Master of Science in Applied Computational Life Sciences

Science and business are undergoing profound changes as a result of the developments of the digital revolution. Expertise in working with digital tools and large quantities of data are key supplementary skills for subject specialists. In this Master’s programme, you will acquire these supplementary skills and combine them with the subject-specific experience and knowledge gained in your Bachelor’s degree.

Your Background

Do you have a Bachelor’s degree in one of the following fields or in a related field?

• Agronomy
• Bioanalytics and Cell Biology
• Biology
• Biotechnology
• Chemistry
• Energy and Environmental Technology
• Engineering
• Environment and Natural Resources
• Environmental Technology
• Food Science and Management
• Food Technology
• Forest Sciences
• Information Technology
• Medical Technology
• Pharmaceutical Technology
• System Technology

Are you fascinated by the potential of digital technology? Then come and master up your degree by becoming a data scientist and simulation expert!

Interested persons with other backgrounds should contact the Program Advisor directly Dr. Manuel Gil

Flexible Study Agreement

Before your studies begin, you decide on your personal educational goals, define the topic of your Master’s thesis and create your individual study plan together with your supervisor from the selection of available modules. Your personal study programme is based on your educational background, your interests and your objectives. You will be able to profit from close interaction with your supervisor both at the beginning and throughout your studies. The Study Agreement is a learning tool that defines the balance between independent learning, contact lessons and e-learning. It enables you to create your own contemporary learning context that incorporates a high degree of flexibility.

Structure at semester start in autumn:

Weekly structure:

Your Field of Interest

Are you interested in any of the following fields?

• Artificial Intelligence and Predictive Analytics
• Biomedical Simulation
• Citizen Science Technologies
• Climate Modelling
• Complex Systems
• Computational Genomics
• Data Integration and Semantic Web Technologies
• Digital Health
• Forecasting & Decision Making
• Geoinformatics
• Health Technologies
• Lab Information and Management Systems LIMS
• Process Optimization in Food Technology
• Smart Environmental Systems
• Smart Farming

You can choose your thesis topic and your advisor based on your field of interest.  You will be placed in one of our specialisation tracks, which will prepare fully for your Master’s thesis in your field of interest.

Your New Skills

• 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

Your Future

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.

Cooperation

The Master of Science in Life Sciences is a cooperative venture run by the ZHAW together with three other Swiss Universities of Applied Sciences:

• The Berne University of Applied Sciences BFH
• University of Applied Sciences and Arts Northwestern Switzerland FHNW
• University of Applied Sciences and Arts Western Switzerland HES-SO

As part of the cooperation modules, you will benefit from the expertise of all four partners, create an extensive network, and participate in interdisciplinary exchanges.

Modules, topics and tracks

The study consists of different categories of modules::

1. Modules in the specialisation (Specialisation Skills):

• Core modules: Competencies in the handling of digital tools, including dealing with data, modeling and simulation
• Specialisation Track modules: Preparation for the Master Thesis in a specific field of application
• Master's thesis: The core of your studies

2. Modules in combination with the MSc Life Sciences:

• Core Competencies: Generic modules to deepen topics that are relevant to your studies
• Cluster-specific modules: Interfaces between the technical and scientific core area and the economic and social environment

Module descriptions

Core Modules - 20 credits

This module group consists of the following 4 modules: Programming, Algorithms and Data Structures, Mathematical Modeling, Databases and Data Architecture Systems, Machine Learning and Data Analytics

Classes are usually held on Mondays and Tuesdays in Wädenswil.

Specialisation Track Modules - 10 credits

During two modules, you can deepen the thematic scope of your master's thesis. Classes are usually held on Monday and Tuesday in Wädenswil.

Master's thesis - 30 credits

On the basis of research you have carried out, you answer a specific question in this field and work out concrete solutions that are relevant for research, industry and society, often in co-operation with national and international partners. Through the thesis you not only demonstrate your knowledge and skills, but also expand the state of research in your specific field of scientific expertise.

Cluster-specific modules – minimum 9 credits

Cluster-specific modules complement the specialisation modules. The specialisation Applied Computational Life Sciences is part of the group BECS (Biomedical Engineering and Computational Science). You choose modules out of the group BECS, two of which are mandatory modules. In addition you also can choose elective modules out of all other clusters (see list by the module descriptions).

The Master's programme in Life Sciences takes 3 full-time semesters and comprises 90 credits (ECTS). This corresponds to a workload of approximately 2,700 hours. This intensive workload requires good planning and organisation.

Part-time study opens up numerous ways to achieve the objectives of the programme - adapted to your personal circumstances and needs. We recommend that students do not engage in any additional professional activities that exceed a maximum workload of 50% of a full-time position. You should consult your specialisation team individually about this matter. For administrative questions, please contact the registrar's office.

How you structure your part-time studies should be discussed and determined before commencement thereof when creating your Individual Study Agreement (ISA).

During your studies, you will expand your personal skills profile, in terms of your technical and methodological expertise as well as your self-competence. The focus on the Master's thesis encourages creative approaches to problem solving, re-examination of perspectives and a combination of entrepreneurial and scientific thinking.

Work in the research group will help you develop teamwork skills, initiative, critical thinking and leadership skills. We promote independent, research-based learning in small classes with interactive lessons.