Study program

Master’s degree program in Data Science is a two-year program with 90 ECTS study credits where an academic part (study courses) consists of 69 credits, and an internship & diploma work has 21 credits.

The courses are split into the next topics:

  • mathematical foundations,
  • data science and machine learning,
  • programming and software engineering,
  • soft skills, worldview, project management, entrepreneurship.

There are mandatory courses (45 ECTS overall) and elective ones (24 ECTS). The master program courses with the respective number of ECTS and a study term are provided below.

Mathematical Foundations

Mandatory courses

Data Analytics and Machine Learning

Mandatory courses

Elective courses (one should pick the courses of 12 ECTS overall)

Programming, Software and Data Engineering, Business Analytics Foundations

Elective courses, 1st term (pick one course)

Elective courses, 2nd term (pick courses of 6 ECTS)

Soft skills, Worldview, Entrepreneurship

Mandatory courses

Elective courses (pick one course)

Essential aspects of the course studies

  • A study year and the terms have the following schedule:
    • 1st term: from September to December of the first study year
    • 2nd term: from February to June of the first study year
    • 3rd term: from September to December of the second study year
    • an internship/diploma work: from January to May of the second study year
  • Courses are interconnected. It means that a course could be a prerequisite for another course. Thus, taking a course is impossible if one doesn’t take the prerequisites. The necessary information is available on a course page.
  • A primary programming language used in the courses is Python. Also, some courses use C/C++, R.
  • The master’s program uses a project-based approach for the studies. It means that many courses are graded based on a final project.
  • 90% of the courses are video-recorded. The learning management system gives students access to all course materials (lectures’ slides, assignments, additional readings, and recorded video lectures).
  • The Slack service with an academic subscription is used for communication between the students and faculties.
  • Although the program’s academic part is one-and-half-a-year, students may extend their studies for up to three or four years to balance the overall study load.
  • For an elective course to be run, at least six people should sign up for the course.
  • For more information, please look at the FAQ page and contact the program administrators via [email protected].

 

  • Useful information

    Admission 2023

    • Exam registration by May 31
    • Applicant’s e-cabinet by July 1
    • SSE: 26.06 – 18.07
    • Professional exam: 26.07 or 31.07-14.08
    • Exam results: August 25
    • Enrollment in the program: September 1

    About Faculty

    Contacts