Overview
The bioinformatics masters programme will provide you with a broad specialist competence in bioinformatics, and you will also develop your own individual ability to solve problems, to plan and carry out analyses, and to collect, process and critically judge results.
Program profile
The curriculum contains courses focusing on analysis of large-scale molecular biological and biomedical data, bioinformatics algorithms as well as research and development in bioinformatics.
There is a computer science part of the programme, where you will concentrate on courses in Perl programming as well as the statistical language R, which are both highly used in bioinformatics. You will also carry out a master's dissertation project in the field of bioinformatics.
During your studies, lectures will be mixed with computer laboratory work. You will learn how to use various computerized tools for compiling and analyzing data from research projects and biological experiments, and to use various methods for analysis, for example sequence analysis, phylogenetic analysis and gene expression analysis.
The language of tuition is English.
Curriculum
Autumn term
- Bioinformatics tools and concepts, Advanced level, 7.5 ECTS credits
This course comprise an overview of the area as well as a review of commonly used information sources and methods in bioinformatics, with a focus on large-scale molecular biological and biomedical data.
- Bioinformatics algorithms, Advanced level, 7.5 ECTS credits
This course contain an in-depth review of commonly used algorithms in bioinformatics and how these are applied to molecular biological problems.
- Bioinformatics analysis in Perl, Basic level, 7.5 ECTS credits
The aim and purpose of this course is to teach you how to program in the language Perl, with a focus on solving bioinformatics problems.
- Gene expression analysis using R, Advanced level, 7.5 ECTS credits
This course provide you with knowledge on how to analyse DNA microarray data using the statistical language R as well as publicly available tools.
Spring term
- Bioinformatics - research and development, Advanced level, 7.5 ECTS credits
This course covers up-to-date research within bioinformatics as well as how research and developmental work is done in general. This course also introduces you to a topic for final year project. - Molecular markers for diagnosis and prognosis, Advanced level, 7.5 ECTS credits
This course integrates biology, biomedicine and bioinformatics in order to develope effective methods for identification and use of molecular markers. - Master Degree (One Year) Project in Bioinformatics, 15 ECTS credits
In this course you do a final year project in bioinformatics, which means that your project has to a have coupling to current research. The project comprise 10 week full time studies.
Degree
Students who successfully complete all courses are awarded the degree Master's degree (one year) with a major in bioinformatics.