Maastricht University, Faculty of Science and Engineering
MSc Systems Biology and Bioinformatics
Maastricht, Netherlands
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
TUITION FEES
EUR 2,694 / per year **
STUDY FORMAT
On-Campus
* for non-EU/EEA | 1 June 2026 for EU/EEA/Swiss
** statutory fee | € 25,100 institutional fee
Key Summary
About: The MSc Systems Biology and Bioinformatics trains you to combine mathematics, biology and data science to model and predict interactions among genes, proteins, cells and their environment. You'll learn to design experiments and use computational and experimental methods to study function and behavior. The programme targets biomedical and healthcare applications and links to research in molecular imaging, neurobiology, cardiovascular disease and cancer, preparing interdisciplinary scientists with systems-level and applied quantitative skills.
Career Outcomes: With strong research training, you'll be prepared for research careers. Academic (PhD), research institutes, hospital medical research (MUMC+), industrial R&D, start-ups & SMEs, government, consultancy and NGOs.
Would you like to learn how scientists can combine mathematics, biology and data science to tackle human health challenges? Then start the master's programme in Systems Biology and Bioinformatics.
The field of systems biology is at the heart of modern biology and health research. It is dedicated to understanding the dynamic interactions between all the components of a living system. Just think of the interplay between, for example, our genes, proteins, cells and their environment. Systems biology connects all these factors through modelling, simulating and predicting biological processes in both health and disease - or to personalise medicine.
The MSc Systems Biology and Bioinformatics provides you with the necessary knowledge about the cornerstones of this field of study: mathematics and biology. You will learn to model biological systems in order to understand their functions, predict their behaviour and plan new, valuable experiments.
Cutting-edge research in molecular imaging, neurobiology, cardiovascular diseases or cancer cannot be done without the aid of systems biologists. The MSc Systems Biology and Bioinformatics will fully prepare you to take on your expert role in these exciting and important sectors, driving advances in human biology and health. Our mission is to train interdisciplinary scientists who have a broad view of biological systems, with a focus on one of Maastricht University’s research strengths: biomedical and human healthcare applications. The demand for systems biologists is only growing.
Year 1
Period 1 and 2: An introduction to Systems Biology and Bioinformatics
You will start with a two-day introduction to Problem-Based Learning. After this, your first compulsory courses will begin. Depending on your background, these will be Biology and Physiology or Mathematics of Biological Systems. You are obliged to follow the courses: Systems Biology, Modelling Biosystems and Experimental Design & Data Management.
Period 3: Project period 1
It is time for your first research project, examining a real-life challenge. With several fellow students, you will test and enlarge your skills by learning from each other. Still not very sure of your knowledge of mathematics or biology? Undoubtedly your research partners will help you. Often you will do your research with one of the research institutes at UM, like the Maastricht Centre for Systems Biology (MaCSBio) which is the scientific hub of many of your teachers.
Period 4 and 5: Tailoring your programme
During Period 4 you will choose two of these three electives: Omics, Cardiovascular Systems Biology or Dynamical Systems & Non-Linear Dynamics. Followed in Period 5 again with a choice of two out of these three electives: Fundamental & Systems Neuroscience, Modelling Metabolism or Machine Learning & Multivariate Statistics.
Period 6: Project period 2
It’s time to finish your first year with your second research project. You will continue to build upon the skills you’ve gained and collaborate with your fellow students, your different backgrounds and knowledge complementing one another.
Year 2
Period 1: Tailoring your programme even more
It’s time to work further on your career ambitions with two out of four elective courses: Computational Neuroscience, Network Biology, Scientific Programming or Commercialisation & Entrepreneurship.
Period 2 - 6
The rest of the second year is devoted to the grand finale - your master thesis. Your thesis project helps you build your academic profile through an integrated piece of research and/or research-based engineering, preparing you for your future career. You can choose to do your thesis project at a company, a research institute or an NGO - in one of the high-tech facilities in and near Maastricht or another country, it’s fully up to you. For those who like working in a lab, this is your chance to combine generating your own lab data and analysing it as a true systems biologist.
Systems Biology and Bioinformatics is a relatively new and rapidly developing field of science. This means there is a large demand for graduates that can combine biology and life sciences with computational modeling and mathematics.
Because the programme has a strong emphasis on professional research skills, you will have all the skills you need to pursue a career in:
- Academic research groups (as a Ph.D. candidate)
- Research institutes (like MaCSBio or Institute Data Sciences)
- Medical research at the hospital (MUMC+) or start-up companies
- Industrial R&D departments
- Start-ups & SMEs
- Governmental institutions
- Consultancy firms
- NGOs
You can enter our programme from a range of bachelor programmes including Biomedical Sciences, Bioinformatics, Neuroscience, (Molecular) Biology, Mathematics, Biomedical Engineering, Data Science, Informatics or Computer Science, Physics and University Colleges.
Only by combining different backgrounds and disciplines we can master the challenges in Systems Biology and Bioinformatics. The holistic and interdisciplinary approach of our programme suits students with a diverse background, who all have an important contribution to the programme.