Preclinical and Clinical Data Analysis in Predictive Drug Discovery/Development
7.5 credits
Course, Master's level, 3FG289
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025
Autumn 2025,
Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 December 2025–18 January 2026
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits from courses in biomedicine, pharmaceutical sciences and/or natural sciences/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 18,125
- Total tuition fee: SEK 18,125
- Application deadline
- 15 April 2025
- Application code
- UU-39010
Admitted or on the waiting list?
- Registration period
- 26 November 2025–2 December 2025
- Information on registration from the department
About the course
The course covers the use of statistical methods to analyse and model chemical and biological data in drug discovery and development. By applying the methods discussed to relevant cases, the students will gain hands-on experience in statistical methods and software.