Clinical research relies on critical thinking to advance evidence-based healthcare that ultimately improves patient outcomes. The CAS in Clinical Research equips clinicians, health professionals, researchers, and life sciences professionals with the knowledge and practical skills they need to design, conduct, analyse, and appraise clinical studies. The programme cycle covers observational studies, randomised clinical trials, systematic reviews and meta-analyses, and prognostic research. Elective modules include qualitative health research, participatory research in clinical care, and sex and gender in health research. The programme provides participants with in-depth training in biostatistics and R programming, science communication, and securing research funding. Modules are fully interactive and taught by world-class expert researchers. Graduates will have the expertise to turn their clinical questions into high-quality research projects and generate evidence that will inform decision-making in healthcare.
Overview
| Degree | «Certificate of Advanced Studies (CAS) in Clinical Research in Health Care Organisations» (15 ECTS) |
| Next start | February 2027 |
| Duration | 2 years (8 basic modules of 3 days each, 3 elective modules of 3 days each) |
| Location | Bern |
| Language | English |
| Course fees | CHF 10’000.– |
Information Session: CAS Clinical Research in Health Care Organizations
Interested in the CAS Clinical Research in Health Care Organizations? Join us for our online information session.
📅 Date: Monday, 19 October 2026
🕓 Time: 4:00 PM (CEST)
💻 Location: via Zoom
This is a great opportunity to learn more about the program, its modules, and the admission process – and to ask any questions you may have.
For the Zoom link or further information, please contact: casclinresearch.ispm@unibe.ch
Admission
Admission Requirements for this CAS:
- A university degree or Bachelor’s in health from a University of Applied Sciences, or any equivalent degree/qualification.
- Written approval from the hierarchy if conducted during working hours
- Proficiency in English
- Basic computer literacy
- Prior knowledge of biostatistics and/or programming is helpful but not essential
Admission by file review (CV, motivation letter, copies of degrees, and employer’s written agreement), interview may be required.