Bioinformatics use computer methods to analyze biological data. (Previously: Bioinformatics and Systems Biology.)
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Bioinformatics is a field of research focusing on computational analysis of biological data. It is an essential competence, as almost all biomedical research today involves the use of bioinformatics.
In contrast to the past focus on single genes or proteins, systems biology is a field of research which focuses on understanding entire biological systems—such as protein complexes, metabolic pathways, or gene regulatory networks.
The Bioinformatics study programme is highly interdisciplinary, combining knowledge from fields such as molecular biology, genetics, computer science, mathematics, and statistics.
Study programme focus
In the course of your studies you will learn to use computer-based methods and mathematical models to analyse the vast amounts of biological data produced using high-throughput methods. Examples of biological data include DNA and protein sequences, mRNA levels, lists of post-translational modifications, protein-protein interaction data, and metabolic pathway information. But patient histories and the scientific literature itself are also examples of data types that can be analysed using computer methods.
Although the focus is on computational analysis, it is important to have a solid understanding of the underlying molecular biology and the experimental methods used to generate the large volumes of data. Students will therefore have the opportunity to work both independently and with others in the laboratory, to ensure an even closer connection between data analysis and experimental work.
You will be part of an exciting research area that will shed new light on fundamental, biological phenomena, and may lead to the development of new vaccines, cell factories, and medicines targeted at individual patients.
You will have the opportunity to work in close collaboration with both Danish and international companies - either as part of the courses, as an individual project or while writing your thesis.
The MSc is a two-year graduate programme with a workload of 120 ECTS credit points.
See curriculum
Regardless of one's background, basic knowledge of biochemistry and molecular biology is essential in order to understand the biological problems that are addressed in Bioinformatics. It is also an advantage to know basic computer programming. We therefore very strongly recommend that all prospective students should make sure to build competences in these fields, for instance by taking elective courses during their BSc. We suggest courses corresponding to a minimum of 5 ECTS in molecular biology, and 5 ECTS in computer programming (Preferably Python or R).
Prerequisites, Bachelors from other universities
To be eligible for admission, applicants must document a relevant Bachelor’s degree (or equivalent). Applicants must have completed a minimum of 60 ECTS credits within academic areas relevant to bioinformatics.
Applicants must document at least 20 ECTS credits of relevant core qualifications within the following areas:
The remaining 40 ECTS credits must be completed within one or more bioinformatics relevant scientific, engineering, or technical subjects, including but not limited to: Life science, Computer Science, Mathematics and statistics, Data science, Bioinformatics or computational biology.
The overall combination of competencies must be relevant to the MSc programme in Bioinformatics. The assessment is based on completed and documented courses. Admission is based on an overall academic assessment, and meeting the minimum ECTS requirements does not in itself guarantee admission.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 31 位 | 蒙纳士大学Monash University | 2年 | 55540澳元/年 |
| 第 77 位 | 西澳大学The University of Western Australia | 2年 | 53500澳元/年 |
| 第 90 位 | 哥本哈根大学University of Copenhagen | - | - |
| 第 98 位 | 柏林自由大学Freie Universität Berlin | 4 学期（约 2 年） | - |
| 第 142 位 | 佐治亚理工学院Georgia Institute of Technology | 1-2年 | 18345美元/学期 |
| 第 536 位 | 佐治亚大学University of Georgia | 18学分 | 12,593美元/学期 |