Sport Analytics Certificate

The Sport Analytics Certificate program provides students and learners with foundational skills and best practices for applied sport data analytics.

Foundational topics will include (a) player and team performance, (b) health and wellness, (c) injury rehabilitation, (d) talent identification and evaluation, (e) coaching strategy, (f) game management, (g) sport business econometrics, (h) sport consumer and audience behavior, and (i) community engagement. The curriculum is designed to align with the current demands and trends in the sport analytics industry. Upon completion, students and learners will gain a foundational understanding of sport analytical concepts and practical skills. Students and learners may continue their education in sport analytics at a higher level if desired.

Students and learners who complete the Sport Analytics Certificate program are prepared to partner with various transdisciplinary personnel to bridge data management, computer science, statistical analysis, emerging technology, and sport acumen to make data-driven strategic decisions.

Campus: Knoxville, Distance Education

Undergraduate Certificate Type: Add-On, Stand-Alone

Credit Hours Required

The Sport Analytics Certificate consists of 12 credit hours of coursework.

Required courses (9 credit hours)

Complete all courses listed below:

DATA 101 - Data Knowledge and Discovery 3 Credit Hours ^*
DATA 202 - Data Management and Visualization 3 Credit Hours
RSM 355 - Analytical Methods in Sport 3 Credit Hours

Elective Course (3 credit hours)

Select one course from the list below:

ADPR 365 - Social Media Strategy 3 Credit Hours
ADPR 415 - Social Media Analytics 3 Credit Hours
¹ BAS 310 - Analytic Models for Decision Optimization 3 Credit Hours
¹ BAS 320 - Regression Modeling 3 Credit Hours
¹ BAS 340 - Experimental Methods and Process Improvement 3 Credit Hours
¹ BAS 454 - Data Visualization for Business Analysts 3 Credit Hours
DATA 203 - Analytical Methods of Data Science 3 Credit Hours ^*
JMED 416 - Audience Analytics 3 Credit Hours
JMED 419 - Communicating with Data 3 Credit Hours
¹ RMM 376 - Customer Experience Analytics 3 Credit Hours
^{1, 2} RMM 425 - Retail Category Management 3 Credit Hours

Footnotes

¹Course has its own set of prerequisites. Please consult the catalog for more information.

² Course has registration restrictions. Please consult the catalog for more information.

* Satisfies Volunteer Core Requirement.

Undergraduates

Graduate Students