| Program start date | Application deadline |
| 2025-09-01 | - |
| 2025-02-01 | - |
Program Overview
Computer Science, MSc
Faculty and Academic Discipline
- Faculty: Informatics
- Academic discipline: Computer Science and Information Technology
Qualification and Starting Date
- Qualification: Computer Scientist
- Starting date: September/February
Language Requirements
- English language proficiency (TOEFL 547 / IELTS 6.0 / oral examination)
Academic Requirements
- Relevant bachelor’s degree in information technology
Duration and ECTS Credits
- Duration: 4 semesters
- ECTS credits: 120
Tuition Fee and Other Fees
- Tuition fee: 7,500 USD/year
- Other fees: application fee 150 USD, entrance procedure fee 350 USD
Short Description
Computer Science, MSc students are able to use and develop the theoretical knowledge acquired in BSc courses at a more advanced level. Using this knowledge as a foundation in the long run, they can work individually or in a team. Their responsibilities include the development, creation, implementation, introduction, operation, and service of IT systems.
Career Prospects
Computer Science, MSc graduates have many more opportunities than computer science BSc graduates in the labor market since they are capable of initiative cooperation with professionals from other fields of science in project or team work. They can also interpret, plan, manage, and control processes in their specialization at a management level. Graduates who are interested in scientific research work can continue their studies in the doctoral school of the faculty, where they can choose a PhD course and acquire academic qualifications.
Main Subjects
| Main subjects | |
|---|---|
| 1 | Machine Learning Basics, Algorithms, Cryptography, Optimization Algorithms, Information Systems, Data Mining, Computer Graphics, Operation Research, Advanced Inference Methods, Logical Algorithms, Advanced Software Architecture Patterns, Advanced XML Technologies, NoSQL Databases, Sensor Networks and the Internet of Things, Parallel and High Performance Computing |
| 2 | Geometric Modelling, Coding Theory, Theory of Neural Networks, Models of Computation, Declarative Programming, Visualization and Visual Analytics, Data Science lab, Advanced Machine Learning, Text and Web Mining, Information Systems in Practice, Advanced Software Engineering, Thesis |
Internship and Practice
Students should complete a 6-week internship either at the university working on research projects or at a multinational or local company.
Research Areas
Successful students possess appropriate knowledge enabling them to use their skills in an innovative way in order to carry out research and development tasks in fields such as:
- formatting complex IT problems, examining the theoretical and practical background for their solution;
- completing tasks connected with planning, developing, operating and managing related to the operation of complex software systems;
- assessing the business, marketing and innovative values of planned or implemented IT systems, validating software products;
- planning and implementing specific tasks in quality management.
