Programme structure

Preliminary course schedule for 2018/2019 (bottom of page)

Courses 2018-2019

The Master´s programme comprises of 120 credits and it is possible to complete the degree in two years, in accordance with an approved personal study plan. The degree includes

85 cr of advanced courses, including

  • shared courses within the programme
  • study track specific courses within the programme
  • LSI30003 Master’s thesis, 30 cr
  • LSI 30002 Master´s thesis seminar which includes study orientation 5 cr

35 cr of other courses from your own or other programmes,

The programme gives introductory courses from all six study tracks and you should choose at least three of these courses. You should be ready to choose your own study track after studying one or two study periods. Study tracks provide several alternative courses. Most courses comprise 5 credits and most courses will be in study programme every other year; the introductory course will be given annually.

  • Applied bioinformatics: 

Contact person: Ville Mustonen
LSI31002 Modelling and analysis in bioinformatics
LSI32001 Introduction to Applied Bioinformatics
GMB-106 Protein structure, function and folding
GMB-204 Population genetics and genomics
GMB-205 Evolutionary genomic data analysis
GMB-206 Gene mapping
Other courses from the MSc programme in Genetics and Molecular Biosciences or from other study tracks in Life Science Informatics MSc programme.

  • Algorithmic bioinformatics

Contact person: Veli Mäkinen
CSM12109 Algorithms in molecular biology
CSM12108 Biological sequence analysis
LSI31001 Algorithms for bioinformatics
Research seminar in algorithmic bioinformatics
at least 10 cr courses from the Msc programme of Computer science, study track algorithms:
DATA11002 Introduction to machine Learning
CSM12102 String processing algorithms
Other suitable algorithm courses as agreed in FM-HOPS
Courses from other study tracks in Life Science Informatics MSc programme

  • Biomathematics

Contact person: Mats Gyllenberg
MAST31501 Mathematical modelling
Introduction to mathematical biology
Adaptive dynamics
Evolution and the theory of games
Stochastic population models
Spatial models in ecology and evolution
LSI33003 Mathematics of infectious diseases

  • Biostatistics and bioinformatics

Contact person: Sirkka-Liisa Varvio
LSI34001 Topics in biostatistics and bioinformatics
Phylogenetic inference and data analysis
Statistical population genetics
Modelling molecular evolution
Genome-wide association studies
Courses from other study tracks in Life Science Informatics MSc programme, especially from the study track Algorithmic bioinformatics
Courses from the MSc programme Mathematics and statistics, especially:
Computational statistics
Bayesian data-analysis
High dimensional statistics
Spatial statistics

  • Eco-evolutionary informatics

Contact person: Jarno Vanhatalo
Modelling ecology and evolution (introductory course)
At least 10 credits from the MSc programme Mathematics and statistics courses and/or Biomathematics Life Science Infromatics study track courses:
Bayesian inference in biosciences
Spatial modelling and Bayesian statistics
Introduction to mathematical biology
Mathematical modelling
Other courses from Biomathematics study track and /or other Msc programmes:
Spatial models in ecology and evolution
Mathematics of infectious diseases
Stochastic population models
Population assessment for environmental management
Project work in eco-evolutionary informatics
Courses from the MSc programme Ecology and evolutionary biology, as agreed in the personal-HOPS

  • Systems biology and medicine

Contact person: Sampsa Hautaniemi
TMED-917 Introduction to systems biology
LSI36001 Clinical data mining
Courses from other Life Science Informatics study tracks and other MSc programmes, especially from the Computer science programme and Translational Medicine programme