Clinical research is essential for advancing evidence-based healthcare, critical thinking and improving patient outcomes. The CAS in Clinical Research empowers clinicians, health professionals, researchers, pharmaceutical industry experts and graduate students with comprehensive knowledge and hands-on expertise. Participants will gain the practical skills needed to design, conduct, analyse, interpret and publish high-quality clinical studies, ensuring they can contribute meaningfully to advancing medical research. The CAS in Clinical Research covers clinical epidemiology, observational studies, randomised clinical trials, systematic reviews, meta-analyses and prognostic research, equipping participants with the theoretical foundations and practical tools to develop robust research protocols. Elective modules explore qualitative health research, participatory research in clinical care, and the role of sex and gender in research, allowing for tailored learning paths. The programme also provides in-depth training in biostatistics and R programming, along with science communication, and research funding strategies. Taught by experts researchers and teachers, the courses are fully interactive, fostering an engaging and collaborative learning environment. By the end of the programme, participants will have the expertise to transform clinical questions into high-quality, patient-centered research, generating evidence that directly informs healthcare decision-making.
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.– |
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 and employer’s written agreement), interview may be required.