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Locations and ContactFHNW LibraryMedia Relations

Registration possible until 30 June. Secure your place now!

Life Sciences
Master programmes Life Sciences
Data Science

Data Science

A Gateway to Data-Driven Innovation and Discovery in Molecular Life Sciences

Key data

Degree
Master of Science in Life Sciences
Studying type
Double-Degree with foreign University optional
ECTS points
90
Studying mode
Full-time and part-time
School days
Monday to Friday
Teaching language
English
Place
Muttenz (Basel-Land)
Stay abroad
optional
Application fee
CHF 200

Application deadline extended until 30 June 2025.

Go to information eventsApply now

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New specialisation starting Autumn Semester 2024

At the intersection of cutting edge scientific innovation and industry demand, our Data Science specialisation within the MSc in Life Sciences programme trains students for current and future opportunities in the data-driven life science sector.

Data Science – Career Opportunities
The Data Science specialisation is designed to prepare you for a career in industrial, research, academic and clinical environments. The programme recognizes the growing global significance of data science in the analysis and interpretation of complex biological, chemical and pharmacological data. With the advent of high-throughput technologies and the vast quantities of data they produce, data science has become indispensable to the research and development of new drugs, molecular diagnostics and chemical analysis.

Data Science – Curriculum
The comprehensive curriculum provides extensive IT skills training centred around basic and advanced programming, algorithms, databases and deep learning. The flexibility to pursue specialized electives enables a focus on areas of personal or professional interest. Whether deciphering the language of genes, predicting disease pathways or influencing the next wave of precision medicine, the skills you acquire here will qualify you for key roles in research labs, innovative startups and industry giants.
An integral component of the Data Science specialisation is the eight-month research thesis: an opportunity to engage with practical challenges in an industrial or academic environment. The MSc thesis project is an excellent platform for professional development.

Data Science – Entry Requirements
The MSc in Life Sciences – Data Science is especially suited for students with a BSc in natural science or life sciences who have a strong inclination for mathematics and IT.
For full-time students a start in the autumn semester is highly recommended.

Modules

Modul Groups for Data Science

Module Group Data Science (6 out of 7 required)

  • Computer and Software Architectures
  • Programming, Algorithms and Data Structure
  • Data Bases
  • Computational Modelling Project
  • Deep Learning
  • Human Machine Interaction and Bias Mitigation
  • Artificial Intelligence in Drug Discovery

Module Group Electives (2 out of 8 required)

  • Genomics
  • Biomarker
  • Proteomics and Protein Analytics
  • Advanced Mass Spectrometry
  • Molecular & Translational Imaging
  • Process Automation
  • Laboratory Automation in the Pharmaceutical Industry
  • Process Analytical Technology

Module Group Cluster-Specific (3 out of 5 required)

  • Modelling of Complex Systems
  • Machine Learning and Pattern Recognition
  • Optimisation and Bioinspired Algorithms
  • Imaging for the Life Sciences
  • Foodomics

Module Group Core Competences (4 out of 8 required)

  • Handling and Visualizing data
  • Design and Analysis of Experiments
  • Modelling and Exploration of Multivariate Data
  • Data and Ethics
  • Business Administration for Life Sciences
  • Management and Leadership for Life Sciences
  • Innovation and Project Management
  • Politics and Society

N.B. In total 50 ECTS (meaning 17 modules a 3 ECTS) have to be gained. Further modules can be chosen: Module Overview
You may also plan your studies in advance with our MSc Life Sciences planning tool.

Admission

Graduates with an excellent Bachelor's degree are admitted directly if they:

  • hold a Bachelor's degree in a related technical field from a university of applied sciences with a mark of A, B or ≥ 5 or an equivalent mark (≥ good)
  • or demonstrate an equivalent background (BSc) and practical experience
  • and have excellent English skills.

Prospective students who meet most but not all of the entry requirements are invited to an interview.

Study guide

Visit our next Info Event!

Apply now

Degree Programmes

Life Sciences
MSc Life Sciences overview
Georg Lipps

Prof. Dr. Georg Lipps

Dean MSc in Life Sciences, Team leader Proteins and Enzymes

Telephone

+41 61 228 54 52

E-mail

georg.lipps@fhnw.ch

Address

School of Life Sciences FHNW Institute for Chemistry and Bioanalytics Hofackerstrasse 30 4132 Muttenz

Abdullah Kahraman

Prof. Dr. Abdullah Kahraman

Group Leader, Data Science in Life Sciences

Telephone

+41 61 228 62 23

E-mail

abdullah.kahraman@fhnw.ch

Address

School of Life Sciences FHNW Institute for Chemistry and Bioanalytics Hofackerstrasse 30 4132 Muttenz

overview_masterlife sciencesspezialisierung

FHNW School of Life Sciences

FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Life Sciences

Hofackerstrasse 30

CH - 4132 Muttenz

E-Mailinfo.lifesciences@fhnw.ch

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