Course summary
Our MSc Model-based Drug Development course provides the knowledge and skills in pharmacokinetics and pharmacodynamics for making evidence-based decisions at various stages of drug development. It is perfect for students who want to avoid lab work but stay in science. You will develop your mathmatical modelling skills, there are no laboratory or animal-based components. Bioinformatics and molecular modelling are also not part of the course. It covers the scientific and regulatory aspects of evaluating a drug, with emphasis on the use of mathematical modelling and simulation methods. You will learn why these methods are so highly valued by industry and regulatory authorities as effective, cost-saving, decision-making tools. Learning is reinforced via application of modelling and simulation skills to real pharmacokinetic and pharmacodynamic data. The course has been developed with an emphasis on mechanistic approaches to assessing and predicting pharmacokinetics and pharmacodynamics (PKPD), such as physiologically-based pharmacokinetics (PBPK). As this comes under the general umbrella of systems biology, you will be able to apply your knowledge of modelling and simulation in various areas of research within the pharmaceutical industry. Full-time students benefit from immersion in the varied biomedical research environment at The University of Manchester, including interaction with research staff at the renowned Centre for Applied Pharmacokinetic Research. Alternatively, part-time students already working in the pharmaceutical industry can take advantage of the flexible, distance learning mode of the course, which allows you to fit study around other commitments.
Entry requirements
We require an UG honours degree (minimum Lower Second or equivalent) from a reputable internationally-recognised institution in: Pharmaceutical sciences and other health sciences related degrees; Biomedical sciences; Pharmacology; Chemistry; Engineering; Mathematics; Statistics. Priority will be given to students with the strongest grades from high-ranking institutions. We expect successful applicants to demonstrate: Interest and basic understanding of pharmacokinetics and pharmacodynamic concepts; Numerical ability; Prior experience and/or evidenced interest in use of relevant scientific programming languages.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
For the latest scholarship and bursary information please visit the fees and funding page.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL