Quantitative Life Science
Job Description
The program
This study program belongs to the School of Science
Location: On Campus
This research-focused program is ideal for individuals with a strong interest in life sciences and a passion for applying quantitative and computational methods to biological problems. It equips graduates with the skills and knowledge to pursue careers in research, academia, or data-driven roles within the life sciences.
5 Reasons to join this program
- Join a research focused Master program, combining cutting-edge experimental research with the latest developments in big data, machine learning and artificial intelligence.
- Meet and explore the challenges and opportunities at the interface of molecular life sciences and data science providing a qualification for the future.
- Benefit from small class sizes, intense faculty-student interaction and hands-on research training in successful and productive research groups.
- Contribute to innovative research with real world applications from drug development to biotechnology, from cell biology to biochemistry using the latest technologies in genomics, proteomics and metabolomics.
- Study and live with students from over 120 nations and enhance your personal and intercultural skills.
Program overview
The MSc Quantitative Life Science program will integrate state-of-the-art experimental interdisciplinary research at the Life Science/Chemistry interface with cutting-edge computational methods and digital tools.
This program offers a unique blend of Biosciences, Chemistry, and Data Science for Life Sciences in the age of AI and the big data revolution. Students benefit from close contact with faculty and early exposure to real-life research through lab rotations. By engaging with established researchers and having opportunities to publish original research papers, students develope their unique research profile and standing.
The program boasts a strong faculty across diverse fields and includes soft skill courses in science communication and commercialization to prepare students for leadership roles in academia and industry.
