Master in Life Sciences Data Science

Master in Life Sciences Data Science is a Masters program taught at University of Applied Sciences Aargau, Switzerland. Intake: February. The program is offered in campus-based modes with full-time (3 semesters (full-time) / 6 semesters (part-time)) options.

The Master in Life Sciences Data Science at University of Applied Sciences Aargau (FHNW) develops skills to create data-driven solutions for challenges in molecular biosciences. You learn to analyze complex biological, chemical, and pharmacological data and turn it into valuable insights.

The program combines applied training with programming and algorithms, data bases and data management, deep learning and AI, and applied bioinformatics. It uses choice-based elective modules, plus interdisciplinary content in scientific work and communication, innovation and project development, and professional profile building. Study options include part-time alongside work and full-time, with learning delivered through remote and in-person settings and practice-oriented project work with industry and research partners.

The minimum requirements for admission in Master in Life Sciences Data Science at University of Applied Sciences Aargau for all applicants (Domestic or International) are:

• program specific academic requirment set by University of Applied Sciences Aargau.
• English Language OR any other language requirments as set by University of Applied Sciences Aargau as pre-requiste for admission in Master in Life Sciences Data Science.

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

Please check detail of study units at https://fh-aargau.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 to improve therapies and diagnoses
• Data analytics and IT departments: development and use 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.