Biosciences: Molecular Systems Biology
The Master’s Degree Programme in Biosciences: Molecular Systems Biology at the University of Turku offers you extensive training in modern molecular biology and education focused on systems biology (omics, gene/protein structure-function relationships) with a special focus on molecular interaction networks.
Quick Facts
| Full-time Duration: |
2 years |
| Starting in: |
late August |
| Tuition Fee: |
Free for citizens of EU/EEA countries or Switzerland, for citizens of non-EU/EEA countries €12,000/academic year |
| Location: |
Turku, Finland |
You will acquire scientific and analytical skills, expertise in present theories and up-to-date technologies, as well as practical skills including teamwork and interpersonal skills; all in an international environment. The skills and knowledge obtained will pave the way for future career paths in academia or industry for you.
This programme is tightly connected to the progress in omics technologies that help us enhance our understanding of cell functions and develop more holistic view of biological processes. The focus of this programme lies on the molecular interactions comprising cell physiology, signalling pathways, and regulatory links.
The Molecular Systems Biology specialisation track is a part of the Master’s Degree Programme in Biosciences. The other specialisation track in this programme is Evolutionary Biology.
Programme Structure
The Master’s degree in Bioscience is a two-year programme amounting to 120 ECTS. Both tracks follow their own curriculum of courses. The degree is comprised of:
- common courses that provide you with the essential knowledge needed as well as transferrable skills including mandatory language studies;
- track-specific major subject studies that will provide state-of-the-art theories and practical skills relevant to the field;
- selectable studies that expand your knowledge in specific thematic areas and special themes of your choice;
- master’s thesis where you will apply your newly acquired knowledge.
Courses will contain a mix of teaching methods, including lectures, exercises, laboratory and computer practicals, student-driven presentations as well as completion of an independent research project (MSc Thesis). Numerical analysis of biological data including bioinformatics and other statistical analyses will be part of the curriculum.
