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The Master's degree (120 ECTS) is composed of studies in major (60-65 ECTS, including common studies 15 ECTS), elective studies (25-30 ECTS, including possible minor subject, multidisciplinary studies or studies abroad), and Master's thesis (30 ECTS)Technological innovations have become an essential part of modern healthcare, well-being and bioeconomy. Therefore, both in academic research and industry there is an increasing need for people who can deal with today's increasingly complex biomedical problems.

Master's Programme in Life Science Technologies offers a multidisciplinary curriculum focusing on important aspects of current biomedical research, covering fields such as biological data analysis and modeling, advanced biomaterials and bioelectronics, biomedical engineering and neuroscience. The program draws on fundamental and applied knowledge on these fields and is closely linked to research conducted in the participating Schools and Departments.

The programme offers majors for specializing in Biomedical Engineering, Bioinformatics, Complex Systems, Brain and Mind, Biosensing and -electronics, and Biosystems and -materials, with possibility to combine different fields with minor and elective studies.

Bioinformatics

Bioinformatics is a young field of science that seeks answers to the rich research questions in biology, medicine and biotechnology, with computational modeling of biological systems, and the analysis of complex big data produced by modern high-throughput measurement technologies. Understanding such data requires robust statistical modeling and computationally efficient methods. The Bioinformatics major in the Life Science Technologies programme is designed to give a strong competence in computational and data science, in particular skills for developing new computational methods and models, and applying them to real world biomolecular data. Robust background in probabilistic modeling and machine learning is provided, as well as skill to interpret and visualize diverse biomolecular data. Computer practicals are part of most courses ensuring understanding of both theory and practice of the methods. Biological background can be broadened with an elective minor. State-of-the-art methods for analyzing next-generation sequence data, gene expression and 'omics data as well as biological networks are part of the curriculum. Examples of research questions studied include predicting drug-target interactions, reconstruction of biological networks, finding associations between genotypes and diseases, and modelling dynamical behavior of complex biological pathways. The high number of biological research groups (100+) in Helsinki region provide good opportunities for internships and thesis work in real environment. International mobility period can be accommodated to the degree. Honours programme is available for high-performing students, giving a possibility to work part-time in a research group during the MSc studies. Good opportunities for PhD studies exist for excellent graduates of the Bioinformatics major.

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