Programme structure

Courses 2018-2019

LSI_kuvaa

 

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

At least 85 cr of advanced studies, including

  • shared intorductory courses within the programme, 15 cr
  • study track specific courses within the programme, 35 cr
    • these courses are both from a given study track (student´s own study track) and from other study tracks and also from other programmes, as approved in personal study plans
  • LSI30003 Master’s thesis, 30 cr
  • LSI 30002 Master´s thesis seminar which includes study orientation 5 cr

Other studies, 0-35 cr, for example bachelor´s level courses

Courses given by study tracks

 

  • Applied bioinformatics: 

Contact person: Ville Mustonen
LSI31002 Modelling and analysis in bioinformatics
LSI31003 Machine learning in molecular biology
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
Courses from other study tracks in Life Science Informatics MSc programme.
Courses from the MSc programme in Genetics and Molecular Biosciences.

  • Algorithmic bioinformatics

Contact person: Veli Mäkinen
At least 10 cr courses from the following
   CSM12109 Algorithms in molecular biology
   CSM12108 Biological sequence analysis
   LSI31001 Algorithms for bioinformatics
   LSI31002 Modelling and analysis in bioinformatics
   LSI31003 Machine Learning in Molecular Biology
Seminar or project in algorithmic bioinformatics, 5 cr, e.g.:
   CSM12112 Seminar on Discrete Algorithms
   LSI31005 Intensive course on genome rearrangements
   LSI31004 Research seminar in fossil data analysis
at least 10 cr courses from the Msc programme of Computer science, study track algorithms, e.g.:
   CSM12101 Design and Analysis of Algorithms
   DATA11002 Introduction to machine Learning
   CSM12102 String processing algorithms
   CSM12103 Data Compression Techniques

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
LSI33001 Introduction to mathematical biology
MAST31505 Adaptive dynamics
LSI33002 Evolution and the theory of games
MAST31504 Stochastic population models
MAST31503 Spatial models in ecology and evolution
LSI33003 Mathematics of infectious diseases

  • Biostatistics and bioinformatics

Contact person: Sirkka-Liisa Varvio
LSI34002 Genome-wide association studies
LSI34007 Modelling molecular evolution
LSI34003 Phylogenetic inference and data analysis
LSI34004 Statistical population genetics
LSI34005 Statistical methods in public health
MAST32012 Survival and event history analysis I
MAST32013 Survival and event history analysis II
LSI34001 Topics in biostatistics and bioinformatics
Courses from other study tracks in Life Science Informatics MSc programme.
Courses from the MSc programme Mathematics and statistics.

  • Eco-evolutionary informatics

Contact person: Jarno Vanhatalo
LSI35001 Modelling ecology and evolution
LSI35002 Bayesian inference in biosciences
LSI35003 Project work in eco-evolutionary informatics
MAST32005 Spatial modelling and Bayesian inference
Courses from other study tracks in Life Science Informatics MSc programme.
Courses from the MSc programme Mathematics and statistics.
Courses from the MSc programme Ecology and evolutionary biology.

  • Systems biology and medicine

Contact person: Sampsa Hautaniemi
TMED-917 Introduction to systems biology
LSI36001 Clinical data mining
LSI36002 Systems medicine seminar
Courses from other study tracks in Life Science Informatics MSc programme
Courses from the MSc programme Translational Medicine
Courses from the MSc programme Computer science