Drug Discovery with Artificial Intelligence University of Liverpool

Overview

The masters in Drug Discovery with AI course aims to provide students with comprehensive knowledge and practical skills in the field of drug discovery and AI. The course will cover various aspects, including medicinal chemistry, pharmacology, molecular biology, bioinformatics and the utility of artificial intelligence, and drug development. This will equip graduates for careers in pharmaceutical research and development, who wish to do this either through direct entry into industry or as a pathway to a PhD.

The degree will culminate in a collaborative research project giving students a real taste of the multidisciplinary drug discovery process enabled by significant input from our industrial partners. This masters in Drug Discovery with AI is designed to provide a holistic and practical education that prepares students for a successful career in the dynamic field of drug discovery. You will be taught by two world leading departments, Pharmacology and Therapeutics and the department of Chemistry. Both departments are ranked top 40 in the world and have been recognized with the Queen’s Prize for their sector leading teaching and research. This programme will be taught through multiple delivery modes (lectures, tutorials, workshops, group work, practical work) with active learning being central to its delivery.

What you'll learn

• To develop students understanding of the roles of medicinal chemistry, pharmacology and AI in drug discovery.
• Instil in students a sense of enthusiasm for drug discovery and AI, an appreciation of its application in different contexts and to involve them in an intellectually stimulating and satisfying experience of learning and studying.
• Provide students with a broad and balanced foundation of drug discovery and AI knowledge, computational and practical skills.
• To develop in students the ability to apply their knowledge and skills to the solution of theoretical and practical problems within drug discovery.
• To develop in students, a range of transferable skills, of value in pharmaceutical and non-pharmaceutical employment.
• To provide students with a knowledge and skills base from which they can proceed to further studies in drug discovery and AI or other multi-disciplinary areas within drug development.
• To generate in students an appreciation of the importance of pharmacology, drug discovery and AI in an industrial, economic, environmental and social context.​