Master in Artificial Intelligence in Medicine (AIM)

Program

Structure

1st Semester

Modules Artificial Intelligence, Medicine and Applications

In the first semester, students have to register for the following mandatory courses from the modules Artificial Intelligence, Medicine and Applications:

Artificial Intelligence (AI)
 Mandatory Courses
Artificial Intelligence in Medicine  5 ECTS
Machine Learning  5 ECTS
Medicine
 Mandatory Courses
Basics in Physiology  3 ECTS
Introduction to Clinics  4 ECTS
Applications
 Mandatory Courses
Computer Vision  5 ECTS
Introduction to Digital Signal Processing  3 ECTS

Module Foundation / Electives

The selection of courses from the module Foundation depends on the students' individual scientific background, from the module Electives on the students' interests.

The following list is a pool of suggested courses. Students may consider courses not found on the list. However, it is important that students satisfy all criteria. Please contact your mentor Professor Mougiakakou for an individual appointment. 

Foundation / Electives
 Non-Mandatory Courses / Pool of Courses

Foundation
Applied Biostatics with Practicals  4 ECTS
Applied Optimization  5 ECTS
HPC and Cloud Computing  1 ECTS
Introduction to Programming  2 ECTS
Linear Models and Regression I  9 ECTS
Numerical Methods
  5 ECTS
Statistical Forecast Evaluation (on hold)  3 ECTS

Electives
 none

2nd Semester

Modules Artificial Intelligence, Medicine and Applications

In the second semester, students have to register for the following mandatory courses from the modules Artificial Intelligence, Medicine and Applications:

Artificial Intelligence (AI)
 Mandatory Courses
Deep Learning  5 ECTS
Medicine
 Mandatory Courses
Clinical Implementations of AI  4 ECTS
Applications
 Mandatory Courses
Clinical Decision Support  2 ECTS
AI for Medical Time Series Data  3 ECTS

Module Foundation / Electives

The selection of courses from the module Foundation depends on the students' individual scientific background, from the module Electives on the students' interests.

The following list is a pool of suggested courses. Students may consider courses not found on the list. However, it is important that students satisfy all criteria. Please contact your mentor Professor Mougiakakou for an individual appointment. 

Foundation / Electives

Foundations
3D Geometry Processing  5 ECTS
Applied Biostatistics II. with Practicals  4 ECTS
C++ Programming I   3 ECTS
Cryptographic Protocols  5 ECTS
Distributed Algorithms (on hold)  5 ECTS
Ethical and Legal Issues  3 ECTS
Graph-based Pattern Recognition  5 ECTS
Introduction to Medical Statistics  3 ECTS
Internet of Things  5 ECTS
Network Security (on hold)  5 ECTS
Seminar Logic and Theoretical Computer Science  5 ECTS
Seminar Computer Graphics and Geometry Processing   5 ECTS

Electives
Bioinformatics  3 ECTS
Biomedical Sensors  3 ECTS
Clinical Epidemiology and Health Technology Assessment  2 ECTS
Computer-Assisted Surgery  3 ECTS
Fundamentals of Quality Management and Regulatory Affairs  4 ECTS
Genomics of Microorganisms  1.5 ECTS
Image-Guided Therapy Project  3 ECTS
Introduction Image Analysis  3 ECTS
Medical Robotics   3 ECTS
Microsystems Engineering  3 ECTS
Proteomics & Metabolomics (lecture and practicals)  5 ECTS
Regenerative Dentistry for Biomedical Engineering  2 ECTS
Rehabilitation Technology  3 ECTS
Wireless Communication for Medical Devices  3 ECTS

3rd Semester

Modules Artificial Intelligence, Medicine and Applications

In the third semester, students have to register for the following mandatory courses from the modules Artificial Intelligence, Medicine and Applications:

Artificial Intelligence (AI)
 Mandatory Courses
Reinforcement Learning   5 ECTS
Medicine
 Mandatory Courses
Clinical Implementations of AI II  4 ECTS
Omics for Non-Biologists  3 ECTS
Applications
 Mandatory Courses
Medical Image Analysis  3 ECTS
From NLP to LLMs  4 ECTS

Module Foundation / Electives

The selection of courses from the module Foundation depends on the students' individual scientific background, from the module Electives on the students' interests.

