CAS in Artificial Intelligence in Medical Imaging

The Certificate of Advanced Studies (CAS) in Artificial Intelligence (AI) in Medical Imaging equips medical professionals, engineers and scientists from life science related fields with the necessary knowledge and skills to translate medical problems to data science problems and hence to actively engage in the environment of digital healthcare.

During the program you will learn about the basic concepts of artificial intelligence (AI) algorithms, their applications and their integration into the clinical work process. By working on your individual AI project, you will gain practical knowledge on the fundamental concepts of Artificial Intelligence and will be enabled to judge the feasibility and adequacy of proposed AI solutions.

What to expect from this program?

• Increase your career prospects
• Gain expert insights from academia and industry
• Connect and exchange with peers and lecturers
• Acquire extensive knowledge and skills development in relevant topics
• Obtain a "Certificate of Advanced Studies" degree from a prestigious Swiss university
• Profit from small class sizes and flexibility of study formats

Who is the program for?

The program addresses medical professionals, engineers and scientists from life science related fields seeking comprehensive and practical knowledge on how to navigate the digital healthcare environment with AI-driven projects in medical imaging.

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 a study work performance of about 25-30 hours, including in-person events, preparatory tasks and all other course activities. The program is conceptualized as an extra-occupational program that can be reconciled with your professional work. The modules are taught in a blended learning environment and utilize e-learning, peer learning and interactive discussions with experts, on site lectures, workshops, and case studies. Small class sizes allow for large flexibility while at the same time permitting to profit from the lecturers’ expertise. 

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 12'600.–

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.