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What will I learn?

Systems Biology will become mainstream in biological sciences this century. It can be used to systematically gather knowledge at all levels, from molecules to entire systems and its integration into quantitative (computer) models. These models make accurate simulation of biological processes possible.

This programme will give you the knowledge and practical skills necessary to unravel the complexity of these systems and use it for academic, industrial and societal progress. After you’ve graduated, your ability to unify life sciences and mathematics will make you a great candidate for a career in medical research, drug development and biotechnology.

Systems Biology is an exciting new, holistic approach that combines biology, computational modelling, and mathematics to create innovative models. The ultimate goal is the development of virtual versions of biological systems, which lead to new insights and eventually predictions concerning the behavior of such systems.

Our approach builds on integrating knowledge of biological systems at different scales: from molecules and cells to organisms and populations.

Programme highlights

  • A wide spectrum of science courses and skills leading to a multi-disciplinary programme
  • Unique combination of biology, computational modelling and mathematics
  • An open curriculum that allows you to build your own curriculum
  • Innovative instructional format directed to problem solving and student-centered learning (problem-based learning and research-based learning)
  • A large proportion of student research in the programme
  • An international academic community in close contact with local industry
  • Educational setting in small groups meaning high staff/student ratio
  • Staff consisting of top researchers (Veni, Vidi, Vici and ERC award winners)
  • participation in ongoing, cross-border research, giving you hands-on experience

Systems Biology is quickly becoming main stream in biological sciences, applicable for academic innovations, industrial applications, and societal progress.

Open curriculum

In order to solve the scientific challenges in biological systems, a new generation of multidisciplinary professionals is required that design creative solutions. In our programme, we offer you a vibrant academic community in which you collaborate closely with researchers to achieve the ambitious goals set for Systems Biology: a computer-based virtual version of cells, organs, animal models, patients, populations, and ecosystems. You can make your own unique combination of biology, computer science and mathematics, giving you the unique opportunity to build your own curriculum that suits your interests and needs for a future career. An individually-assigned mentor will guide you in making these choices.

Your future

Systems Biology 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 modelling 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 PhD candidate)
  • research institutes (like MaCSBio or Institute Data Sciences)
  • medical research at hospital (MUMC+) or start-up companies
  • industrial R&D departments
  • start-ups & SMEs
  • governmental institutions
  • consultancy firms
  • NGOs

Study options

Full Time (2 years)

Tuition fees
€16,800.00 (13,72,549) per year
Statutory fee for this programme is € 2,083
Start date

Expected September 2022

Venue

Maastricht University

Minderbroedersberg 4-6,

MAASTRICHT,

Limburg,

6211, Netherlands

Entry requirements

For students from United States

Applicants must have eligible for admission if you have a bachelor's degree from a relevant academic field, for example, philosophy or sociology. English language requirements: IELTS (6.5); TOEFL Paper-based test (575); TOEFL Internet test (90); TOEIC listening and reading (720) and speaking and writing (310); Cambridge [Advanced (CAE) Grade C (scale 180-184), First Certificate in English (FCE) Grade A (scale 180-184), First Certificate in English (FCE) Grade B (scale 176-179)].

For international students

You are eligible for admission if you have a bachelor’s degree in a relevant field composed of at least 180 ECTS; at least 15 ECTS (or equivalent) in mathematics at bachelor level. The mathematics should include the topics: Linear and/or geometric algebra, analysis & calculus, trigonometry, and basic statistics (data analysis and evaluation).

IELTS test: minimum score overall 6.5

TOEFL test: overall, paper-based minimum score 575

TOEFL test: overall, internet-based minimum score 90

TOEFL test: overall, computer-based minimum score 232

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