Introduction to Artificial Intelligence for Educators in the Natural Sciences
Course, Bachelor's level, 1FA043
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Flexible, 17%, Distance learning, English
- Location
- Flexible
- Pace of study
- 17%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
60 credits in science, mathematics, engineering. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 13,750
- Total tuition fee: SEK 13,750
- Application deadline
- 15 April 2026
- Application code
- UU-13051
Admitted or on the waiting list?
- Registration period
- 27 July 2026–30 August 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Flexible, 17%, Distance learning, English For exchange students
- Location
- Flexible
- Pace of study
- 17%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
60 credits in science, mathematics, engineering. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 27 July 2026–30 August 2026
- Information on registration from the department
About the course
Learn the fundamentals of AI and how the technology can be applied in education. This course provides an introduction to AI, machine learning, and large language models, tailored for educators without prior technical background.
Outline for distance course: Communication between students and teachers will be through the learning management system and other e-meeting tools. Access to a computer with a stable internet connection and camera is required.
Reading list
No reading list found.