculty and guest lectures from alumni and industry partners, the MSU Graduate Certificate in Sports Analytics is designed to train the next generation of analysts who will become the leaders of the field of sports analytics in the decades to come. The Michigan State University Graduate Certificate in Sports Analytics is a 12-credit program that combines best practices in data sourcing and model development with a clear understanding of why model may, or may not, suit the data collected. To earn the certificate, students will complete four 3-credit courses, which include topics in: - Algorithm design and analysis - Statistical Computation and Visualization - Quantitatively Informed Decision Making Tools in Sports Analytics - Project design and presentation.

Program Outcomes

Graduates of the certificate will be ready to work at the interface of sports management and machine learning. This course of study is designed with the understanding that models must impact the bottom line of an athletic organization, which is winning championships and increasing revenue. Our program meets the needs of current industry professionals who want to step up their data game as well as anyone who wants to understand the numbers more deeply behind their passion for sports. The certificate will be a valuable credential in our graduates’ portfolio and will demonstrate the certificate holder’s commitment to improving in-game, post-game, and revenue analysis in the competitive, interdisciplinary field that is sports analytics.

Career Outlook

The training and experience gained through the certificate is designed to impact graduates’ careers in two possible ways. First, for professionals who are already in the field, within a team, agency, or league, graduates will be able to formulate and address data-savvy questions for the groups they currently manage. By being able to contribute at different stages of the model development and testing cycle, their employers will gain a competitive edge during the season and other stages of planning, such as free-agency or revenue forecasting. Second, students looking to break into the field will gain exposure to the demands of the field of sports analytics via class and project work. This collaborative project work will also expand their network of industry connections if they partner with students in the certificate who are already in the industry.

A Top-Ranked Education

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Albert Cohen

Albert Cohen

Director of sports analytics certificate program and senior academic specialist.

Albert Cohen is the Director of MSU’s new Certificate in Sports Analytics. Albert received his doctorate in mathematical sciences from Carnegie Mellon University in 2007. A lifelong hockey, soccer, and football fanatic, Albert has been combining his passion for sports with his love for, and training in, applied mathematics by working with undergraduates and MSU Hockey to develop an analytics group for the team. Recently, Albert has started working on professional sports analytics with long-time colleague and certificate program co-founder, Trevor Nill via Spartan Analytics. Building on his experience partnering with industry to build training programs in data science, and his academic research and instructional experience in quantitative finance and insurance, Albert has helped design a curriculum that will maximize the impact of the new certificate in sports analytics.

MTH 801 - Machine Learning Algorithms: Mathematical Analysis (3)

Introduction to the mathematical basis of machine learning and predictive analytics. Linear and ridge regression, principal component analysis, classification methods, and neural networks. Convergence of algorithms.

STT 832 - Data Visualization and Programming in R (3)

Development of sports data predictive models. Extraction and management of sport data, graphical and numerical summaries using visualization tools to model practical sports scenarios. Compilation of written reports on test results and performance outputs.

MTH 803 - Sports Decision Analytics (3)

Theories of sports decisions are developed and assessed through quantitative and stochastic techniques.

STT 834 - Sports Analytics Capstone (3)

Development of quantitative models, based on complex sports-related data sets, to support personnel or revenue-based decision-making from the perspective of a coach, manager, or player agent. Reports, presentations, and code repositories will be delivered.

To be accepted to this program, you must have:

  • Bachelor’s degree from an accredited college or university
  • Have some exposure to college-level mathematics (calculus and linear algebra) OR be willing to take part in preparatory instruction in mathematics and statistics before the first course in the certificate.
  • Taken the TOEFL. (Only required if English is not your native language)
  • A written personal statement
  • A minimum of three letters of recommendation from academic or professional contacts. Provide contact information for your recommenders and the MSU application system will provide instructions to them.
  • Official transcripts from all previous schools

To apply to this program:

  • Complete a university graduate application
  • A non-refundable $65 application fee is required.
  • Request official transcripts from each institution attended. Your application is not complete until we receive your official transcripts.

International Students:

  • For non-US citizens without permanent residency status whose first language is not English, have English language proficiency test scores (TOEFL or IELTS) electronically sent to the MSU Office of Admissions directly from the testing agency.
  • MSU's TOEFL code is 1465.
  • Also, review MSU's international requirements here: https://grad.msu.edu/internationalapplicants . Do not have testing reports mailed to the university or Department of Mathematics.

