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

    The deadline for applications for the autumn semester is 30 April of the relevant year and 30 November for the spring semester.

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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 OpportunitiesThe 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 – CurriculumThe 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.

    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
    • Process Modelling and Simulations
    • 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

    FHNW School of Life Sciences

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

    Hofackerstrasse 30

    CH - 4132 Muttenz