Artificial Intelligence in Drug Discovery, 7.5 credits
Academic year 2022/2023
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Autumn 2022, 50%, Distance learning
Start date: 29 August 2022
End date: 30 October 2022
Application deadline: 19 April 2022
Application code: UU-37315 Application
Language of instruction: English
Location: Flexible
Selection: Higher education credits (maximum 285 credits)
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 take place via the education platform and online meetings. Theoretical parts are intermixed with computer exercises and assignments.
Number of mandatory meetings on campus: 0
Number of voluntary meetings on campus: 0
Registration: 29 July 2022 – 29 September 2022
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Spring 2023, 50%, Distance learning
Start date: 16 January 2023
End date: 22 March 2023
Application deadline: 17 October 2022
Application code: UU-87315 Application
Language of instruction: English
Location: Flexible
Selection: Higher education credits (maximum 285 credits)
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 take place via the education platform and online meetings. Theoretical parts are intermixed with computer exercises and assignments.
Number of mandatory meetings on campus: 0
Number of voluntary meetings on campus: 0
Registration: 16 December 2022 – 16 February 2023
Entry requirements: For students within:
Master's Program in Drug Discovery and Development: admitted and complied prior courses within the program
The programme in Master of Science in Chemical Engineering: at least 150 credits within the programme is required, including knowledge corresponding to at least 60 credits in the subjects chemistry, biology, biochemistry, pharmaceutical science or medicine.
Freestanding course: at least 150 credits is required, including knowledge corresponding to at least 60 credits in the subjects chemistry, biology, biochemistry, pharmaceutical science or medicine. In addition: Knowledge corresponding to English 6 is required (this requirement is fulfilled with a Swedish bachelor degree).
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 or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester: SEK 18,125
Tuition fee, total: SEK 18,125
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.
More information
Contact
Department of Pharmaceutical Biosciences
Biomedicinskt centrum BMC, Husargatan 3
Box 591, 751 24 UPPSALA
Ola Spjuth, Professor
Email: ola.spjuth@farmbio.uu.se