Overview
The Oxford AI in Drug Discovery and Medicine Programme at the University of Oxford equips scientists, healthcare professionals and research and development specialists with practical knowledge of artificial intelligence in pharmaceutical research.
Delivered online over six weeks, the programme explores how AI can support drug target identification, therapeutic design, personalised medicine and the prediction of treatment safety and efficacy.
Why Study This Course?
Participants engage with practical assignments, expert-led learning and live workshops demonstrating industry tools such as MedChemica and Target Safety.
The course also addresses the ethical, legal and regulatory considerations associated with AI-driven drug development, preparing participants to implement emerging technologies responsibly in professional settings.
Programme Structure
Course include:
- AI and drug discovery
- Target selection and validation
- AI-powered therapeutics design
- AI for personalised medicine
- The in silico trial: Connecting therapeutics to patient
- Future directions and responsible AI
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Delivered
Campus Location
- Oxford, United Kingdom
Disciplines
Medicine Artificial Intelligence View 50 other Short Courses in Artificial Intelligence in United KingdomWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This programme is designed for technical and non-technical R&D professionals, scientists and clinician-researchers who want to learn how to adopt or oversee the implementation of computational AI tools in the drug R&D pipeline. This includes:- Professionals working directly in R&D who want to learn how AI is being used to accelerate drug discoveries
- Industrial and academic biologists and chemists who want to keep pace with how AI is reshaping research in their fields
- MDs, PharmDs and clinical development professionals who want to safely and efficiently close the gap between laboratory research and bedside patient care
Tuition Fees
-
International Applies to you
Applies to youNon-residents3252 GBP / full≈ 3252 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents3252 GBP / full≈ 3252 GBP / full