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Bioinformatics – (M.Sc.)
Aarhus University
Faculty of Science
| Application Deadline: | March 1 | ||
| Annual Tuition Fee: | Free ≈ € 15,300 (non-EEA) | ||
| Location: | Aarhus / Denmark / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 24 months | Start Date: | August |
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| Education Variants: |
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| Credits (ECTS): | 120 | ||
| Languages: | English | ||
Location of Aarhus University
The two-year MSc programme in Bioinformatics at Aarhus University targets students with a background in science or health science from tertiary education institutions in Denmark and abroad. The degree programme is both practical and research-oriented and is aimed at the business community, research institutions and the public sector. As a bioinformatician, you work with the development and application of IT for analysing and handling biological and medical data, such as DNA sequences or protein structures. The degree programme is flexible and shaped to match students’ individual academic interests. As a student on the programme, you therefore have the option of specialising in a bioinformatics topic while at the same time acquiring general competencies in bioinformatics and IT.
Focus on research
The teaching at the university is greatly influenced by the research conducted here, as the lecturers are active researchers. As an MSc student, you have excellent opportunities for working with researchers, and you can also complete a project in collaboration with a private company.
The Master’s thesis written during the last year of the degree programme carries considerable weight and, in this context, students benefit from the down-to-earth, informal atmosphere between staff and students. When you write your thesis, you have every chance of being associated with a group of researchers, which allows you to participate in the group’s scientific discussions and research projects. Students writing theses specialise in a topic within a broad area, including one of the three areas of bioinformatics in which Aarhus University is particularly strong:
Evolutionary, structural and medical bioinformatics
Evolutionary bioinformatics concerns the development and application of methodologies for studying how and in what way genomes (hereditary material) in organisms develop over the course of time.
Structural bioinformatics
Structural bioinformatics looks at the development and application of methodologies for comparing, simulating and predicting the three-dimensional structures of molecules.
Medical bioinformatics
Medical bioinformatics deals with the development and application of methodologies for increasing the understanding of correlations between diseases and genetic factors.
Contents
Bioinformatics Courses
Introduction to Bioinformatics
Introduction to basic problems in sequence analysis, structure analysis and expression analysis. The training emphasizes application of bioinformatics tools.
Programing in Bioinformatics
Introduction to Unix environment and scripting languages. Focus on introductory bioinformatics problems, development and test of smaller programs solving these problems.
Software Development in Bioinformatics
Focusses on the problems that arise when a software solution has to combine several components. Introduction to use of larger program libraries, linking of existing programs to own programs using scripting languages and databases for handling large amounts of data.
Stochastic Models in Bioinformatics
Introduction to Markov chains and hidden Markov models often used for modelling biological systems.
Algorithms in Bioinformatics
Introduction to efficient algorithms that solve specific biological problems, comprising comparison of two or more biological sequences, search for genes, reconstruction of evolutionary trees and structure prediction. The exercises emphasize implementation of methods and practical examination of their behaviour.
Genome Analysis
Methods for analysis of whole genomes, including gene finding, search for regulatory sequences, reconstruction of metabolic chains and functional classification of genes. Evolution of genomes, e.g. population variation and homology modelling at genome level. Analysis of genome and DNA chip data.
Molecular Evolution
Use of DNA sequences in studies of phylogenetic correlations between organisms. Models, methods and problems in the analysis of DNA sequences from different organisms.
Molecular Population Genetics
Methods for investigations of evolutionary processes in populations. Visualisation of models by means of computers.
Students with a biological background only
Introduction to Programming
Introduction to programming concepts and methods for systematic development and test of smaller programs.
Algorithms and Data Structures
Introduction to basic algorithms and data structures, including searching, merging, sorting, lists, queues, decks, trees. basic theory on correctness/accuracy and efficiency of algorithms and going through basic calculation paradigms.
Students with a computational background only
Introduction to Molecular Biology
Basic concepts in molecular genetics and molecular biology.
Genetics
Basic concepts in classical genetics.
Evolution and Diversity
Evolutionary science about life´s diversity.
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Requirements
The following Bachelor’s degrees qualify students for admission to the Master’s degree programme in Bioinformatics:
* A Bachelor of Science degree in Computer Science, Biology or Molecular Biology from a Danish university.
The following other degrees can provide admission to the Master’s degree programme in Bioinformatics:
* A Bachelor’s degree amounting to at least 60 ECTS credits in Bioinformatics can qualify the student for admission, provided the combined academic demands regarding the Master’s degree programme in Bioinformatics can be met.
Other qualifications can provide admission to the Master’s degree programme, provided the university assesses that their level, extent and content correspond to the degrees mentioned above.
In connection with possible admission, further requirements can be stipulated regarding the composition of the degree programme.
It is a condition that the student’s language skills correspond to a B level in English.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| TOEFL Paper-based: | 560 |
| TOEFL Internet-based: | 83 |
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