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Archived Curricula Guide 2012–2013
Curricula Guide is archieved. Please refer to current Curricula Guides
Master´s Degree Programme in Bioinformatics

Learning outcomes

The students will have theoretical and practical knowledge about key fields of bioinformatics, computational biology, and systems biology. After finishing they will be able to perform analyses of DNA and protein sequences, protein structures and gene expression data and interpret the results in their biological context.

Content

Bioinformatics is a young discipline which combines biomedical problems with solutions from information technology, mathematics, and statistics.

Prerequisites

A BSc degree in a suitable field, such as molecular biosciences, information technology, or statistics.

Further information

See also Degree Programmes Taught in English (http://www.uta.fi/admissions/degreeprog/programmes/bioinformatics.html) and our home page at http://bioinformatics.fi

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Master´s Degree Programme in Bioinformatics

General Studies 6–12 ECTS
English language course and Finnish not required if initial test passed.
BIO0001 Orientation Course, 3 ECTS
BIO5555 English Language Course, 3 ECTS
KKSU1 Elementary Course 1, 3 ECTS
KKENMP2 Introduction to Thesis Writing, 3 ECTS
Major Subject Studies in Bioinformatics 76–82 ECTS
BIO2080 Introduction to Bioinformatics, 4 ECTS
BIO4280 Algorithms in Bioinformatics, 4 ECTS
BIO4260 Biological Data Analysis Project, 4 ECTS
BIO4270 Bioinformatics, Programming Course, 4 ECTS
BIO4211 Genomics, Transcriptomics and Proteomics, 4 ECTS
BIO4290 Tools for Intelligent Data Analysis, 4 ECTS
BIO4240 Structural Bioinformatics, 4 ECTS
BIO4230 Phylogenetics, 4 ECTS
BIO4031 M.Sc. Thesis, 40 ECTS
BIO4032 Maturity test,
Compulsory Minor Subject Studies 3–24 ECTS
Required courses defined by initial tests and previous studies.
BIO2210 Introduction to Molecular Biology, 3 ECTS
BIO2220 Introduction to Biochemistry, 3 ECTS
BIO2260 Introduction to Computer Science, 3 ECTS
BIO2250 Introduction to Programming, 6 ECTS
BIO2230 Introduction to Genetics, 3 ECTS
BIO2270 Introduction to Statistics, 3 ECTS
BIO2290 Mathematics for Bioinformatics, 3 ECTS
Optional Studies 2–35 ECTS
Any amount so that 120 ECTS credits are completed.
BIO4390 Major Transitions in Evolution, 3 ECTS
BIO4350 Protein Modelling, 6 ECTS
BIO4460 Journal Club, 2 ECTS
BIO4340 Text Mining in the Biomedical Domain, 3 ECTS
BIO4380 Bioinformatics Project, 1–6 ECTS
BIO4660 Advanced Statistics, 4 ECTS
Supplementary studies 1–60 ECTS
Supplementary studies may be required above the 120-ECTS minimum
BIOI0010 Supplementary Mathematics, 3 ECTS
Institute of Biomedical Technology
Degree Programmes