Modelling is increasingly used in all aspects of drug discovery, development, and usage. The Master Programme in Pharmaceutical Modelling will provide you with knowledge to design new drug molecules with optimal affinity for pharmacological targets, to understand and control how drugs are absorbed, distributed and eliminated from the human body, to design and interpret clinical drug trials, and to optimally use drugs in the population.
Why this programme?
The Master Programme in Pharmaceutical Modelling will provide you with theoretical and practical knowledge of the use of advanced modelling techniques in the various disciplines of drug discovery, development and usage. A special focus is placed on the practical application of modelling techniques, and on the communication of modelling results outside and within the own discipline. The programme provides competences and skills needed for a career in modelling in the pharmaceutical industry, biotech companies, in government agencies or for further PhD studies.
A Master of Pharmaceutical Science with Drug Discovery and Development as the main field of study is obtained after you have completed course requirements of 120 credits including an independent degree project of at least 30 higher education credits.
Name: Pär Matsson, researcher and programme co-ordinator
Why did you start a master program?
Uppsala University's Faculty of Pharmacy has a strong position in the pharmaceutical modelling research disciplines. Computational modelling methodologies are increasingly being included in the faculty's different educational programs, but so far an advanced-level programme that bridges the many different disciplines within pharmaceutical modelling has not been available.
The broad take on computational approaches in the pharmaceutical fields is unique for this Master program, and the competences available at Uppsala University makes us perfectly situated to deliver such an education.
Which skills do this programme teach?
The Master Programme in Pharmaceutical Modelling will provide both theoretical and practical knowledge of how advanced modelling techniques are used in the various disciplines of drug discovery, development and usage. The programme will focus on the practical application of modelling techniques, and on the communication of modelling results outside and within the own discipline. The program provides competences and skills needed for a career in modelling in the pharmaceutical industry, biotech companies, in government agencies or for further PhD studies.
What do you think about the future within this field of science?
Modelling is increasingly used in all aspects of drug discovery, development, and usage to design new drug molecules with optimal affinity for pharmacological targets, to understand and control how drugs are absorbed, distributed and eliminated from the human body, to design and interpret clinical drug trials, and to optimally use drugs in the population. We therefore foresee an increased need for skilled practitioners of computational modelling techniques, that also have a firm knowledge of the drug discovery and development process.
In what way is Uppsala University leading within this field?
Uppsala University is renowned for research and education across the many aspects of drug discovery, development and usage. Researchers at Uppsala University have pioneered the use of computational methodology in research disciplines throughout the drug development process. Examples include the use of structure-property relationships to predict biopharmaceutical, pharmacologic, toxicologic and pharmacokinetic drug properties, the use of chemometric analyses to chart the chemical space of bioactive natural products, and pharmacometric modelling to design, optimise and evaluate clinical pharmacological studies.
The programme is taught full-time over four semesters. The first semester gives an overview of the drug discovery and development fields, and provides the tools needed for subsequent courses and future professional life. The second and third semester provides in-depth knowledge of various tools and modelling techniques used in the pharmaceutical sciences. At the end of the third semester, you will have the opportunity to specialise in the direction you desire by choosing courses. The fourth semester is given in the form of a degree project of 30 credits, that can be carried out at one of the research departments at the University, or externally at governmental agencies or within pharmaceutical or biotech industry.
Courses within the programme
Semester 1: Drug Discovery and Development 3FK029, 7.5 credits Biopharmaceutics 3FG820, 7.5 credits Introduction to Programming in Python and R for Biosciences 3FB617, 7.5 credits Preclinical and Clinical Data Analysis in Predictive Drug Discovery/Development 3FG890, 7.5 credits.
Semester 2: Pharmaceutical Bioinformatics 3FF575, 7.5 credits Computational Medicinal Chemistry 3FK119, 7.5 credits Advanced Molecular Modelling applied to Drug Discovery 3FK181, 7.5 credits Clinical Pharmacokinetics and Pharmacodynamics 3FB625, 7.5 credits
Semester 3: Health Economic Evaluations (coming) 7.5 credits Models for Biological Systems 3FB615, 7.5 credits Elective courses 15 credits
Semester 4: Degree Project/Thesis 30 credits
Theory and practice are interwoven into the courses, and instruction takes place in the form of lectures, computer exercises, seminars and projects. The lecturers are active researchers in their respective field, and teaching subjects will cover research topics of current importance.
The programme is given entirely in English. Compulsory parts correspond to each course start and those parts defined within the different courses.
Uppsala University has an excellent international reputation, and a Master's degree in Pharmaceutical Modelling from Uppsala University will provide you with an internationally recognised education that opens doors to both academic research and a career in industry, in Sweden and internationally.
Rapid developments in the fields of drug discovery, development and usage, with increasing amounts of data, and increasing costs of drug development and use, is leading to the implementation of diverse modelling approaches to analyse complex datasets, optimise workflows, and understand the complex and dynamic effects of pharmaceutical drugs. Competence within the various disciplines of pharmaceutical modelling is therefore expected to be increasingly valuable in industrial, governmental and academic settings alike.
Requirements: Academic requirements A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is 90 credits in chemistry, biology, pharmacy, or a similar field of study.
Language requirements All applicants need to verify English language proficiency. This is normally attested by an internationally recognised test such as TOEFL or IELTS with the following minimum scores:
IELTS: an overall mark of 6.5 and no section below 5.5
TOEFL: Paper-based: Score of 4.5 (scale 1–6) in written test and a total score of 575. Internet-based: Score of 20 (scale 0–30) in written test and a total score of 90