M.Sc. in Computer Science

The international Master’s programme in Computer Science prepares students for becoming leading specialists in public and private organisations and for further studies at the PhD level in Computer Science.

After passing the curriculum the student has acquired the core knowledge in the field of computer science and can use it to analyse and resolve practical problems.

Why study Computer Science at the University of Tartu?

• An opportunity to spend half of your studies at a partner company and follow a personalised study plan.
• Estonia is known as e-Estonia: the first country to vote online and offer e-residency.
• Our alumni run their own successful businesses (Bolt, Nortal and Transferwise) or work for international companies (Facebook, Microsoft and Spotify)
• Study at the Delta Centre, which is one of the most modern centres of digital technology, mathematics and entrepreneurship in the Nordic region.

The curriculum starts with a core module where students acquire basic skills in computer science (24 ECTS). You can choose one of the five specialisation modules (24 ECTS). In addition, the curriculum has a Master’s seminar module (12 ECTS), the electives module (12 ECTS), the practice module (12 ECTS). You can take 6 ECTS of optional courses from any of University’s subject areas. At the end of your studies, you have to submit a Master’s thesis (30 ECTS).

The core module consists of four 6 ECTS courses: Advanced Algorithmics, Discrete Mathematics, Distributed Systems and System Modelling. In the specialisation module you have to choose 24 ECTS worth of courses within one of the five specialisations:

• Distributed Systems
• Programming Languages
• Natural Language Processing
• Cryptography and Theoretical Informatics
• Data mining

The University of Tartu belongs to the top 1.2% of the world's universities.

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After passing the curriculum, the student:

• has acquired core knowledge in the field of computer science and can use it to analyse and resolve practical problems;
• has a deeper understanding of one narrower subfield of computer science and its surrounding disciplines;
• can do independent research on a problem posed by the supervisor and present their results coherently and understandably.