Studying virtually at the University of Helsinki
Modules
Engineering of Machine Learning Systems (5 ECTS)
This MOOC introduces the engineering of machine learning systems, focusing on MLOps, workflows and deployment. Students learn how to design, build and manage ML pipelines, including data management, testing, deployment and monitoring. By the end of the course, they are able to apply MLOps principles to real-world machine learning systems.
Term offered: Autumn Term 2026
Teaching: in English, Synchronous – students must attend live sessions at scheduled times
Assessment format: No exam. Weekly exercises / project; experiment; learning diary. Graded
Detailed module description on University of Helsinki homepage
MOOC: Computational Affective Modelling (2+3 ECTS)
This module introduces computational models of human affect, such as emotions and mental states, using concepts from artificial intelligence. Students explore how learning, uncertainty and cognitive processes relate to human behaviour and well-being. By the end of the course, they understand how AI-based models can be used to analyse and interpret affective phenomena.
Term offered: Autumn Term 2026 or Spring Term 2027
Teaching: in English, Asynchronous – students can follow the course content independently and flexibly, without needing to attend live sessions
Assessment format: Exercises and an on-site exam, graded pass/fail
Detailed module description on University of Helsinki homepage
MOOC: AI in Society (2–3 ECTS)
This MOOC will give students 1. a basic understanding of various ethical and social aspects of AI, at the levels of social interaction and society as a whole 2. a necessary conceptual framework and cognitive tools to position AI applications in their social contexts and to assess their societal impact 3. an awareness and the ability to prevent potentially unwanted consequences and make deliberate choices in value-laden contexts while developing AI applications.
This MOOC was co-developed by: University of Edinburgh, University of Helsinki, Complutense University of Madrid, and Paris 1 Panthéon-Sorbonne University and is co-funded by the Erasmus+ Program of the European Union.
Term offered: Autumn Term 2026 or Spring Term 2027
Assessment format: Exercises and an on-site exam, graded pass/fail
Teaching: in English, Asynchronous – students can follow the course content independently and flexibly, without needing to attend live sessions
Detailed module description on University of Helsinki homepage
Everyone studying at one of the 11 Una Europa universities can take the MOOC AI in Society. However, only select degree programmes offer recognition for it. As part of the Una Europa Module Exchange, the MOOC includes a written exam at the end of the term.
Studying at UH: Important Dates
Autumn Term 2026 |
Spring Term 2027 |
|
| Application deadline: |
30. September 2026 |
TBA |
| Lectures are between: | 27. October 2026 and 14. December 2026 | TBA |
| Exam period or date: | 15-21. December 2026 (online, remote) | TBA |
| Your Transcript of Records will be issued by: | 15. February 2027 | 22. September 2027 |
Application Process Engineering of Machine Learning Systems (5 ECTS)
Step-by-Step Application Guide
- Start the application process by registering online using elsingin yliopisto/Helsingfors universitet's Mobility Online portal below. Click the "ISEP, NORDLYS, NORTH2NORTH.." banner in the upper right corner and then select the programme Tailor-made courses. You can then fill in the application form. If you do not see the application form, please check that you have clicked on the link in the upper right corner (do not use the menu).Link to the Mobility Online Portal
- When you have completed the application form, you will receive an email where you’ll find a link to your Mobility Online account where you must finalize your application. Follow the link.
- Complete your personal details and upload your current Transcript of Records from your home university to Mobility Online.
- Finally, click on the link "Confirm that you have uploaded all required documents."
You will receive emails during the application process. Please read them through to ensure that your application will be completed!
Application Process MOOC: AI in Society (2–3 ECTS)
Registration for the MOOC:
- Go to the MOOC online learning environment.
- Create a new account.
- Log in. When you are logged in, the MOOC follows and remembers your progress.
IMPORTANT: Please sign up for the MOOC using your university e-mail address.
Everyone studying at one of the 11 Una Europa universities can take the MOOC AI in Society. However, only select degree programmes offer recognition for it. As part of the Una Europa Module Exchange, the MOOC includes a written exam at the end of the term.