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Duration
2 Years
Language
English
Program Description
The Master’s programme in Bioinformatics is designed to train highly qualified specialists capable of integrating knowledge from computer science and life sciences. Students learn to analyse biological data using computational methods, develop software tools, and solve complex biological problems using bioinformatics, machine learning, and artificial intelligence approaches.
The programme is delivered in English by the Vilnius University Life Sciences Center in collaboration with the Vilnius University Faculty of Mathematics and Informatics. As Lithuania’s life sciences sector continues to expand rapidly, the demand for highly skilled bioinformatics professionals is steadily increasing.
The programme is delivered in English by the Vilnius University Life Sciences Center in collaboration with the Vilnius University Faculty of Mathematics and Informatics. As Lithuania’s life sciences sector continues to expand rapidly, the demand for highly skilled bioinformatics professionals is steadily increasing.
Entry Requirements
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Why choose this program?
- The first and only Bioinformatics Master’s programme in Lithuania
- Three research placements in different research groups or companies
- More than 30 elective courses in life sciences and computer science
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Learning Outcomes
- Apply bioinformatics methods to solve biological problems and analyse biological processes.
- Analyse and interpret large-scale biological datasets using modern bioinformatics approaches.
- Develop innovative algorithms and software tools for biological data analysis.
- Apply machine learning, artificial intelligence, and statistical methods in life sciences research.
- Integrate knowledge from computer science and life sciences to address complex interdisciplinary challenges.
- Independently plan, organise, and critically evaluate scientific research in a responsible and reproducible manner.
- Communicate scientific results effectively to both specialist and non-specialist audiences.
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Curriculum
Jobs - Careers
- Biotechnologist
- Health Data Analyst
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