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Master of Science in Sport Analytics

Learn skills in data analysis, statistical modeling, and technology application to prepare for a career in the sports industry.

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Master of Science in Sport Analytics

Master of Science in Sport Analytics student recounts sport news

About this Program

The Master of Science in Sport Analytics is an online program that integrates academic, practical, and research skills, enabling students to master sport business analytics with a focus on data acquisition, statistical modeling, predictive analytics, big data, and visualization techniques for effective application in the field.

The MS in Sport Analytics provides two online options:

Sport Business
Sport Performance

Through an accelerated 8-week courses, students can complete the online program within one year.

Graduates of the online sport analytics degree are prepared for analytical roles in collegiate and professional sports, as well as various sport-related industries like sports marketing, media, sports betting, sport science, and human performance.

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Program Information

Program Type

Master's Program

Area of Study

Health and Social Services

School

School of Applied Sciences

Duration

1 year

Degree

Master of Sports Analytics

Program Location

Online

Emphases

Sport Performance;
Sport Business;
Sport Business and Performance

Required Credit Hours

Program Requirements and Application Process

Find information on the program requirements for the M.S. in Sport Analytics and application process below. For more information see the Graduate Online Catalog.

Course Requirements

The sports analytics masters is administered through remote online instruction using distance-learning technologies and the Blackboard learning management system.

The 30 or 36 credit hour curriculum is composed of 24 credit hours of core coursework and 6 or 12 credit hours of emphasis area coursework.
All classes are eight weeks, and each class is 3 credit hours. The program is designed to be completed in five eight‐week sessions/terms over three semesters (fall, spring, and summer).

CORE COURSES (24 credit hours)

SA 511: Applied Statistics*
SA 601: Measurement and Evaluation in Sport
SA 602: Predictive Analytics in Sport
SA 603: Big Data Analytics and Data Management
SA 604: Quantitative and Qualitative Research Methods
SA 605: Communication and Data Visualization in Sport
SA 613: Machine Learning in Sport
SA 693: Degree Culmination: Sport Analytics Capstone**

SPORT BUSINESS EMPHASIS (6 credit hours)

SA 611: Sport Business
SA 612: Sport Economic Analytics

SPORT PERFORMANCE EMPHASIS (6 credit hours)

SA 621: Data Analytics in Strength and Conditioning
SA 622: Physiological Aspects of Sport Performance and Monitoring

SPORT BUSINESS AND PERFORMANCE EMPHASIS (12 credit hours)

SA 611: Sport Business
SA 612: Sport Economic Analytics
SA 621: Data Analytics in Strength and Conditioning
SA 622: Physiological Aspects of Sport Performance and Monitoring

All students must take the SA 511: Applied Statistics course at the beginning of their program.

Before students can take the SA 693: Sport Analytics Capstone course, they must complete 24 hours of coursework

The final format and the requirements of the project are completed in direct consultation with the student’s faculty adviser or a member of the teaching faculty. Students must complete this course with a grade of B‐ or above.

Admission Requirements

Students that want to apply to the sport analytics degree can submit applications on an rolling basis, but the final deadline is one month before the start of the desired term.

Applying students must submit the following for consideration:

Completed application to the University of Mississippi Graduate School
Evidence of an awarded baccalaureate degree from an accredited college or university
Academic record with cumulative grade point average of at least a 3.0 or equivalent grade point average on a 4.0 scale in the last 60 hours of undergraduate coursework
GRE taken within 5 years of applying for the graduate program with scores equal to or greater than the following
- 146 on the verbal
- 140 on the quantitative
- 3.0 on writing sections of the test.

Resume or curriculum vitae
A 400‐ to 500‐word statement of interest describing interest in pursuing the MSSA degree, as well as the student's desired emphasis, future career goals, and why the applicant believes they will be successful in graduate school.

The GRE requirement is waived for applicants who have:

At least 1 year of post/secondary professional work experience related to sport performance, business, and/or analytics
A letter of recommendation

Sample Degree Progression

Students must take the SA 511: Applied Statistics course at the beginning of their program.

Courses will be offered in eight‐week terms on an annual rotational basis. Since there are no prerequisites for any course, learners can enter the program at any one of the five terms throughout the academic calendar year.

Part‐time progression is an option; however, all learners will be encouraged to complete the degree within two years of enrollment.

Fall First Term

SA 511*
SA 604
SA 605

Fall Second Term

SA 601
SA 612 OR SA 623

Spring First Term

SA 602
SA 611 OR 622

Spring Second Term

SA 603
SA 693**
SA 613 OR 621

Summer Term

SA 693**

To accommodate for rolling admission, *SA 511 will be offered every semester, and **SA 693 will be made available during any semester should a student need it outside of the summer term.