DSH Teaching at Tampere University
The Decision Support for Health group provides education for the Health Technology and Informatics area. Our courses are mostly aimed at Master’s degree students. They are linked to the following study modules at Tampere University:
- Biolääketieteen tekniikan aineopinnot 55 ECTS (Bioteknologian ja biolääketieteen tekniikan kandidaattiohjelma)
- Health Technology and Informatics, 30 ECTS / 50 ECTS (Bioteknologian ja biolääketieteen tekniikan kandidaattiohjelma, Master’s degree in Biomedical Sciences and Engineering)
- Health Informatics, Intermediate studies as elective studies 25 ECTS
In the academic year 2024-2025, a new major, Biomedical Informatics, was started. It combines strengths of Health Informatics and Bioinformatics disciplines. It is a co-operation with the Biomedical Technology MSc. programme.
Courses are mainly held at the Hervanta campus. We offer a basic track to health informatics, and a number of specialised courses related to health informatics and biomedical signal processing. Courses that we teach are (contact person in the parentheses):
- Health Care Processes and Information Systems (Milla Juutinen)
- Introduction to Biomedical Informatics (Milla Juutinen in co-operation with Juha Kesseli)
- Standards, Interoperability, and Regulations in Health Informatics (Alpo Värri)
- Health Software Development Project (Milla Juutinen)
- Processing of Biosignals (Milla Juutinen)
- Decision Support in Healthcare (Mark van Gils)
- Behavioral Health Informatics (Mark van Gils)
- Doctoral Seminar in Digital Healthcare Technologies (Mark van Gils) [not in 2026]
An overview of the ongoing (2026-2027) courses can be found here.
In addition, we work in collaboration at the Health and Assistive Technology (HeAT) laboratory. The HeAT laboratory is linked to both teaching and research activities. If you want to visit, or hear more about the HeAT lab, contact Milla Juutinen, milla.juutinen(at)tuni.fi.
Student projects & Thesis topics
Are you looking for a topic for your Bachelor’s or Master’s Thesis, or perhaps an experimental topic for the research project courses? Please contact us for finding out more about the current topics that could be suitable for you!
Examples of ongoing and/or previous projects:
- AI/ML for prediction of adverse events in cardiac diseases
- AI/ML for earlier prediction of drop-outs in use of mobile health apps
- Requirements specifications for LLMs’ use in healthcare report generation
- Trustworthy AI assessment in federated machine learning
- Large Language Models in Healthcare Decision Support
- Exploration of Time-Series Language Models for Biomedical Signal Processing
- Machine Learning methods for prediction of rupture of aneurysms
- Differences in HRV during workdays and freetime
- Usability of mobile health applications
- Prediction of patient flow in the emergency department with explainable AI