Your Course
Semester 1
Students learn the fundamentals of pharmacology, toxicology and are introduced to computational drug-design, programming for biology and statistical computing in R.
Semester 2
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.
Semester 3
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.