MSc in
SPORTS
ANALYTICS
TURN DATA INTO A WINNING EDGE.
A cutting-edge postgraduate program combining data science, machine learning and sports expertise to shape the future of sports analytics.
Fully in English
Full-Time / Part-Time
Scholarships up to 50%
50%
Scholarship opportunities
2
Years – MSc Double Degree
2
Specialized Tracks
€8,000
Tuition Fees
Partnered with:
The Program
Data.
Performance.
Impact.
The MSc in Sports Analytics is designed to develop highly skilled professionals capable of applying advanced analytics in sports environments, from performance optimization to strategic decision-making.
01
Hybrid Format
Hybrid learning with virtual lectures, on-site exams and workshops.
02
Fully in English
An international learning environment with global perspectives.
03
Industry Focused
Practical knowledge for sports, analytics, industry and government.
Program Focus
Built for the Future of Sports.
Sports Science
Understand sports-related performance, movement and competitive environments.
Data Analysis & Analytics
Learn how to interpret, visualize and communicate sports data effectively.
Machine Learning & AI
Apply intelligent models to support decision-making in sports contexts.
Prediction for Betting
Explore predictive modeling and analytical methods for the betting industry.
Operational Research
Apply analytics to Football, Basketball and sports performance data.
Sports Management
Connect analytics with business, management and professional sports strategy.
Choose Your Path
Two Tracks. One Goal.
Students can specialize through one of two tracks, depending on their background, interests and career direction.
Sport Data Science
Advanced analytics, machine learning and data-driven decision-making in sports.
- Data Science & Visualization
- Sports Modelling
- Machine Learning
- Big Data Analytics
- Football & Basketball Analytics
Applied Sports Analytics
Applied analytics, business intelligence and operational sports management.
- Statistical Methods
- Sports Marketing
- Sustainability in Sports
- Applied Sport Economics
- Performance Analysis
International Opportunities
Double Degree Pathways.
The program offers the possibility of double degree collaborations with leading European institutions, combining academic depth with international mobility.
Double Degree with
Digisport
Graduate School in Digital Sport Sciences
- 2 years, 2 MSc degrees
- MSc in Sports Analytics by AUEB
- MSc in Digital Sport Sciences by Digisport
- One year in each university/program
- Also funded by ERASMUS+
Double Degree with
University of Naples
European academic pathway
- 2 years, 2 MSc degrees
- MSc in Sports Analytics by AUEB
- MSc in Statistical Science for Decisions
- One year in each university/program
- Also funded by ERASMUS+
Curriculum
Learn.
Analyze.
Advance.
The curriculum combines theoretical knowledge with practical applications, covering key areas of data science, machine learning and sports performance.
Introduction to R & Python
Machine Learning for Sports
Sports Performance Analysis
Big Data Analytics
Football & Basketball Analytics
Learn
Analyze
Interpret
Visualize
Career Prospects
Where Data Meets Opportunity.
Graduates are equipped to pursue careers across sports, technology and analytics-driven industries.
Sports Data Analyst
Collect and analyse sports data to uncover patterns, evaluate performance and support evidence-based decisions.
Performance Analyst
Assess athlete and team performance using video, statistics and tracking data to identify strengths and areas for improvement.
Data Scientist
Develop predictive models and advanced analytics solutions that turn complex sports data into valuable insights.
Sports Consultant
Advise sports organisations, clubs and businesses on strategy, performance, technology and data-driven decision-making.
Analytics Manager
Lead analytics teams, manage data projects and translate insights into strategies that support organisational goals.
BI Analyst
Create reports, dashboards and data visualisations that help sports organisations monitor performance and make informed business decisions.
FAQ
Frequently Asked Questions.
Everything you need to know about the program, admissions and learning experience.
Still have questions?
Our admissions team is here to help.
Is this a full-time or part-time program?
Either one. Full-time takes two years; part-time spreads the same 120 ECTS over three to four. Lectures are online and scheduled around work, so most part-timers keep their jobs. You choose when you apply.
Do I need a background in coding or mathematics?
No. We start with an intro course in R and Python, so beginners are fine. You just need to be reasonably comfortable with numbers. If you’re coming from sports management or coaching rather than a technical degree, the Applied Sports Analytics track is built for you.
Is the program online or on-campus?
Both. You attend all lectures live online from wherever you are, and come to Athens for exams and workshops. Everything is taught in English.
What are the career opportunities?
Our graduates work as analysts and data scientists in clubs, federations, sports tech companies, betting firms and media. Some move into consulting or lead analytics teams. And the skills travel, the modelling and machine learning you learn here work in any industry, not just sport.
How much does the program cost?
€8,000 in total. Scholarships cover up to half of that, based on your grades, if you graduated from a Greek university with above 8.5, you’re considered automatically.
Ready to make an impact?
Apply Today and Shape the Future of Sports.
Join a new generation of professionals transforming sports through data and analytics.
Program Snapshot
Format
Hybrid
Language
English
Fees
€8,000
Scholarships
Up to 50%