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 to the program including passed course in pharmacokinetics - 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 course deals with computer models for biological systems that are important in a drug development context. Specifically, the focus is on models for clinical pharmacokinetic and pharmacodynamic data, however, the course will also include models of systems that are of importance for preclinical research in the pharmaceutical field. Evaluation of modelling results is an important part of the course.
The course will also illustrate the use of the models for addressing scientific issues and aspects of study design. Technical, mathematical and statistical aspects on model fitting and non-linear regression form an integral part of the course.