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The university reserves the right to make changes in the types, structures, rates for fees, and tuition. Every effort will be made to give as much advance notice as possible.

The MSU Value Promise

You can be ensured a return on your investment at Michigan State University.

As one of the top research universities in the world, Michigan State University has advanced the common good with uncommon will for more than 160 years. MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community.

MSU has been offering online degree programs for over 20 years. Our maturity is evident in the high quality of the learning experience enjoyed by our online students.

MSU provides programs and initiatives that support and enhance diversity. We will expand our campus and external partnerships to put in place inclusive recruitment and retention practices. We nurture and promote individuals’ varied experiences and perspectives, ensuring structures and processes make possible full participation by all members of our community.

MSU’s nationally recognized online programs foster student growth and well-being throughout their academic career. We will expand inclusive mentoring practices and accelerate improvement across units to implement evidence-based practices to ensure our students complete successfully.

Continuing education  can be one of the most exciting, challenging, and rewarding experiences you undertake in your life. We hope you consider becoming a Spartan, to learn online and reach your career goals.  With highly ranked online programs and exceptional professors, we educate students who advance the common good with uncommon will.

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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,

Earlier this year we shared plans to change the direction and vision of our publication. We have spent the past few months working to update our submission guidelines, standards, and peer review process to deliver on our mission to be the premier destination for student research in the sports analytics community.

I am excited to share our next step towards that goal, the Fall 2023 edition of the Wharton Sports Analytics Journal, featuring projects from students here at the University of Pennsylvania as well as universities and high schools across the country.

This edition features work in major US sports, including Algorithmic Player Acquisition in the NBA , but also research into volleyball , F1 racing and bias in sports reporting . This range of topics, methodologies and backgrounds, sets us apart from other journals in this space.

As we look forward, I invite any high schooler, undergraduate or graduate student doing research in sports analytics to submit to the journal – we are already accepting submissions for our Spring 2024 edition.

We hope you enjoy reading and learning from these exceptional papers 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

sports analytics phd

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

Editor-in-Chief 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

Spring 2024 – 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.

Research submitted on or before April 20, 2024 will be considered for the Fall Edition. Submissions received after April 20, 2024 will be considered for the Spring 2024 Edition.

April 20, 2024

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 .

Analytics in sports: There’s a stat for that

Virginia Tech and Northern Virginia Technology Council speaker series to explore the sports analytics revolution

  • Michael Hemphill

11 Feb 2022

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Dressed in a suit, Paul Sabin stands on the air at the ESPN studio. Camera crews and production managers surround him, off camera.Photo courtesy Sabin.

For which batters should the New York Mets put on the infield shift?

Paul Sabin has a stat for that.

Why is Lebron James still playing near his peak at an age when most other NBA greats have already retired?

Sabin has a stat for that, too.

Whereas most sports fans see athletes, X’s and O’s when watching a game, Sabin – an ESPN sports data scientist who received his Ph.D. in statistics from Virginia Tech in 2019 – is all about the numbers. He will be sharing his analytical insights at 1 p.m. Wednesday, Feb. 16 as the keynote speaker in “Nerds and Jocks Unite – What's Next in the Sports Analytics Revolution?” part of the Northern Virginia Technology Council Data Science Speaker Series in partnership with Virginia Tech. Registration is required for the online event.

“In some sense, sports analytics has become a loaded term,” said Sabin, “but it’s really the idea of deriving insights from data and using data to make better decisions when it comes to scouting, drafting, in-game decisions like going for it on the fourth down or trying for a 2-point conversion, and so forth.”

Analytics has become so sophisticated that in today’s NBA game, player-tracking technology allows teams to gather 25 data points per second for each player on the basketball court.

“What’s next is not just using player tracking data for game strategy, but advancing frontiers in sports science and injury prevention,” Sabin said. “I think we’ll see huge strides in that, and players like Tom Brady playing until [the age of ] 44, or Serena Williams, or Lebron James playing not too far from his peak at an age when Michael Jordan was wrapping up his career.”

At ESPN, Sabin is one of just four data scientists. “Our motto is to serve sports fans anytime, anywhere, so we’re always trying to create good content and storytelling,” he said. “It’s our job to educate fans, to provide content and context for games.”

