MSc in Sports Analytics

EXPRESSION OF INTEREST FOR THE 2026-27 ACADEMIC YEAR

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Studies Objective

The postgraduate program of MSc in Sports Analytics, in collaboration with the School of Physical Education and Sports Science of the National and Kapodistrian University of Athens, aims at producing highly educated professionals in sports-related activities to work in industry and government.

The Program focuses on: 

• Sports Science 
• Data Analysis/Analytics 
• Machine learning and AI for Sports
• Prediction for Betting industry
• Operational research 
• Business/Management perspective of Analytics in Professional Sports

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Features of the Program

• Fees: 8,000€.
• Scholarship opportunities: Up to 50% for students with a grade above 8,5 (for Greek Universities).
• Hybrid program
  • All lectures are offered Virtually ​
  • On-site exams
  • On-site live optional workshops 
• The program is fully in English.
• The program also offers a series of seminars, workshops and short courses.
• Coming Soon: Two Double Degrees with Digisport Graduate School and University of Naples - see here for more details 

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​LIST OF COURSES 

The program offers TWO tracks: ​​

• Track 1 – Sport Data Science​

• Track 2 – Applied Sports Analytics 

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Sports Data Science

Course List

(TP 1-3 for the Full Time Program, 1-6 for the Part Time Program)

(FT= Full Time Program, PT= Part Time Program, TP= Teaching Period)

COMPULSORY  (5 ECTS)

• Introduction to R and Python (TP 1 FT, 1 PT)
• Data Analysis (TP 1 FT, 1 PT)
• Visualization and Data Science-Story Telling (TP 1 FT, 4 PT)
• Sports Performance Analysis (TP 1 FT, 4 PT)
• Sports Modelling (TP 2 FT, 2 PT)
• Big Data Analytics and Management (TP 2 FT, 2 PT)
• Applied Sport Economics (TP 2 FT, 5 PT)
• Machine Learning (TP 2 FT, 5 PT)
• Basketball Data Science (TP 3 FT, 3 PT)
• Football Analytics (TP 3 FT, 3 PT)

ELECTIVE COURSES (2,5 ECTS)

Selection of a total of 10 ECTS from the following elective courses:

• Sports Marketing (*5 ECTS - TP 2 FT, 5 PT)
• Anthology of Sports (TP 3 FT, 6 PT)
• Operational research and scheduling of athletic events (TP 3 FT, 6 PT)
• Coaching by numbers (TP 3 FT, 6 PT)
• Sports Law (TP 3 FT, 6 PT)
• Sports Management (TP 3 FT, 6 PT)
• Olympic Event Organization (TP 3 FT, 6 PT)
• Biomechanics of human movement (TP 3 FT, 6 PT)
• Integrated Exercise Physiology (TP 3 FT, 6 PT)
• Special Topics of Sports Analytics (TP 1-3 FT, 1-6 PT)
• Additional courses offered in the 2nd track (Applied Sports Analytics), but only with the approval of the Program Committee, following an application.

Applied Sports Analytics

COMPULSORY (5 ECTS)

• Introduction to Mathematics for Sports Analytics (*0 ECTS Introductory Course - TP 1 FT, 1 PT)
• Introduction to R and Python (TP 1 FT, 1 PT)
• Introduction to Statistical Methods (TP 1 FT, 1 PT)
• Visualization and Data Science-Story Telling (TP 1 FT, 4 PT)
• Sports Performance Analysis (TP 1 FT, 4 PT)
• Data Analysis (TP 2 FT, 2 PT)
• Sports Marketing (TP 2 FT, 2 PT)
• Applied Sport Economics (TP 2 FT, 5 PT)
• Sustainability in Sports (TP 2 FT, 5 PT)
• Basketball Data Science (TP 3 FT, 3 PT)
• Football Analytics (TP 3 FT, 3 PT)

Selection of a total of 10 ECTS from the following elective courses:

• Sports Modelling (5 ECTS, TP 2 FT, 5 PT)
• Machine Learning (5 ECTS, TP 2 FT, 2/5 PT)
• Big Data Analytics and Management (5 ECTS, TP 2 FT, 2/5 PT)
• Anthology of Sports (2,5 ECTS, TP 3 FT, 6 PT)
• Operational research and scheduling of athletic events (2,5 ECTS, TP 3 FT, 6 PT)
• Coaching by numbers (2,5 ECTS, TP 3 FT, 6 PT)
• Sports Law (2,5 ECTS, TP 3 FT, 6 PT)
• Sports Management (2,5 ECTS, TP 3 FT, 6 PT)
• Olympic Event Organization (2,5 ECTS, TP 3 FT, 6 PT)
• Biomechanics of human movement (2,5 ECTS, TP 3 FT, 6 PT)
• Integrated Exercise Physiology (2,5 ECTS, TP 3 FT, 6 PT)
• Special Topics of Sports Analytics (2,5 ECTS, TP 1-3 FT, 1-6 PT)

DISSERTATION THESIS (30 ECTS)​

Official Website

ADDITIONAL DOCUMENTS

• Study Guide
• All Courses Outlines
• Teaching Staff
• Program regulation
• ​​Complaint Form​
• Quality Assurance Policy
• Detailed Guide for Connecting to TEAMS (for Students)
• ​Internship Regulation Guide
• Assignments and Thesis Regulation Guide
• ​ERASMUS Mobility Regulation Guide
• Digital Services for students
• Policy and Programs for the Support and Development