Kurzbeschreibung & Facts
The School of Life Sciences FHNW offers master programmes that provide access to a broad spectrum of applied sciences. The school is located close to major players in the life sciences sector, facilitating a continuous exchange with industry research and production departments, ensuring that the latest research findings are integrated into the curriculum.
The available Master programmes are:
- Medical Informatics: Applying digital techniques and artificial intelligence in healthcare.
- Life Sciences: Preparing for a career in Applied Research and Development in Life Sciences with nine specializations.
- Joint Degree Master in Biomedical Engineering
The MSc Life Sciences offers the following specializations:
- Analytical Chemistry
- Applied Cell Biology
- Bioanalytics
- Biotechnology
- Chemical Engineering
- Data Science
- Environmental Technologies
- Organic and Supramolecular Chemistry
- Pharmatechnology
A Double Degree option is available for selected students, allowing them to earn two diplomas by studying one additional semester at a partner institution.
The FHNW Campus Muttenz houses approximately 3,700 students and 800 employees, including those from the School of Architecture, Civil Engineering and Geomatics, Civil Engineering and Geomatics, as well as the School of Education and Social Work.
- Abschluss
- Master of Science
- Studienform
- Vollzeit
- Standort
- Muttenz
Letzte Bewertungen
Die Dozenten kommen alle aus der Industrie und teilen ihre Erfahrungen sehr! Ausserdem gibt es immer wieder Vorträge von Gastdozenten aus der Industrie, die ihre Erfahrung teilen!
Empfehlungen
Standort der Fachhochschule Nordwestschweiz (FHNW)
Bahnhofstrasse 6, Windisch, Schweiz
ISCED Bereiche
Studiengänge
Allgemeines zum Naturwissenschaften Studium
Naturwissenschaftliche Studiengänge, wie Biologie, Chemie, Physik und Geowissenschaften bzw. Angewandte oder Interdisziplinäre Naturwissenschaften, bieten eine fundierte Ausbildung in wissenschaftlichen Methoden und Denkweisen. Studentinnen und Studenten lernen, empirische Daten zu sammeln, zu analysieren und zu interpretieren, um das Verständnis der natürlichen Welt zu vertiefen.