While not quite to the level of ESPN’s Monday Night Football broadcast with Peyton and Eli Manning, Sabin has produced and hosted alternative ESPN broadcasts that focus more on data, statistics, even gambling odds, for a few NFL and MLB games – a trend likely to continue and grow

“There’s no other sports media network that has a team like us that is as ingrained in production and broadcasts,” he said.

Of course, much of the nation’s fascination with analytics can be traced to the 2011 movie “Moneyball” starring Brad Pitt as the Oakland A’s general manager who was among the first to adopt a data first strategy over eye-based scouting. 

At the time of the movie’s premier, Sabin, a native of Montgomery County, Maryland, was an undergraduate statistics student at Brigham Young University (BYU). He and his group of friends “all chose sports projects when we had a choice to do research,” he said. “I don’t think I would have been able to have gotten a Ph.D. if I couldn’t have worked with sports data. The subject became a lot more tangible when I could apply it to sports.”

Today, those friends have all found careers in sports: one is director of analytics for the Sacramento Kings; another worked for the Cleveland Cavaliers and Detroit Pistons.

Ready for graduate school in 2014, Sabin desired to move back east, and a BYU professor connected him with David Higdon, head of Virginia Tech’s Department of Statistics, part of the College of Science .

While Higdon’s research focused on more traditional applications such as a company’s customer orders and supply chain issues, the professor has become a huge cheerleader of Sabin’s career.

“When I started in statistics, people just didn’t collect data in this way [for sports],” said Higdon. “Sports analytics was only just starting then, and no one was having a career.”

Higdon is working to ensure Virginia Tech keeps up with this demand. He’s approved one-time classes like “Baseball Statistics” as well as independent study projects for stats students who helped the Hokie softball team design better batting orders. 

“So far it’s been a one-off thing, and the next step for us in our department is how to make this more permanent,” Higdon said. “I think we’re going to try to crack that nut over this next year. Certainly, we want to make hires with people who have expertise in sports analytics. Of course, competing for them right now is difficult because there aren’t a lot of them out there, which is why it’s great that we’re able to bring in Paul. [The College of Science] has a degree called Computational Modeling and Data Analytics , so I’m going to talk to the head of that program and see how do we make this more permanent with Paul.”

Through Higdon, Sabin was invited by Virginia Tech statistics professor Thomas Woteki, who is director of the Academy of Data Science , to speak to the Northern Virginia Technology Council. 

“I got my Ph.D. about 100 years ago,” Woteki laughed. “Nobody ever envisioned a statistician having a career in sports. If I had foreseen that I would probably be a very wealthy man.”

Following Sabin’s keynote, there will be a panel discussion featuring fellow Hokies Zac Robertson ‘13, who is director of analytics and research for the Miami Heat; Ken Pomeroy '95, creator and college basketball analyst of KenPom.com ; and Tanya Coutray ‘92, ‘94, analytics strategy leader at Amazon Web Services.

“Analytics affects every part of sports business from evaluating strategy during a game to the back end with social media engagement and the return on investment from your business partners,” Woteki said. “Everyone understands sports as a fan or spectator, but that same impact is pervasive in almost every line of business. We’re all providers of information these days whether we intend to be or not because of the devices we carry around. That’s how Facebook makes money by providing this information to advertisers. It’s the way business is done.”

Woteki is especially excited about the timing of “Nerds and Jocks Unite” because of its proximity to two of the biggest sports events of the year: the NFL Super Bowl and March Madness.

Still, what makes sports exciting isn’t the increasing reliance on data and statistics, but the unquantifiable human element.

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#datascience | #science of success | #blogging, sports analytics.

Sports analytics in general, and football (soccer in USA) analytics in particular, have evolved in recent years in an amazing way, thanks to automated or semi-automated sensing technologies that provide high-fidelity data streams extracted from every game.

Using Big Data provided by Opta, I use data science to uncover the complex patterns characterizing the success of players, teams and market strategies.

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Sports analytics is all the rage, and two high schoolers want to give their peers a taste of the action

Jayan Gandhi (left) is an 11th grader at Buckingham Browne & Nichols and Jai Malhotra is a 10th grader at Milton Academy.

