For applicants within: - The programme in Master of Science in Pharmacy: at least 150 credits within the programme including passed courses in pharmacokinetics 7.5 credits, pharmacology and physiology. Furthermore, registration at all earlier courses within the pharmacy program is required - The programme in Bachelor of Science in Pharmacy: at least 120 credits within the programme including passed courses in pharmacokinetics 7.5 credits, pharmacology and physiology. Furthermore, registration at all earlier courses within the pharmacy program is required - The programme in Master of Science in Chemical Engineering: at least 120 credits within the programme is required, and courses corresponding to Pharmacokinetics 7.5 credits, Physiology 6 credits and Pharmacology 7.5 credits - Master Programme in Drug Discovery and Development: admitted and complied prior courses within the program - Master Programme in Pharmaceutical Modelling: admitted and complied prior courses within the program - Acceptance to a single subject course requires a) basic qualification according to the higher education ordinance (150 credits), and b) knowledge corresponding to 60 credits within the subject Pharmacy, Pharmaceutical science or Pharmaceutical bioscience, including Pharmacokinetics 7.5 credits, and c) knowledge corresponding to Physiology 6 credits and Pharmacology 7.5 credits
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:
Tuition fee, total:
About the course
The goal of the course is to give an understanding of how pharmacokinetic (PK) and pharmacodynamic (PD) information can be applied in clinical drug development. In addition, the course will give you sufficient knowledge to be able to contribute to the planning, design and analysis of clinical studies, from a PK and PD perspective.
Teaching and training are given in data analysis, study design, simulations of clinical trials and oral presentation. The course also includes topics such as disease progression, drug effects on disease progression, and PD models that describe these processes. Software for data analysis and simulation of clinical trials and result presentations are applied during the course.