Master’s Programme in AI for Health (MSc)
Stockholm University, Department of Computer and System Sciences (DSV)
SEK 135,000 / per year *
31 Jan 2025
Earliest start date
25 Aug 2025
* citizens from outside EU, EEA or Switzerland first instalment: 67500 SEK.
Artificial intelligence, AI, has many important applications in health, medicine, and care. One example is the improved diagnosis of diseases. AI can also provide treatment recommendations for cancer patients and detect and prevent medication side effects. Furthermore, it can be used to identify early factors and predictors of sepsis in intensive care patients.
In this program, we cover the fundamentals of AI and data science, including areas such as data mining, machine learning, reinforcement learning and natural language processing. We also address important aspects of ethics in AI. You will also gain basic knowledge in health, the emergence of diseases and how AI and other methods can be used to discover biological causes of illnesses.
The department has collaboration agreements within this area with the two universities:
- AMU Aix-Marseille University, France, and
- UNIPI Università di Pisa, Italy.
There is a possibility to take the second year of the program at one of these two universities. Doing so will give you a double degree from Stockholm and either Marseille or Pisa. In that case, you will deepen the parts within Health during your second year. This opportunity will be available for some students and you can apply when you have started the program.
Scholarships and Funding
Information regarding scholarships at Stockholm University in the link below:
More information about the programme
Duration: 2 years
Study form: On campus
Program Tuition Fee
Your profession after a degree from this programme may be working as a:
- Data scientist or machine learning scientist for designing, planning, implementing, and maintaining artificial intelligence and machine learning solutions against business requirements within healthcare.
- Developer of healthcare systems, electronic health record systems, decision support systems, health apps and more.
- Consultant for healthcare organisations, such as hospitals or pharmaceutical companies, as well as for insurance companies focused on healthcare.
- Researcher and developer in AI, health, data science, and more, within the academic world.
- Entrepreneur for those looking to start their own businesses.