Jayan Gandhi and Jai Malhotra love sports as much as the next 16-year-old.

It’s their ability to quantify that love that separates them from the pack.

Their mutual delight and knack for sports analytics has led them to establish what they believe is the first sports analytics conference for high school students.

Scheduled for Saturday, March 2, the National High School Sports Analytics Summit at the Boston Convention and Exhibition Center will host up to 200 students with a similar bent for digging into the data that underlie performance, as well as business, in sports.

Invitations have been sent to Boston Public Schools and Greater Boston high schools seeking students to submit original research, network with other students, and increase their analytics skills.

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A bonus will be three keynote speeches from well-established names in sports analytics: Daryl Morey, president of basketball operations for the Philadelphia 76ers; Jessica Gelman, CEO and co-founder of Kraft Analytics Group; and Nate Silver, founder and former editor-in-chief of FiveThirtyEight.

“We’re super pumped to start this,” said Gandhi, a junior at Buckingham Browne & Nichols, “because we both really believe that this will be a great opportunity for high school students who are interested in analytics.”

And not necessarily sports analytics.

“Just get them exposed to the field of data,” said Malhotra, a sophomore at Milton Academy. “We’re doing it through sports at a conference, but we’re also just trying to show students and high schoolers that data is such an important part of our society nowadays and how it can be implemented to a lot of different fields.”

Attending the conference will cost students $35 each, and that includes cookies, chips, water, a t-shirt, and maybe even a water bottle, too.

Malhotra (left) and Gandhi will have their fellow analytics enthusiasts following the bouncing balls — and numbers — at their conference.

Malhotra and Gandhi are raising donations from their own schools and outside sponsors for students who need financial assistance.

“One of our main goals we want to do for this conference is to make it as inclusive as possible,” said Malhotra, “so that people who are not very affiliated with the sports analytics field get more affiliated with it, which is why our ticket prices are significantly lower than the MIT Sloan ones as well as offering scholarships for those who need it.”

The high school conference is not formally associated with the MIT Sloan Sports Analytics Conference , also being held at the Exhibition Center center that weekend, but only age separates the new event from the established one in terms of the interests of attendees and thought leaders.

Morey and Gelman are co-founders of the MIT Sloan conference.

Malhotra’s father, Deepak Malhotra, is a professor at Harvard Business School who knows Morey. Their connection opened the door to Gandhi and Malhotra, who met at pre-school and were classmates at the Chestnut Hill School, making an event out of an interest each has had since middle school.

Gandhi, who is preparing a paper for the conference on a new football statistic for kicker analysis that adds temperature and humidity to the customary distance and wind-speed variables, has been interested in sports analytics since he was 8 or 9 and his parents told him to do something productive rather than simply watching sports from the couch.

“That’s where sports analytics came into play,” he said. “It could combine both the worlds of sports and math and analytics, and put it into one.”

Malhotra’s initiation came in middle school when he was asked to research a subject he was passionate about. Basketball was, and still is, at the top of that list, so he researched what has greater value to a team — great ball-handling or great shooting.

The data delivered “mixed conclusions” said Malhotra.

This conference is the newest version of their longtime interest.

“We’re really excited about the conference,” said Malhotra. “From the beginning, we knew it’d be a lot of work, but we’re pretty passionate about it and knew it was something we wanted to do. We’ve devoted a good amount of time to it, and so far it’s looking pretty good.”

For more information about attending the conference as well as research guidelines, head to: https://www.nhssac.org/

Michael Silverman can be reached at [email protected] .

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25 Best Universities In Moscow For International Students 2024

Moscow is surely one of the places you should be considering if you’re looking to study in Russia . This location has a lot to offer for international students, including world-class universities and exciting student experiences. With more than 59 universities and colleges in Moscow, you’ll surely have a wide range of choices.

Out of 59 universities in Moscow , RUDN University and Moscow State University are the top-performing schools in Moscow. This list covers both public and private institutions in Moscow.

To help you narrow down your school options, we’ve compiled the best universities in Moscow. We based our rankings on academic reputations from reputable sources and the number of international students. By doing this, you’ll have an efficient way of comparing your target universities and choose your host university in Moscow.

How do I get admission to the best universities in Moscow?

