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Arkistoitu opetussuunnitelma 2015–2017
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Master´s Degree Programme in Bioinformatics

Learning outcomes

After completing the programme, the student can:
- explain the methodological basis of bioinformatics, computational biology, and systems biology.
- explain bioinformatics methods and their significance in different applications.
- perform analyses of various biological data types using common programming languages and data analysis tools
- interpret the results of the analysis in their biological context.


The MSc programme in bioinformatics is taught entirely in English, and it is two years in duration, with an extent of 120 ECTS credits. The curriculum contains a module of methodological studies including computer science, mathematics and biology, an advanced module with in-depth focus on the methods and applications of bioinformatics. The advanced module contains the MSc thesis of 40 ECTS.

Bioinformatics applies methods of computer science, artificial intelligence, mathematics, and statistics to biological data from e.g. DNA, RNA or proteins. Bioinformatics is needed in modern biotechnological, biological and biomedical research and development, especially when dealing with large data sets produced by current high-throughput measurement techniques.

The degree provides you with skills you can utilize as a bioinformatician or biological data analyst and qualifies you to work in industry or continue your studies at the doctoral level.

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Master´s Degree Programme in Bioinformatics

General studies 4–22 ECTS
4–22 ECTS
The general studies courses are determined individually based on the student's educational background.
BIOGENC Compulsory general studies 4–12 ECTS
4–12 ECTS
Selected in accordance with the personal study plan
BIO0020 Orientation, 2 ECTS (1.aut)
KKENMP3 Scientific Writing, 5 ECTS
Advanced studies 78–100 ECTS
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)
BIO4030 M.Sc. Thesis seminar, 2 ECTS (2.aut / 2.spr)
BIO4031 M.Sc. Thesis, 40 ECTS (2.aut / 2.spr)
BIOADVE Elective advanced studies 10–20 ECTS
10–20 ECTS
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
BIOOPT Optional studies 20–42 ECTS
20–42 ECTS
Optional studies can include any appropriateMaster's-level courses. The following list provides examples of available courses.