Master's Programme in Life Science Technologies
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 programme offers majors for specializing in Biomedical Engineering, Bioinformatics, Complex Systems, Human Neuroscience and Technology, Biosensing and Bioelectronics, and Biosystems and Biomaterials Engineering, with possibility to combine different fields with minor and elective studies. The Department of Computer Science hosts the majors of Bioinformatics and Complex Systems.
The Bioinformatics major is designed to give strong competences in computational and data science, skills for developing new computational methods and models, and applying them to real-world biomolecular data. The student will acquire solid knowledge of probabilistic modeling and machine learning, as well as skills to interpret and visualize diverse biomolecular data.
In addition to a normal Master's programme, Bioinformatics will be offered as a doctoral track. Doctoral track is a competitive track where only a limited number of top students will be admitted. Students selected to the doctoral track can have their studies tailored towards pursuing PhD studies and can start working towards PhD in one of the department’s research groups already during their Master studies.
The Complex Systems major will provide students with tools to understand systems with large numbers of interacting elements, from the human brain to social networks and from living to technological systems. This major will focus on system-level understanding as well as on giving the students hands-on experience in data-intensive research. The set of tools in the curriculum includes network science, nonlinear dynamics, agent-based modelling, machine learning and Bayesian statistics, together with the fundamentals of dealing with empirical data and computational data analysis.
In addition to a normal Master's programme, Complex Systems will be offered as a doctoral track.
High-performing students from both majors can be selected to the department’s Honours Programme giving them a possibility to work part-time in a research group during the MSc studies.