Descrizione della formazione

Master: Der Master ist der zweite Hochschulabschluss und verlangt 90 – 120 ECTS (Kreditpunkte).

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.

Piano di formazione

90 ECTS Punkte / 120 (Double Degree)

1 ECTS-Kreditpunkt entspricht einem Arbeitsaufwand von 25 – 30 Arbeitsstunden