Awarded academic degree: Master of Natural Sciences in Computer Science
Complete study program volume CP (ECTS): 120 or 90
Possible forms of education and study languages:
- Full-time – 2 years / 1.5 years (latvian, english)
- Part-time – 2.5 years / 2 years (latvian, english)
120 CP (ECTS)
Bachelor’s degree in Natural Sciences in Computer Science, Informatics, or Mathematics, or bachelor’s degree in Engineering in Electrical Engineering, Electronics, Information Technology with a mastered programme of at least 180 CP (ECTS), or first-cycle professional higher education in the relevant educational fields.
First-cycle professional higher education or bachelor’s degree in Economics, Management Science, Logistics, Finance, Business and equivalent education, with at least 1 year of professional experience in the field of Information Technology, entrance exam.
90 CP (ECTS)
First-cycle professional higher education or a bachelor’s degree in Computer Science, Informatics, or Mathematics, or a bachelor’s degree in Engineering in Electrical Engineering, Electronics, Information Technology, if at least 6 CP (ECTS) of programming and at least 4 CP (ECTS) of Database Technology have been acquired, and if the bachelor’s degree has been obtained for at least four years long studies at least 240 CP (ECTS)
! Admission with previous non-core education is considered on an individual basis after consultation with the programme director.
“Computing is presented in all aspects of the society, and the demand is insatiable. Emerging technologies are changing our life so quickly that there are many opportunities available for specialists in this area”
Director of the Programme
wants to develop new technologies and innovative solutions of tomorrow
curious about emerging technologies in Artificial Intelligence, Big Data and Software Engineering
allways looking for the best solutions to solve complex problems
likes to overcome challenges and complex problems with IT solutions
the expert in emerging technologies to solve complex problems in any area of human life, by leading and developing advanced IT solutions
realise himself as qualified professional in field of Artificial Intelligence, Big Data, Software Engineering
develop and apply innovative technologies for sorting out society problems, to support digital transformation of the world
deal with complex IT challenges and succesfully overcome them by applying deep knowledge in computer science
lead IT solutions development in different areas
About the Programme
Programme is designed for those who aim to lead and develop innovative IT solutions and become experts in cutting-edge technology. Graduates of this programme can also establish themselves as qualified professionals in the fields of software engineering and modern IT operations. The programme includes advanced aspects of classical computer science and emerging technologies, thereof, in preparing professionals for a successful career.The Master’s study programme trains students by deepening their knowledge and practical skills in the rapidly developing computer science technologies. The programme includes basic aspects of computer sciences and practical application thereof in preparing professionals for a successful career in research and development. The study programme provides a unique set of courses led by the best local and international professors and specialists. Joining the programme allows you to gain international experience from professors from the University of Deusto (Spain), University of Electro-Communications (Tokyo), etc. After successful completion of the study programme, students will be able to work in the IT field using the latest computer science technologies, manage IT project development groups as well as develop data products and IT solutions based on artificial.
Short video about the programme
Blended mode
Study mode | Foreseen schedule (Day/Time) | Foreseen efforts (per week) |
Theoretical classes: Remote \ Synchronous mode | Tuesday-Thursday (18.15-21.30), | 2-4 classes (4-8 ac.h) |
Tutorials, practical classes, seminars, discussions, groupwork: Face-to-Face mode | Friday evenings (18.15-21.30) + Saturdays (8.45-15.45), weekly | 4-6 classes (8-12 ac.h) |
Independent individual or group studies | Within a semester | 20 ac.h in average |
Tuition Fee
| Full time | Part time | Distance learning | |
|---|---|---|---|
| Duration | 1.5 years | 2 years | |
| Tuition fee EUR/year | 4500 EUR | 4500 EUR | |
| Tuition fee for applicants from 🇱🇻 🇱🇹 🇪🇪 🇺🇦 🇪🇺 and EEA, EUR/year | 2700 EUR | 2700 EUR |
Structure of the programme
Block A – Mandatory Courses
| BigData: from Data to Product | 3 |
| BigData: LifeCycle | 3 |
| Cybersecurity and data protection | 6 |
| Data Mining | 6 |
| Intelligent Systems-1 | 3 |
| Modern Database Technologies | 9 |
| Modern Software Engineering | 6 |
| Research Methodology | 3 |
| Research Seminar I | 3 |
| Research Seminar II | 3 |
| Master Thesis | 30 |
Block B – Specialization Courses
| Computer Vision and Image Processing | 6 |
| Enterprise Information Systems | 6 |
| Intelligent Systems-2 | 6 |
| Quality Models of Software and Information Systems (QM SIS) | 6 |
| Requirements management | 6 |
| Theory of System and System Analysis | 6 |
| Labour Safety, Civil Defence and Environment Protection | 3 |
| Latvian Language | 3 |
Block C – Elective Courses
| Subject of Free Choice | 6 |
Study programme is supported by:
Alumni testimonials
