Vilnius, Lithuania
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
01 Sep 2025
TUITION FEES
EUR 5,538 / per year **
STUDY FORMAT
On-Campus
* 1 may for applicants from non-EU/EFTA countries | 1 july for citizens of EU/EFTA
** application fee EUR 100
Key Summary
Introduction
The Computer Modelling program ensures students learn to use computer modelling technologies and to participate in their development, to participate in the generation and analysis of hypotheses and ideas, scientific, empirical and applied research, and the interpretation of results, to develop research and analytical skills and a professional ethics code, and to learn how to generate reports.
Why choose this programme?
- The specific character of the programme is focused on making constant improvements of various kinds, such as by adding courses on cloud computing, images and signal processing, web services, etc.
- Students will also gain skills in research work, including HPC (high-performance computing), grid/cloud computing and using a supercomputer.
Program Outcome
- Data Management, Modelling and Analysis (25%)
- Modern Technologies (16%)
- Scientific Research (35%)
- Optional Subjects (12.2%)
Career Opportunities
- Our graduates obtain positions in enterprises in the national or private sector where applied practical or scientific computing is undertaken, or where problems in physical sciences are solved using mathematical or computer models that benefit from modern technologies.
- The graduates may be employed at universities, research and computer design institutions, industrial enterprises, private, banking and insurance sectors, or in other companies where critical thinking, research and analytical skills, usage of computation and IT, and foreign language abilities are required.
Gallery
Curriculum
Scope of studies: 90 ECTS credits
1st Semester
Compulsory Courses
- Spatial Databases
- Methods of Cryptography
- Methods of Nonlinear Modelling
- Cyber Security Technologies
Elective Courses*
- Programming in Cloud Computing
- Computational Geometry Algorithms
- Digital Forensics
2nd Semester
Compulsory Courses
- Data Analysis
- Deep Learning
- Scientific Research Work
- Signal Analysis and Processing
Elective Courses*
- Multidimensional Data Visualization
- Information Security Management
3rd Semester
Compulsory Courses
- Master Thesis
*The supply of elective courses might vary depending on availability.