Applying to the universities in Moscow involves submitting requirements and following specific admissions procedures set by your chosen university. The requirements often include a student visa, application packages, and language scores. Check out our guide for international students who want to study in Moscow to learn more about applying for admission in this country’s universities!

How much are the tuition fees at the best universities in Moscow?

Tuition fees at Moscow’s universities can vary depending on which university, degree, and program you will be enrolling in. Generally, tuition fees for the bachelor’s level range from 0 RUB to 730,000 RUB , while tuition fees for the master’s level range from 0 RUB to 870,000 RUB. If you are interested, check out the affordable universities in Moscow !

As we cover the best universities in Moscow for international students, feel free to check out the university’s information on Admission, Tuition, Courses, and Language Requirements by looking at the individual university pages.

Top Universities in Moscow for International Students

1 rudn university.

RUDN University is one of the best universities in the capital city of Russia and is known as The People’s Friendship University of Russia. This higher education institution is mostly known for the high number of international students attracted to this university’s high ranking. The university is ranked among the world’s top 500 universities, which speaks volumes about the level of study this university provides.

2 Moscow State University

Moscow State University is one of the largest public universities in Moscow, Russia. This university is the cornerstone of formal higher education, and it provides education to close to 40,000 students. Some of the most attended programs are in the fields of economics, politics, and finance, where students gain real-world experience that may help them in their careers.

3 National Research Nuclear University MEPhI

The National Research Nuclear University MEPhI is one of the world’s most prestigious universities in its field and the perfect place for candidates that would like to specialize in nuclear technology. It focuses on fostering innovation, creativity, and internationalization. The university is known for its wide and highly specialized degree offer and its outstanding research performance. It has multiple institutes that develop studies in areas like nanoengineering, cyber-physical systems, and plasma technologies. These projects are completed in state-of-the-art facilities that include a research nuclear reactor and an accelerator.

4 National Research University Higher School of Economics

The National Research University Higher School of Economics, or otherwise known as HSE University, is one of the best universities of higher education in the capital city of Russia. This institution has one of the largest campuses in the country that houses approximately 50,000 students and can provide them with all the necessary equipment for them to have the best possible experience.

5 National University of Science and Technology MISIS

The National University of Science and Technology MISIS started as a mining academy and then became a steel institute. Over time, it expanded its course offer and modernized its facilities, but it’s still widely known for its programs in metallurgy and mining. Nowadays, the university has six campuses, 8 academic colleges, and multiple research institutes. They also have cutting-edge specialized laboratories in fields such as nanomaterials, cryoelectronic systems, biophysics, casting technologies, and much more!

6 I.M. Sechenov First Moscow State Medical University

I.M. Sechenov First Moscow State Medical University or usually referred to as Sechenov University was founded in 1758, making it the oldest medical school in Russia. It was initially the medical faculty of the Imperial Moscow University and eventually became independent in 1930. At present, the university has more than 18,000 total enrollment and offers undergraduate to Ph.D. programs in Medicine, Sciences, and Professional Education.

7 Plekhanov Russian University of Economics

The Plekhanov Russian University of Economics is a public university with over a century’s history of world-class economics and management education. Programs at the university are strongly focused on practical learning and provide opportunities for students to gain professional and international experience with its numerous partner employers around the world. The university also conducts several initiatives and projects that aim to address different educational, industrial, and social issues. 

8 Russian Presidential Academy of National Economy and Public Administration

The Russian Presidential Academy of National Economy and Public Administration is a very young institution of higher education located in the capital city of Russia. This university has grown in popularity in the region, and it now has over 46,000 students studying in various fields. Despite its youth, this university is ranked among the top 801 universities in the world by the prestigious QS World University Rankings.

9 Bauman University

Bauman University is one of the oldest and most prestigious universities in Russia. It specializes in education and research in applied sciences and engineering. The university boasts excellent programs for all levels of higher education and is home to some of the most advanced scientific laboratories and facilities in the country.

10 Financial University under the Government of the Russian Federation

Ranked among the best universities in Russia and the world, the Financial University under the Government of the Russian Federation is a specialized institution that aims at contributing to the country’s economic development and financial transformation. This is a prestigious university known for being the educational home of many important Russian figures including prominent politicians, millionaires, and CEOs of important companies. It focuses on providing hands-on learning and encouraging critical thinking by using methods like case studies, discussions, and financial projects. It also has partnerships with governmental bodies and major businesses in order to offer workshops, academic collaborations, and internship opportunities.

