Computer Science MA

Datorzinātnes

Computer Science

In today's fast-paced world, the possibilities of technology are endless. The programme prepares high-level specialists in the field of computer science with an in-depth understanding of the fundamental problems of modern computer science. Develop your analytical, theoretical and practical skills and become an IT specialist in demand in Europe. The programme has been developed together with employers.

About the study programme

DEGREE OBTAINED - Academic Master's degree of Natural Sciences in Computer Science

DURATION OF STUDIES - 2 years

LANGUAGES - English, Latvian

STATE FUNDED STUDY PLACES* - HERE

FEE PAYING STUDY PLACES - 5

FORM OF STUDIES - Full-time

TUITION FEE - HERE

*State-funded study places are open to all citizens of the Republic of Latvia, EU, EEA and Schengen area countries.

Career opportunities

Graduates of the program are high-level computer science specialists, and vacancies for such specialists are always relevant. Career opportunities await in both the private and public sectors.

Study programme tasks

To provide students with the necessary theoretical and practical knowledge in computer science;
To encourage students to learn independently and creatively, as well as to evaluate and apply new achievements in the field of computer science;
To develop students skills of scientific analysis, ability to solve problems independently, facilitate their involvement in solving practical and scientific problems;
To provide the study process with qualified teaching staff and modern training;
To provide students with conditions and environment conducive to creative study process.

Layout of the study programme

Year 1

Theoretical study courses of the field
Semester I

Selected Topics of Mathematics
Digital Image Processing

Semester II

Fundamentals of Remote Sensing
Probability and Statistics in Computer Science
Courses on current issues
Semester I

Methods of Mathematical Modeling

Semester II

Information Systems Project Management
Methods of Interpretation and Classification I
Methods of Interpretation and Classification II
Part of compulsory option
Semester I

Computer Aided Design
International Aspects of the Latvian Language
Introduction in Deep Learning
Information Systems Testing and Cyber Security

Semester II

Crisis Management
Economic Process Analysis
Satellite Navigation Methods
Full-stack Mobile App Developement
Parallel Computing

Year 2

Courses on current issues
Semester 3

Biomedical Signal Processing
Software Design Patterns
Part of compulsory option
Semester III

Information Theory and Cryptography
Research Project Developement in Computer Science
Scientific Research Methodology
Optional courses
Semester III

Courses at the discretion of the student
Master’s thesis
Semester IV

One semester is devoted to developing a master's thesis on a subject chosen by a student.