Faculty of Medicine

Degree Programs

Master in Artificial Intelligence in Medicine

The MSc in Artificial Intelligence in Medicine (AIM) at University of Bern is a unique, end-to-end program that provides an excellent and innovative educational scheme to train experts in the domain. Lectures extend from topics encompassing artificial intelligence, machine learning, and deep learning to their practical applications in the medical field. Additionally, the curriculum includes courses related to medical and clinical practice, offering students valuable insights into the daily operations of this field and guiding them on effectively integrating AI into the medical domain. Students acquire a solid background in AI and knowledge of the most advanced techniques in the field. They apply their skills to design, develop and evaluate intelligent systems across the medical and clinical lifecycle.

By working closely with physicians from Bern University Hospital (Inselspital) and internationally acknowledged researchers in AI, students experience the benefits of AI, current challenges in medicine, and identify how AI can provide intelligent solutions to open or tackle underexplored areas of clinical practice. The MSc program trains the next generation AI work-force, capable of driving entrepreneurial, technical and practical innovation for tomorrow’s healthcare.

The master's thesis allows students to deepen their expertise in a selected field, readying students of further academic programs or industry.

Want to learn more about the program? Please visit the program’s website.

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Basic information
Degree: Master of Science in Artificial Intelligence in Medicine, University of Bern (M Sc AIM)
Number of credits: 120 ECTS credits
Degree programs: Mono 120 ECTS credits
Duration: 4 semesters
Language: English
Beginning studies: Fall semester

Details of program

The MSc Artificial Intelligence in Medicine (AIM) is an interdisciplinary, two-year, full-time master's program in English.

It is affiliated with both the ARTORG Center for Biomedical Engineering Research (ARTORG) and the Center for Artificial Intelligence in Medicine (CAIM).  

Over the duration of the program the students will gain a solid background in artificial intelligence and knowledge of the most advanced techniques in the field. Representative list of topics:

  • Machine Learning
  • Artificial intelligence
  • Deep Learning 
  • Reinforcement Learning

In parallel, the program familiarizes the students with basic concepts of biology and medicine and provides consolidated core biological, medical and clinical knowledge. During a period of two semesters, regular visits to the hospitals of the Insel Group will encourage the students to dive deeply into clinical procedures and medical routines, in order to identify the processes and procedures that may benefit from AI.

The MSc project (4th semester) will be conducted in collaboration with world-famous physicians from Bern University Hospital (Inselspital), internationally acknowledged researchers in the field of AI from the University of Bern and leading Swiss and international companies.

More detailed information about the program and our research groups can be found on the ARTORG and CAIM websites. You can find us on Instagram and Youtube clicking on the icons below.

Scheme of program

The MSc Artificial Intelligence in Medicine consists of 120 ECTS credit points.

Students get awarded 88 ECTS credit points by completing mandatory courses, 12 ECTS credit points by completing elective courses and 30 ECTS credit points for their master's thesis.

It is a two-year, full-time master's program in English.

Structure of Study Plan

For more information visit the website of the Center for Artificial Intelligence in Medicine.

Requirements

Individual academic requirements

The following academic qualifications are required for admission to the specialized master’s degree program in Artificial Intelligence in Medicine (mono):

a)

Bachelor's degree from a Swiss university or a Swiss university of applied sciences, minimum grade point average 4.5 and a demonstration of the candidate’s suitability for study through a standardized interview, only in one of the following branches or fields of studies:

  • Biomedicine / Biomedical Sciences
  • Electrical Engineering
  • Computer Science
  • Mechanical Engineering
  • Mathematics
  • Physics
b) The equivalence of foreign degrees is verified by the dean. Students may be admitted, provided that additional requirements of a maximum of 60 ECTS will be enough to ensure that the study programme can be successfully completed.
c) Bachelor of Science or equivalent degree from a foreign university. Admission may depend upon evidence of additional knowledge and expertise.

If more than five years have passed since the completion of the bachelor degree, the contents of the previous study programme will be checked against the current requirements. Additional requirements may have to be fulfilled for admission. Students may be admitted, provided that additional requirements of a maximum of 60 ECTS will be enough to ensure that the study programme can be successfully completed.

Language requirements

Applicants with a foreign educational background must present a language test certificate at level C1 of the Common European Framework of Reference with a corresponding minimum score at the time of application, namely a Cambridge certificate, a valid TOEFL or IELTS test. TOEFL, IELTS or C1 Advanced certificates must not be older than two years at the time of application; a C2 Proficiency certificate must not be older than five years. Certifcates older than this will not be accepted.

Language certificate Minimum score
TOEFL iBT 100
IELTS Academic 7.0
C1 Advanced (CAE) Grade C
C2 Proficiency (CAE) pass

Dispensations from the English test are possible for students who completed their studies in a place where English is the principal spoken language.

Application and Admission

Application and Admission

Admission requirements
Application deadlines

Current UniBE students

Apply for a change to the Master of Science in Artificial Intelligence in Medicine with the re-registration form
Renewal of semester registration → Self-service
Procedure and timing of the renewal of semester registration

Application with a Swiss degree

Online application
Assessment
CHECKLIST - Documents for your application
Steps from application to registration

Application with an international degree

Online application
CHECKLIST - Documents for your application / Important information
Steps from application to registration

For questions regarding application and admission, please contact the Admissions Office.

After your masters'

The career opportunities for our graduates are excellent. Broad-based strategies for lifelong learning and key skills for a new generation of AI experts enable our successful graduates to participate in advanced academic programs (PhD), provide access to work in research or an industry career. All institutions participating in the Master's program are highly networked with the Inselspital (Bern University Hospital) and industry. And at the ARTORG Center, entrepreneurship is a top priority, as evidenced by the impressive number of successful spin-offs. 

For more information visit the website of the Center for Artificial Intelligence in Medicine.