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Master of Science in Life Sciences - Applied Computational Life Sciences

Programming, Algorithms, Data-Structures, Mathematical Modelling, Machine Learning, Pattern Recognition, Data Bases, Data Architecture Systems, Handling and Visualising Data, Neural Networks and Deep Learning are the relevant Keywords. Those who master these contents have key qualifications for the future. Become a data scientist and simulation expert!

The video of the Master's programme in Applied Computational Life Sciences: this is how to study at the ZHAW in Wädenswil (1:49 min.)

Why pursue a Master’s degree in Food and Beverage Innovation?

The digital revolution is giving rise to profound changes in both science and business. Expertise in dealing with digital tools and large volumes of data is becoming an essential skill for specialists. In this master's program, you will acquire these exact skills and combine them with your subject-specific experience and your knowledge from previous studies (BSc).

The job market is calling for specialists with specific skills in data management, modeling and simulation. On the one hand, you will have excellent job prospects in the various areas of the food industry. On the other hand, you will be a sought-after specialist at universities, authorities and in national and international organisations.

"During my bachelor's degree in biology at ETH Zurich, in lectures on genomics and systems biology, I heard about bioinformatics for the first time. It soon became clear to me that I would like to work in this interdisciplinary area - using computers to find answers to unsolved problems in biology. I was very interested not only in the opportunity to work with an industrial partner, but also in the teaching principle of the lecture: applying what I had learned directly to the Master's thesis."

Matteo Delucchi, Master student ACLS

Your background

You are fascinated by topics such as: Artificial Intelligence and Predictive Analytics, Biomedical Simulation, Citizen Science Technologies, Climat Modelling, Complex Systems, Computational Genomics, Data Iintegration and Semantic Web Technologies, Digital Health, Forecasting & Decision Making, Geoinformatics, Health Technologies, Lab Information and Management Systems LIMS, Personalized Medicine, Process Optimization in Food Technology, Smart Environmental Systems, Smart Farming.  

You have a Bachelor's degree in: Agronomy, Bioanalytics and Cell Biology, Biology / Biotechnology, Chemistry, Energy and Environmental Technology, Information Technology, Engineering, Food Science and Management, Food Technology, Medical Technology, Pharmaceutical Technology, System Technology, Environment and Natural Resources, Environmental Technology, Forest Sciences or similar (admission with other degrees may be granted at the programme directors' discretion).

Career: What a Master’s degree in Life Sciences in Applied Computational Life Sciences will allow you to do.

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

As a graduate of this programme, you will find a job that shapes the future

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

"The future is digital! I've always been interested in technology. That's why I want to expand my expertise in neuroscience by learning about digital skills such as programming, neural networks and machine learning. I think this combination of digital skills and expertise will open many doors for me as the demand for this profile on the job market is always increasing. I study part-time and also work at the Institute of Applied Simulation. This is ideal for me, because I can immediately apply what I have learned."

Sofia Rey, Research assistant at the ZHAW Institute for Applied Simulation

"After my bachelor's degree in biotechnology, I wanted to immerse myself in the exciting world of data science. This was possible thanks to the new Master's programme in Applied Computational Life Sciences. The wide range of subjects in this Master's programme includes programming, machine learning and data structures. I benefited enormously from my Master's studies and I feel well-prepared for my new professional challenge as a data analyst in IT forensics."

Moritz Kaufmann, Data Analyst in IT forensics

Good reasons for a Master’s study in Wädenswil

"ACLS teaches you the skills you need for a digital future."

Dr. Matthias Nyfeler, specialisation director at the Institute of Applied Simulation

Your new skillset

Click with the mouse on the blue dots for more information.

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).

A maximum of 10 ECTS can also be taken in elective modules from the specialisations of Pharmaceutical Biotechnology, Chemistry for the Life Sciences or Food and Beverage Innovation

News from the study

Film length 1:15 minutes

Researching for practice

During your studies, you will expand your personal skillset not only in terms of technical expertise and methodology, but also in terms of 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.

Do you have any questions?

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