11 N.R.U. Moscow Power Engineering Institute

N.R.U. Moscow Power Engineering Institute is a public technical university in Moscow with a prominent reputation for producing outstanding scientists and engineers for more than 90. It is also one of the most sought-after universities for aspiring engineers from around the world. The university also has numerous cooperation agreements with foreign universities and companies for its students and faculty to participate in different international programs and activities. 

12 Moscow State Pedagogical University

Moscow State Pedagogical University is a Russian higher education institute that offers Bachelor’s, Master’s, and Doctoral programs. It was established as the Women’s Courses of Higher Education in 1872 and underwent a transformative journey to what it is now. The university is well-recognized with International Partners across the globe, such as the University College of Teacher Education Vienna in Austria, the University of Pardubice in the Czech Republic, and the CY Cergy Paris University in France. Accessibility is a forefront advocacy with dedicated institutes for it, such as the Center for Student Disability Services and Psychological Assistance Center.

13 Mendeleev University of Chemical Technology of Russia

The Mendeleev University of Chemical Technology of Russia is the largest institution that offers education, training, and research in chemical technology in the country. The university was established in 1898 and is dedicated to raising future engineers and specialists who can formulate solutions to the most pressing scientific, industrial, and societal problems. It is also the alma mater of several notable individuals with significant contributions to different branches of science and chemistry.  

14 Russian National Research Medical University

Pirogov Russian National Research Medical University (RSMU) is a private university specializing in medicine located in Moscow, Russia. It was founded in 1906 as the Higher Medical Course for Women. Among the programs available at the university are general medicine, pediatrics, biochemistry, dentistry, pharmacy, social work, psychology, neuroscience, and radiology.

15 Moscow State Institute of International Relations

The Moscow State Institute of International Relations is one of the most prestigious and elite universities in Russia and the world, making it the perfect place for studying anything related to diplomacy, economics, international affairs, or languages. This institution strives for internationalization, which is why it has partnerships with multiple universities worldwide with which it offers dozens of double and triple degrees. It has different research institutes that develop studies in diplomacy, governance, energy policy, and global matters. Additionally, it constantly collaborates with international organizations and local governmental bodies.

16 Moscow Aviation Institute

Moscow Aviation Institute is an aviation school that offers Bachelor’s, Master’s, and Postgraduate level programs. Both the Russian and English languages are used as mediums of instruction. Aside from these university programs, Pre-university and Professional training programs are also offered. Nine dormitory options filled with quality service facilities are present for student residents. Three Metro stations are also near the campus, providing sufficient access for students with no personal vehicles.

17 Gubkin Russian State University of Oil and Gas

The Gubkin Russian State University of Oil and Gas is a specialized institution of higher education. This institution mostly focuses on developments in the field of oil and gas extraction and the safety of this direction. The main attraction for students is the affordable tuition prices for top-of-the-crop programs that are taught by experts in the relevant fields.

18 Russian State Social University

The Russian State Social University is a distinguished university in the country of Russia because it provides all levels of study to both domestic and international students with the opportunity to gain various financial aid through university or state-funded scholarships. This university is located in Moscow and was founded in 1991, but it is making its way slowly toward the ranking of the best universities in Russia.

19 Moscow Polytechnic University

Established in 1865, Moscow Polytechnic University, or Moscow Poly, is one of Russia’s educational institutions that provide technology-related programs. Currently, they deliver education to more than 16,000 local and international students. As they provide top-quality education and research in various fields, they also have various activities on campus to foster diversity.

20 Synergy University

Synergy University was established in 1988 and is one of the top business schools in Russia. The university’s programs are focused on providing strong fundamental knowledge of different principles, theories, and concepts and combining it with experiential learning to develop its students’ skill sets, thereby preparing them for the professional world. Synergy University has a student population of over 65,000 and has international campuses and branches in Dubai, London, United Arab Emirates, and New York.

21 National Research University of Electronic Technology

The National Research University of Electronic Technology is a public university that offers undergraduate and graduate-level education. In total, there are 40 Bachelor’s programs and 42 Master’s programs. It was founded in 1965 and was only officially renamed to its current title in 2011. Annual enrolment is estimated to be 4500 students, and over 600 academic staff are present to handle them. Not only do other universities partner with the National Research University of Electronic Technology, but over 131 corporations also cooperate with it.

