The digital revolution is profoundly transforming our scientific and business world. The job market is calling for domain specialists with specific skills in AI, data, modelling and simulation. This Master's programme enables you to develop these competences and to integrate them seamlessly into your field of study from the previous Bachelor's programme.

Gain excellent career opportunities in various areas of the life sciences and establish yourself as a sought-after professional in the industry, universities, as well as in public authorities.

This specialisation in Applied Computational Life Sciences lays the foundation for a career in a rapidly developing field.

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.

^{Orange: Specialisation Modules / Green: Cluster Modules - you choose at least 9 ECTS / Blue: Core Competences - you choose at least 12 ECTS
Solid colours: mandatory modules / Light colorus: elective modules}

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.