Artificial Intelligence in Drug Discovery, 7.5 credits

Academic year 2022/2023

  • 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

  • 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