Are you curious about how to design new drugs with optimal affinity for pharmaceutical targets? Want to know more about how predictive modelling can be used to understand and control how drugs are absorbed by, distributed in and eliminated from the human body? Modelling techniques are increasingly used in all aspects of drug discovery, development and usage. The Master's programme in Pharmaceutical Modelling provides an insight into this exciting area.
Why this programme?
The Master's 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 on the practical application of modelling techniques, and on the communication of modelling results outside and within the discipline. Examples of modelling techniques include computational chemistry, modelling of clinical and preclinical data, machine learning, bioinformatics and basic programming skills.
You will gain competences and skills needed for a career in modelling in the pharmaceutical industry, biotech companies, in government agencies or for further PhD studies.
The programme leads to a Master of Pharmaceutical Science (120 credits) with Drug Discovery and Development as the main field of study.
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 and is worth 120 credits. 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 semesters provide 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 elective 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 the pharmaceutical or biotech industry.
Courses within the programme
Semester 1: Drug Discovery and Development 7.5 credits Biopharmaceutics 7.5 credits Introduction to Programming in Python and R for Biosciences 7.5 credits Preclinical and Clinical Data Analysis in Predictive Drug Discovery/Development 7.5 credits.
Semester 2: Pharmaceutical Bioinformatics with Sequence Analysis 7.5 credits Computational Medicinal Chemistry 7.5 credits Advanced Molecular Modelling Applied to Drug Discovery 7.5 credits Clinical Pharmacokinetics and Pharmacodynamics 7.5 credits
Semester 3: Molecular Physical Pharmacy 7.5 credits Models for Biological Systems 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 fields, and teaching subjects will cover research topics of current importance. Practical exercise sessions are often connected directly to ongoing research in different labs, or from recent scientific literature.
The programme is given entirely in English. Mandatory parts are stated in the course syllabus.
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 qualification that opens doors to both academic research and a career in the pharmaceutical industry, both in Sweden and internationally.
Rapid developments in the fields of drug discovery, development and usage, with increasing amounts of data and increasing costs 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.
Career support During your whole time as a student UU Careers offers you support and guidance. You have the opportunity to partake in a variety of career activities and events, as well as receive individual career counselling. This service is free of charge for all students at Uppsala University. Read more about UU Careers.
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 that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6"). This can be done in a number of ways, including through an internationally recognised test such as TOEFL or IELTS, or through previous upper secondary (high school) or university studies. The minimum test scores are:
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
a total appraisal of quantity and quality of previous university studies; and
a statement of purpose (1 page).
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. Fees cover application and tuition only and do not cover accommodation, academic literature or the general cost of living. Read more about fees.
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