Artificial Intelligence in Drug Discovery
Course, Master's level, 3FF036
Expand the information below to show details on how to apply and entry requirements.
Spring 2026 Spring 2026, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Daytime
- Study period
- 19 January 2026–24 March 2026
- Language of instruction
- English
- Entry requirements
-
150 credits including knowledge corresponding to at least 60 credits in the subjects chemistry, biology, biochemistry, pharmaceutical science or medicine. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits (maximum 285 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 18,125
- Total tuition fee: SEK 18,125
- Application deadline
- 15 October 2025
- Application code
- UU-87315
Admitted or on the waiting list?
- Registration period
- 5 January 2026–19 February 2026
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Daytime
- Study period
- 31 August 2026–1 November 2026
- Language of instruction
- English
- Entry requirements
-
150 credits including knowledge corresponding to at least 60 credits in the subjects chemistry, biology, biochemistry, pharmaceutical science or medicine. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits (maximum 285 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 20,625
- Total tuition fee: SEK 20,625
- Application deadline
- 15 April 2026
- Application code
- UU-37315
Admitted or on the waiting list?
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Daytime
- Study period
- 18 January 2027–29 March 2027
- Language of instruction
- English
- Entry requirements
-
150 credits including knowledge corresponding to at least 60 credits in the subjects chemistry, biology, biochemistry, pharmaceutical science or medicine. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits (maximum 285 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 20,625
- Total tuition fee: SEK 20,625
- Application deadline
- 15 October 2026
- Application code
- UU-87315
Admitted or on the waiting list?
About the course
The course introduces methods for artificial intelligence and how it can help to solve problems in different parts of drug development. The course focuses on the use of methods and interpretation of results and does not require previous experience in programming.
Outline for distance course: The course is given in its entirety remotely via the internet with no on-site meetings, and access to a computer with an internet connection is mandatory. Instruction via self-studies where interaction with teachers and other students takes place via the education platform and online meetings. Flexible times for tasks. Theoretical parts are intermixed with computer exercises and assignments.
Reading list
No reading list found.