22 Russian State University of Physical Culture, Sport and Tourism

Russian State University of Physical Culture, Sport, and Tourism is a leading sports university in Russia. It was established in 1918 and is known for producing over 200 outstanding athletes that have made their marks in prestigious international competitions such as the Olympics. The academic and research programs at the university are conducted by highly qualified and reputable coaches, experts, and scientists to further enhance athlete training and prepare future sports champions and professionals. 

23 Moscow City Teachers’ Training University

Moscow City Teachers’ Training University is a public university in Moscow, Russia. The Ministry of Education established it in 1995 as a pedagogical university, with only 1300 students in its first year. The university currently has over 18,000 students and offers degree programs in the humanities, natural sciences, sports technology, law, business, and language studies.

24 New Economic School

The New Economic School (NES) is a private institution located in Moscow that focuses on teaching and research in the field of economics. It takes pride in having a faculty made up of established professionals from the field, most of them holding a Ph.D. NES aims to train students who will be able to make valuable contributions to the growth of Russian society and business.

25 State University of Management

The State University of Management has been a frontrunner in providing management education in Russia for over 100 years. The university offers practice-oriented management education and training in different specializations such as business informatics, hotel management, and advertising. The State University of Management also conducts intensive research and innovative projects aimed at improving its academic programs and responding to the needs of the country’s economy. 

We know that choosing your dream school in Moscow not an easy task. After all, you need to consider other factors like the cost of your education, school background, and population, as it can be overwhelming on your part.

So, to help you out further in weighing your school options for studying in Moscow , make sure to visit our list of the best public and private universities in Moscow! These articles will surely help you in deciding your next study destination!

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COMMENTS

  1. Wharton Sports Analytics and Business Initiative

    Wharton Sports Analytics and Business Initiative (WSABI) is a student-focused initiative that uses sports analytics as a vehicle to teach fundamental ideas in statistics and data science to fuel the next generation of data-driven leaders and create pathways into the business of sports. WSABI WEBSITE Research Projects

  2. Sports Performance Analytics Specialization

    Specialization - 5 course series. Sports analytics has emerged as a field of research with increasing popularity propelled, in part, by the real-world success illustrated by the best-selling book and motion picture, Moneyball. Analysis of team and player performance data has continued to revolutionize the sports industry on the field, court ...

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    Sports analytics degrees are available at the Bachelor's and Master's level, usually in the form of a track or concentration of a business or sport management degree. There are two key types of sports analytics - those that are on-field and off-field:

  5. Sports Analytics Masters Degree Specialization

    Sports Analytics Specialization This specialization, offered only online, provides technical and leadership training required for key positions in sports team management and analytics. It provides an understanding of how to work in sports management roles in today's data-intensive and data-driven world.

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    Sports Analytics, Graduate Certificate. 100% Online. Apply Now. Departmental Contact A&S Portfolio 4 Staff (Statistics) [email protected] 573-882-6376 146 Middlebush Hall. Director of Graduate Study Guanyu Hu. [email protected] 573-882-6376 146 Middlebush Hall ...

  7. Sports Analytics Degree

    It is about synthesizing collected data into meaningful and actionable information that can impact decisions made in the sports industry - a business with an estimated size of $500 Billion in the United States and $1.5 Trillion globally in 2015 ( Plunkett Research ).

  8. Sloan and Sports

    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 ...

  9. Sports Analytics and Management (MS)

    Sports Analytics and Management (MS) Offered by the Office of Graduate & Professional Studies , the Sports Analytics and Management (MS) is a fully online, 30-credit hour degree program geared toward mid-career professionals. This program equips students with the skills to analyze and measure the impact emerging technologies have on sports ...

  10. Sports Analytics and Statistics Laboratory

    The Sports Analytics and Statistics Laboratory (SASL) is a part of the Department of Statistics in the College and Graduate School of Arts and Sciences at the University of Virginia, and is the home for analytics and statistics within UVA Athletics' Sports Science Institute. SASL serves as a hub for various activities related to education ...

  11. sport performance analysis PhD Projects, Programmes ...

