The digital revolution is changing science and business. Expertise in AI and Big Data is becoming an essential skill. In this Master's programme, you will get these skills and combine them with your domain.

The job market is calling for domain specialists with specific skills in AI, data, modelling and simulation. Get excellent job prospects in the life sciences and be a sought-after specialist in the industry, universities, and authorities.

This specialisation in Applied Computational Life Sciences lays the foundation for a career in a rapidly developing field. The programme provides essential knowledge in a field where science meets business, and opens up career paths in international companies, agile start-ups and research institutions.

The possibilities for graduates are almost endless. Many find employment during their studies. They work as data analysts, data scientists, application developers or researchers in a wide range of industries, including pharmaceuticals, biotechnology, agro-food, environment and medicine.

Suitable students have the opportunity to be accepted onto our Data Science PhD programme run in collaboration with other Swiss universities.

• We offer a customisable Master’s programme which you can complete in 3, 4, 5, 6 or 7 semesters.
• The programme offers an attractive mix of modules from research, science, practice and business.
• You will have the opportunity to grow both as a professional and as a person, and to evolve into a sought-after specialist with leadership skills.
• We offer exciting research projects for your Master's thesis.
• You will be able to join a research group, where you can practice skills such as teamwork, initiative and critical thinking.
• You will benefit from small class sizes in the advanced modules, which offer interactive learning activities that will allow you to take charge.

• Processing and analysing data of various sizes and levels of complexity.
• Conceptual and technical skills to combine your expertise in a life sciences discipline with the potential of computational methods.
• Computational modelling and simulation of processes.
• Statistical modelling with machine learning and neural networks.
• Programming using modern scripting languages such as Python and R and you will understand the basic concepts of software and computer architectures.
• Analysis and solving  of complex problems that combine scientific, social and entrepreneurial thinking.
• Planning, implementation, evaluation and presentation of major research and development projects.

The picture above shows the general structure of a full-time Master's programme. Students design their own study paths and choose their own focal points.

Together with your supervisor, you design your own individual study plan from the range of compulsory and elective modules. The selected modules are recorded in your individual study agreement (planning).

In addition, elective modules from the specialisations of Pharmaceutical Biotechnology, Chemistry for the Life Sciences or Food and Beverage Innovation can be taken.

During your studies, you will expand your personal skills in technical expertise, and self-management. The practice-oriented research focus of your Master's thesis will foster your ability to innovate, change perspectives, and combine entrepreneurial with scientific thinking.

The work in your research group will not only help you develop your creativity, initiative and critical thinking abilities, but also your leadership and teamwork skills. We promote inductive, inquiry-based learning in small classes with interactive learning activities such as group work and presentations.