CAS in Artificial Intelligence in Medical Imaging

School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School)

The Certificate of Advanced Studies in Artificial Intelligence in Medical Imaging (CAS AIMI) offers a hands-on, application-focused introduction to Artificial Intelligence (AI) in the field of medical imaging. Designed specifically for professionals without relevant technical background, it provides the foundational understanding and practical skills needed to critically assess, use, and contribute to AI solutions in clinical and research environments. Through real-world case studies and guided exercises, participants will learn how AI is transforming diagnostic imaging and healthcare delivery.

💬 Book a private call with our school Team to learn more about our program and ask individual questions.

CAS Artificial Intelligence Medical Imaging
Summary
Degree Certificate of Advanced Studies in Artificial Intelligence in Medical Imaging AIMI University of Bern (CAS AIMI Unibe)
Start 2026
Length 2 Semester
Scope 15 ECTS
Cycle Annual
Flexible entry possible Yes
Single module visitable Yes
Place sitem-insel, Freiburgstrasse 3, 3010 Bern, Switzerland
Language English
Admission Min. Bachelor's degree from a university or university of applied sciences in the fields of medicine, natural sciences, engineering. “Sur dossier” admissions possible.
Registration until 2025/12/15
Cost CHF 10'080.-
Special Offer Upon request
Organising institutions School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School)
Registration

   

  

The CAS AIMI is a one-year continuing education program that provides participants with hands-on experience in the development, use, and evaluation of AI algorithms across various medical imaging domains. Throughout the program, participants will work on an individual AI project, allowing them to apply their learning to real-world scenarios and assess the feasibility and relevance of proposed AI solutions within their professional context.

Designed as an extra-occupational program, the CAS AIMI is structured to fit alongside professional commitments, with regular in-person course sessions that also offer valuable networking opportunities to build and strengthen connections within the field.

What to expect from this program?

  • Recognized: Gain an academic certificate from a prestigious University enabling you to take on leadership roles in your professional environment
  • Applicable and relevant: Directly apply the acquired knowledge and skills to your daily work environment
  • Network: Connect and exchange with peers and faculties from academia, industry and clinics
  • Interdisciplinary: Learn from experts in different domains of medical imaging
  • Personalized: Profit from small class sizes and flexibility of study formats

Who is the program for?

This course is designed for healthcare professionals, including physicians, nurses, outpatient and emergency care providers, as well as participants from other life science-related fields, who want to deepen their understanding in the development and application of AI in their work environment. It is also well-suited for researchers with a professional connection to healthcare, such as biologists working in the pharmaceutical industry.

The CAS AIMI comprises at least 15 ECTS credits, which are earned by completing five modules and an individual AI project including presentation. One ECTS equals an estimated study work performance of about 25-30 hours, including in-person events, preparatory tasks and all other course activities. The modules are taught in a blended learning environment:

  • In-person courses: approximately two full days per month, usually scheduled on weekdays in Bern. If physical attendance is not possible, please contact the team to discuss the option of online participation.
  • Virtual classes: occasional short online meetings of a duration of 1.5h
  • Self-study activities: weekly activities and learning tasks, such as readings, quizzes, team works, case studies, report submissions, etc.

Small class sizes allow for large flexibility while at the same time permitting to profit from peer learning and interactive discussion with lecturing experts.

After successful participations, the University of Bern awards the Certificate of Advanced Studies in Artificial Intelligence in Medical Imaging

Swiss Institute for Translational and Entrepreneurial Medicine (sitem-insel)

sitem-insel is the Swiss Institute for Translational and Entrepreneurial Medicine. It is located on the Insel Campus Bern and benefits from its proximity to Switzerland's largest university hospital (Inselspital) as well as the University of Bern. At sitem-insel, a wide variety of units from clinics, industry, research, and education are networked under one roof, driving innovation for the benefit of patients. Our mission is to establish, operate and develop a National Center of Excellence for Translational Medicine that professionalizes translational research for the benefit of patients, society, and science. An onsite cutting-edge 20,000 m2 facility is the sitem-insel catalyst for a multidisciplinary collaborative approach to unlocking ‘bench to bedside’ innovation. 

 

Bringing Innovation to the Patient – by Connecting People.

How to get a research idea from bench to bedside? 
Together with you, we are committed to bridging the gap between clinical practice, research, entrepreneurship and regulation.

Medical Faculty of the University of Bern

Our education programs in translational medicine, biomedical entrepreneurship, regulatory affairs and artificial intelligence are offered under the umbrella of the Medical Faculty of the University of Bern. 
The Medical Faculty is known for an excellent curriculum in human and dental medicine, and also offers an attractive and high-quality range of training and continuing education in the field of health and medicine. With several institutes and clinics in various disciplines, it has excellent, internationally recognized research performance. It also conducts cutting-edge research in artificial intelligence for medicine and provides access to data science for all research groups. 

Experts from industry and academia

Our experts from academia, industry and regulatory authorities, carry the teaching responsibility and support us in educating healthcare and regulatory specialists, bridging knowledge gaps, and advancing professional careers. They combine deep theoretical knowledge from their innovative research, with the latest practical insights from their extensive work with industry.

Admission requirements

Applicants must hold at least a Bachelor's degree from a university or university of applied sciences in the fields of medicine, pharmacy, natural sciences, engineering or IT related disciplines. Professional experience is not mandatory. If the applicant has no prior academic degree or professional experience, the study commission may define further conditions for the applicant to successfully complete the course.

Admission process

Please submit your complete application including all required attachments via the registration form. Extensions of application deadlines may be granted by the Directorate.
Once we have received your application, we will gladly evaluate your documents and get back to you within a few working days. Upon successful registration, you will get a Campus Account from the University of Bern, which allows access to the student area of the University websites, the University´s WLAN network (eduroam), the use of library databases and of e-journals. MAS students will also receive a UNICARD and have access to sports, childcare and counselling facilities offered by the University of Bern.

Deadlines

Application for spring term: December 15
Standalone modules can be admitted anytime, provided places are still available. 
The Directorate may grant exceptions on the above deadlines. 

Tuition fees & installments

Certificate of Advanced Studies (CAS): CHF 10'080.–

The full study fee can be paid in full at once or in installments per semester.
There is no entitlement to a refund or waiver of the course fees if parts of the course are not attended. Costs for travel, accommodation and catering are not included. Insurance is in the sole responsibility of participants (accident, travel, cancellation, etc.).
Withdrawal of the registration before the registration deadline is possible without cost consequences. In case of withdrawal after the registration deadline, the full course fee must be paid.

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