Academic master's study programme “Computer Science” (ITM)
Completion requirements
Study programme management and contacts
Programme director – doc. Dr.Sc.Comp. Vairis Caune (email: vairis.caune@venta.lv);
- 2ITM course representative: Nils Grīntāls. Course group email: v0603-2023@venta.lv;
Study programme parameters
Study field | Information Technology, Computer Hardware, Electronics, Telecommunications, Computer Management, and Computer Science |
Accreditation till | 26.10.2029. |
Code of the study programme in accordance with the Latvian Education Classification | 45484 |
Study programme cycle and level | Second cycle study programme, LQF and EQF Level 7 |
Type of final examination | Master's thesis |
Degree to be obtained | Academic Master's degree of Natural Sciences in Computer Science |
Study type and form | Full time studies |
Duration of implementation (years) | 2 years |
Language of implementation | Latvian |
Study programme (CP) | 120 CP / ECTS |
Admission requirements | Bachelor of Science or Engineering in computer science, mathematics, information technology, physics, astronomy, electronics or telecommunications |
Aim of the study programme
To prepare specialists in computer science with a broad knowledge in higher mathematics, science and engineering, with particular emphasis on digital signal and image processing, development of software and IT systems, computer vision and machine learning, and to prepare students for independent scientific research work that would enable them to independently perform professionally in promising sectors of the computer science labor market.
Objectives of the study programme:
- to provide students with the conditions and opportunities to acquire skills and competences for their scientific and professional career;
- to motivate and promote students' continuing education needs, including the motivation to proceed to doctoral programs;
- to develop students' scientific analysis skills, pedagogical skills, independent problem-solving skills, and encourage their involvement in scientific problemsolving.
Study programme learning outcomes
Knowledge:- Knows computer science guidelines, machine learning fundamentals and project development cycles.
- Is able to apply their knowledge to formulate and solve problems in academic, scientific and professional environment;
- Is able to independently plan and organize their work and further learning;
- Is able to use documentation and technical standards of other sectors;
- Is able to communicate and cooperate with specialists from other sectors in the development, implementation and management of projects.
- Can discuss complex and systemic aspects of computer science in a reasoned manner with both experts and non-experts;
- Can work effectively both individually and in a group;
- Can perform their work and duties to a high standard while continually looking for and implementing innovations to improve their scientific or professional activities;
- Can demonstrate their knowledge and ethical responsibility for the impact of scientific results or professional activities on the environment and society.
Last modified: Friday, 28 June 2024, 4:41 PM