Master's in Data Science

Data Science is a 22.2.2027 Masters program taught at FHNW - Fachhochschule Nordwestschweiz, Switzerland. The program is offered in campus-based modes with full-time (3 Semester (Vollzeit) / 6 Semester (Teilzeit)) options.

The Master in Life Sciences - Data Science at FHNW trains you to analyze complex biological, chemical, and pharmacological data. You develop skills in statistics, machine learning, and deep learning applied to life-sciences data. The program also covers programming and algorithms, data management, deep learning and AI, and applied bioinformatics.

Learning takes place through remote and in-person teaching. The program uses practical, project-based work with industry and research partners. It has an international option for an exchange semester or for completing your master thesis abroad. Study length is 3 semesters in full-time mode or 6 semesters in part-time, while working.

The minimum requirements for admission in Data Science at FHNW - Fachhochschule Nordwestschweiz for all applicants (Domestic or International) are:

• program specific academic requirment set by FHNW - Fachhochschule Nordwestschweiz.
• English Language OR any other language requirments as set by FHNW - Fachhochschule Nordwestschweiz as pre-requiste for admission in Data Science.

Note: Please check the university website in the link below.

To be considered for the Master's degree in Data Science, applicants typically need to hold a relevant bachelor's degree in fields such as computer science, mathematics, statistics, or a related discipline. Additionally, candidates should demonstrate a strong foundation in programming and statistical methods. Previous work experience or research projects in data science may also be advantageous.

Please check detail of study units at https://www.fhnw.ch/de/life-sciences/studium/angebot/studiengaenge/master-in-life-sciences-data-science

• Research and development laboratories: analysis and interpretation of complex datasets
• Pharmaceutical and biotechnology companies: data-driven development of new drugs and diagnostics
• Clinical research institutions: evaluation of medical and molecular data
• Data analytics and IT departments: development and application of bioinformatics and statistical methods
• Start-ups in digital health: integration of life-science data into digital platforms and personalized medicine solutions

31 fully funded scholarships are listed for Switzerland. See Switzerland scholarships.