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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
Advanced studies, 78–100 ECTS

Learning outcomes

After the module, the student can:
- explain bioinformatics methods and their significance in different applications.
- use methods of bioinformatics to solve biomedical research problems.
- compare methods in bioinformatics to select a suitable approach for a specified task.
- apply Python and R programming to implement the necessary analysis.
- plan and manage independent work and report the results.


Numeric 1-5.

Belongs to following modules

Faculty of Medicine and Life Sciences
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Advanced studies

BIOADVC Compulsory advanced studies 68–80 ECTS
BIO4440 Biological data analysis with R, 5 ECTS (1.spr)
BIO4450 High-throughput data analysis, 5 ECTS (1.spr)
BIO4470 Systems biology methods, 5 ECTS (2.aut)
BIO4380 Bioinformatics project, 3–6 ECTS (2.aut)
BTK4030 Thesis Seminar, 2 ECTS
BTK4031 M.Sc. Thesis, 40 ECTS
BIOADVE Elective advanced studies 10–20 ECTS
10 -20 ECTs to be completed. Any course from BIOADVM Methodology studies can be included here.
BIO2085 Bioinformatics tools, 3 ECTS (1.aut)
BIO2450 Advanced bioinformatics tools, 5 ECTS (1.spr)
BIO4395 Bioinformatics work course, 5 ECTS (2.aut)
BIO4460 Journal club, 2 ECTS (2.aut / 2.spr)
BIO4035 Research work, 5–8 ECTS (2.aut / 2.spr)
BIO4230 Phylogenetics, 4 ECTS
BIO4240 Structural bioinformatics, 3–6 ECTS
Faculty of Medicine and Life Sciences