Master in Computer Modelling
Vilnius, Lithuania
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Jul 2027*
EARLIEST START DATE
Sep 2027
STUDY FORMAT
On-Campus
* 1 May for applicants from non-EU/EFTA countries | 1 July for citizens of EU/EFTA
Key Summary
About: The Master in Computer Modelling at Vilnius University trains students in computational modelling, simulation, numerical methods, data analysis and scientific computing. It builds research and analytical skills, professional ethics and report writing, and covers HPC, grid and cloud computing, supercomputing and image and signal processing. Students do hypothesis generation, empirical and applied research and interpret results, preparing them for research and industry roles.
Career Outcomes: Graduates work in universities, research institutes, industry, finance and private companies as computational modelers, simulation engineers, data analysts, HPC specialists, software developers or research scientists. Career opportunities include IT, analytics, scientific computing across sectors.
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.
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.
- Data Management, Modelling and Analysis (25%)
- Modern Technologies (16%)
- Scientific Research (35%)
- Optional Subjects (12.2%)
- 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.