    We have 12 sport performance analysis PhD Projects, Programmes & Scholarships More Details Sport and Exercise Science: Fully Funded Swansea University and Swim Wales PhD Scholarship: The application of advanced data analytics to monitor physical performance metrics to enhance the prediction of success in international swimming

  12. How to PhD in Sports Analytics from scratch

    Luke Bornn was the head of analytics in AS Roma (soccer), then switched to Sacramento Kings (basketball), and later on he co-founded Zelus Analytics, in which they cover a large spectrum of sports ...

  13. Sports Analytics, Graduate Certificate

    Sports Analytics Graduate Certificate Online Course Delivery 12 Total Credits $1,250 Credit Hour 8 Months Minimum Duration Program Details Course Information Admissions Requirements Tuition & Fees Program Overview Decision-making in the companies we work at and in our personal lives is increasingly data-driven.

  14. Wharton Sports Analytics Journal

    As we look forward, I invite any high schooler, undergraduate or graduate student doing research in sports analytics to submit to the journal - we are already accepting submissions for our Spring 2024 edition. We hope you enjoy reading and learning from these exceptional papers as much as we enjoyed reviewing them.

  15. Analytics in sports: There's a stat for that

    Paul Sabin - an ESPN sports data scientist who received his Ph.D. in statistics from Virginia Tech in 2019 - will be sharing his analytical insights at 1 p.m. Wednesday, Feb. 16 as the keynote speaker in "Nerds and Jocks Unite - What's Next in the Sports Analytics Revolution?" part of the Northern Virginia Technology Council Data Science Speaker Series in partnership with Virginia Tech.

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    Sport and Exercise Science: Fully Funded Swansea University and Swim Wales PhD Scholarship: The application of advanced data analytics to monitor physical performance metrics to enhance the prediction of success in international swimming Swansea University School of Engineering and Applied Sciences

  17. Sports Analytics

    Sports analytics in general, and football (soccer in USA) analytics in particular, have evolved in recent years in an amazing way, thanks to automated or semi-automated sensing technologies that provide high-fidelity data streams extracted from every game. Using Big Data provided by Opta, I use data science to uncover the complex patterns ...

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    Sports Analytics PhD jobs Sort by: relevance - date 56 jobs Player Health & Data Analytics Lead the NBA 346 reviews New York, NY 10022 $130,000 - $155,000 a year You must create an Indeed account before continuing to the company website to apply Apply now Location New York, NY 10022 WORK OPTION: In-Office

  19. PhD Sports Analytics Jobs, Employment

    PhD Sports Analytics jobs. Sort by: relevance - date. 57 jobs. Quantitative Sports Researcher - Graduate. Susquehanna International Group. Bala-Cynwyd, PA. Demonstrated experience working on sports analytics projects. Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket).

  20. Irina LYULEVICH

    PhD, Associate Professor ... article is devoted to the development of such direction of modern communication science as the analysis of both intra-sports interactions and "near-sports" space of ...

  21. Korolkov ALEKSEY

    The duration of time intervals where sports results are fixed can vary: from time of one training class, time of a training micro- or mesocycle to duration of sports career. The analysis of time ...

  22. What sports psychology research reveals about athletes' performance

    Sports psychology has, after all, been around a lot longer than computer analytics. Psychological studies of sports appeared as early as the late 19th century. During the 1970s and '80s, sports psychology became a fertile research field. And within the last decade or so, sports psychology research has exploded, as scientists have explored the ...

  23. Two students put together a sports analytics conference just for high

    Sports analytics is all the rage, and two high schoolers want to give their peers a taste of the action. Jayan Gandhi (left) is an 11th grader at Buckingham Browne & Nichols and Jai Malhotra is a ...

  24. Online Master's Degrees for Educators

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  25. 25 Best Universities In Moscow For International Students 2024

    Percentage of International Students. 11%. Total Number of students - 9,000. International Number of students - 950. Pirogov Russian National Research Medical University (RSMU) is a private university specializing in medicine located in Moscow, Russia. It was founded in 1906 as the Higher Medical Course for Women.

  26. Юлия ШУЛЕКИНА

    Юлия ШУЛЕКИНА | Cited by 3 | of Moscow City University, Moscow | Read 5 publications | Contact Юлия ШУЛЕКИНА