The following list is a pool of suggested courses. Students may consider courses not found on the list. However, it is important that students satisfy all criteria. Please contact your mentor Professor Mougiakakou for an individual appointment. 

Foundation / Electives

Foundations
Advanced Networking and Future Internet (on hold) 5 ECTS
C++ Programming II 3 ECTS
Computer Graphics 5 ECTS
HPC and Cloud Computing 1 ECTS
Linear Models and Regression I  9 ECTS
Medical Informatics 3 ECTS
Selected Chapters in Mathematics 2 ECTS
Seminar Cryptography and Data Security 5 ECTS
Seminar Logic and Theoretical Computer Science 5 ECTS
Seminar Machine Learning and Artificial Intelligence 5 ECTS
Statistical Forecast Evaluation (on hold)
 3 ECTS


Electives
Cardiovascular Technology 3 ECTS
Computer Graphics & Geometry Processing 5 ECTS
Digital Sustainability 1 ECTS
General Pathology and Histology 4.5 ECTS
Innovation Management 2 ECTS
Intelligent Implants and Surgical Instruments 3 ECTS
Medical Image Analysis Lab 4 ECTS
Molecular Biology and Genetics for Non-Biologists (Lecture) 3 ECTS
Neurogenetics 3 ECTS
Neurotechnology  3 ECTS
Ophthalmic Technologies 3 ECTS
Programming of Microcontrollers 5 ECTS 
Data Driven Diabetes Management 3 ECTS
The Genetic Code 1.5 ECTS


4th Semester

The 4th semester is reserved for the master's thesis. You can find more information in the following link.

Study & Work

Most of our students study full-time and work at the same time. We support them and organize mandatory courses on three days of the week only.

Students who work may officially request to extend their studies to six semesters.

Interested in finding a job in the industry? Then the University of Bern is the place to be! There are around 280 medical technology manufacturers and suppliers in the canton of Bern and the sector is constantly growing, with the number of jobs in medical technology rising. (Source: Swiss Medtech (Network) Bern Economic Development Agency)

Our 12 different research groups at the ARTORG Center offer part-time jobs to excellent students. If you are interested please contact us after you have been accepted into our master's program.

 

 

Preparation Week

Do you want to brush up on your maths before the start of the program?

The preparation week provides an opportunity for high-achieving and ambitious students to work on their skills and be prepared for the master's program Artificial Intelligence in Medicine at the University of Bern.

By combining theoretical lectures on linear algebra, optimization and probability with a rich array of practical exercises in Python, MSc AIM's fall session will successfully prepare you for the new and exciting challenges!

09 - 13 September 2024

  • Monday, 09 Sep at ARTORG Center, Murtenstrasse 50, F502
    • Linear Algebra 1 (Mougiakakou) - Theory: 9-12; Exercises: 14-17
  • Tuesday, 10 Sep at ARTORG Center, Murtenstrasse 50, F502
    • Linear Algebra 2 (Mougiakakou) - Theory: 9-12; Exercises: 14-17
  • Wednesday, 11 Sep at ARTORG Center, Murtenstrasse 50, F502
    • Probability 1 (Sznitman) - Theory: 9-12; Exercises: 14-17
  • Thursday, 12 Sep at ARTORG Center, Murtenstrasse 50, F502
    • Probability 2 (Sznitman) - Theory: 9-12; Exercises: 14-17
  • Friday, 13 Sep at ARTORG Center, Murtenstrasse 50, F502
    • Optimization (Neila)  - Theory: 8-11; Exercises: 14-17
    • Welcome and Information Event 11-11.45
    • Sandwich Lunch for all students enrolled in the MSc AIM 11.45 - 12.30