Courses

    The courses of each academic year (two teaching semesters) are organized into three teaching periods (TPs), each consisting of 10 teaching weeks, followed by examination periods whose duration is determined by the Special Committee of the Program.

    Therefore, the two teaching semesters of the full-time program are divided into three TPs, while the four teaching semesters of the part-time program are divided into six TPs. In both full-time and part-time programs, examinations are held three times per academic year, during the following periods: December/January, March/April, and June/July.

    The schedule of taught and examined courses for the academic year 2026–2027 is specified in detail in Tables 1 and 2 below.

    Table 1: Courses of Specialization 1 (Sports Data Science)

    Courses of Specialization 1: Sports Data Science

    ECTS

    Remote

    Full Time

    Part Time
    1. Introduction to R and Python

    5

    >70%

    1

    1
    1. Data Analysis

    5

    >70%

    1

    1
    1. Visualization and Data Science-Story Telling

    5

    >70%

    1

    4
    1. Sports Performance Analysis

    5

    >70%

    1

    4
    1. Sports Modelling

    5

    >70%

    2

    2
    1. Big Data Analytics and Management

    5

    >70%

    2

    2
    1. Applied Sport Economics

    5

    >70%

    2

    5
    1. Machine Learning 

    5

    >70%

    2

    5
    1. Basketball Data Science

    5

    >70%

    3

    3
    1. Football Analytics

    5

    >70%

    3

    3
    1. Selection of 10 ECTS by the following courses

    10

    >70%

    2/3

    5/6

    Elective Courses

    ECTS

    Remote

    Full Time

    Part Time
    1. Sports Marketing

    5

    >70%

    2

    5
    1. Anthology of Sports

    2,5

    >70%

    3

    6
    1. Operational research and scheduling of athletic events

    2,5

    >70%

    3

    6
    1. Coaching by numbers

    2,5

    >70%

    3

    6
    1. Sports Law

    2,5

    >70%

    3

    6
    1. Sports Management

    2,5

    >70%

    3

    6
    1. Olympic Event Organization

    2,5

    >70%

    3

    6
    1. Biomechanics of human movement

    2,5

    >70%

    3

    6
    1. Integrated Exercise Physiology

    2,5

    >70%

    3

    6
    1. Special Topics of Sports Analytics

    2,5

    >70%

    1-6

    1-6
    1. Additional courses offered in the 2nd specialization (Applied Sports Analytics), subject to approval by the Special Committee of the Program following an application by the interested student.

    5

    >70%

    1-6

    1-6

    Table 2: Courses of Specialization 2 (Applied Sports Analytics)

    Courses of Specialization 2: Applied Sports Analytics

    ECTS

    Remote

    Full Time

    Part Time

    Introduction to Mathematics for Sports Analytics

    0

    >70%

    0

    0
    1. Introduction to R and Python

    5

    >70%

    1

    1
    1. Introduction to Statistical Methods

    >70%

    1

    1
    1. Visualization and Data Science-Story Telling

    5

    >70%

    1

    4
    1. Sports Performance Analysis

    5

    >70%

    1

    4
    1. Data Analysis

    5

    >70%

    2

    2
    1. Sports Marketing

    5

    >70%

    2

    2
    1. Applied Sport Economics

    5

    >70%

    2

    5
    1. Sustainability in Sports

    5

    >70%

    2

    5
    1. Basketball Data Science

    5

    >70%

    3

    3
    1. Football Analytics

    5

    >70%

    3

    3
    1. Selection of 10 ECTS by the following courses

    10

    2/3

    5/6

    Elective Courses

    ECTS

    Remote

    Full Time

    Part Time
    1. Sports Modelling

    5

    >70%

    2

    5
    1. Machine Learning

    5

    >70%

    2

    2/5
    1. Big Data Analytics and Management

    5

    >70%

    2

    2/5
    1. Anthology of Sports

    2,5

    >70%

    3

    6
    1. Operational research and scheduling of athletic events

    2,5

    >70%

    3

    6
    1. Coaching by numbers

    2,5

    >70%

    3

    6
    1. Sports Law

    2,5

    >70%

    3

    6
    1. Sports Management

    2,5

    >70%

    3

    6
    1. Olympic Event Organization

    2,5

    >70%

    3

    6
    1. Biomechanics of human movement

    2,5

    >70%

    3

    6
    1. Integrated Exercise Physiology

    2,5

    >70%

    3

    6
    1. Special Topics of Sports Analytics

    2,5

    >70%

    1-6

    1-6

    For students of the second specialization (Applied Sports Analytics) who, following evaluation by the Special Committee of the Program, are found to lack sufficient mathematical background, a preparatory course titled “Introduction to Mathematics for Sports Analytics” will be offered.

    This course does not award ECTS credits, has a duration of 15 teaching hours, will be listed in the Diploma Supplement, and is a prerequisite (with a passing grade ≥5) for the award of the degree.