Master in Artificial Intelligence in Medicine (AIM)

Master in Artificial Medicine

The master’s program aims to give graduates a solid understanding of the principles of artificial intelligence and machine learning, so that they can apply this knowledge to design, develop and evaluate intelligent systems across the medical and clinical lifecycle. The program will train the next generation of the AI work force, and enable them to drive entrepreneurial, technical and practical innovation for tomorrow’s healthcare.

The master’s program in Artificial Intelligence in Medicine (MSc AIM) is designed for graduated students with a degree in engineering, informatics, mathematics or physics.

Program

Modules Artificial Intelligence, Medicine and Applications

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

Artificial Intelligence (AI)
 Mandatory Courses
Artificial Intelligence  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 Signal Analysis  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
Numerical Methods  5 ECTS

Electives

 none

Modules Artificial Intelligence, Medicine and Applications

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

Artificial Intelligence (AI)
 Mandatory Courses
Deep Learning  5 ECTS
 Machine Learning II (from spring 23)  4 ECTS
Medicine
 Mandatory Courses
Clinical Implementations in 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
Non-Mandatory Courses / Pool of Courses 

Foundations

Introduction to Medical Statistics 3 ECTS
 Internet of Things  5 ECTS
Applied Biostatistics II. with Practicals  4 ECTS
Control Theory  3 ECTS
 Programming Languages  5 ECTS
 3D Geometry Processing  5 ECTS
 Cryptographic Protocols  5 ECTS
 Seminar Logic and Theoretical Computer Science  5 ECTS
 Seminar Machine Learning and Artificial Intelligence  5 ECTS

Electives

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

Modules Artificial Intelligence, Medicine and Applications

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

Artificial Intelligence (AI)
 Mandatory Courses
 Reinforcement Learning  5 ECTS
Medicine
 Mandatory Courses
Clinical Implementations in AI II  4 ECTS
Omics - from Genomes to Metabolomes  3 ECTS
Applications
 Mandatory Courses
Medical Image Analysis  3 ECTS
Natural Language Processing  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
 Non-Mandatory Courses / Pool of Courses 

Foundations

Seminar Machine Learning and Artificial Intelligence  5 ECTS
 Medical Informatics  3 ECTS
 Advanced Chapters in Mathematics  2 ECTS
Advanced Networking and Future Internet
 5 ECTS
Computer Graphics
 5 ECTS
C++ Programming II
 3 ECTS
Software Modeling and Analysis  5 ECTS
Seminar Logic and Theoretical Computer Science  5 ECTS
HPC and Cloud computing  1 ECTS

Electives

Innovation Management
 2 ECTS
The Genetic Code
1.5 ECTS
Medical Image Analysis Lab
 4 ECTS
Cardiovascular Technology
 3 ECTS
Intelligent Implants and Surgical Instruments
 3 ECTS
Ophthalmic Technologies
 3 ECTS
Programming of Microcontrollers
 5 ECTS
Rehabilitation Technology II   3 ECTS
Technology and Diabetes Management
 3 ECTS
Evolutionary Genomics
 3 ECTS
General Pathology and Histology
 4.5 ECTS
Neurogenetic
 3 ECTS
Molecular Biology and Genetics for Non-Biologists (Lecture)
 3 ECTS
Digital Sustainability
 5 ECTS
Precision Medicine
 1.5 ECTS

The 4th semester is reserved for the master's thesis.

Application Timeline

 Deadlines  Dates
 Regular registration   April 30
 Late registration  August 31
 Notification of acceptance for regular registrations  by June 1
 Start fall semester  September 20, 2021

Registration and Application

Applications with a Swiss degree

You hold or will soon hold a BSc degree from a Swiss University, and wish to apply for the  MSc in Artificial Intelligence in Medicine program. Your application encompasses the following steps:

Applications with an international degree

You hold or will soon hold a diploma / BSc degree from an international university, and wish to apply for the MSc in Artificial Intelligence in Medicine program. Your application encompasses the following steps: