Students learn the fundamentals of pharmacology, toxicology and are introduced to computational drug-design, programming for biology and statistical computing in R.
Students consider more advanced concepts in toxicology and investigate controversial areas of toxicology. The students also learn to apply bioinformatic and cheminformatic tools to large data sets.
Students work independently with the guidance of an academic or industry-based thesis supervisor on a cheminformatics research project.
The course involves lectures, laboratory-based training, selfdirected learning and a three month independent research project. Competence is assessed through a mixture of written examinations, computer-based examinations, course work and a research thesis.
3 Good Reasons To Study This Course
1. This course trains you to work in the pharmaceutical industry and regulatory sector tasked and allows you to contribute to building a chemically safe society.
2. The course will provide you with the computational skills required to predict toxicity at a time when there are too few toxicologists with these skills.
3. Opportunities to develop professional relationships with our partners in industry and the European Food Safety Agency.