MSc Data Science for Drug Discovery

The future of drug discovery is data-driven, and this MSc places you at the intersection of computational innovation and biomedical science. As pharmaceutical research increasingly relies on AI, machine learning, and predictive modelling to accelerate the development of new medicines, employers are seeking scientists who can integrate digital tools with deep biological and chemical insight. This programme equips you with exactly those capabilities. At UEA, you’ll gain advanced training in data science, cheminformatics, bioinformatics and AI‑assisted molecular design, learning how to analyse complex chemical and biological datasets that underpin modern drug discovery. You’ll develop fluency in Python, statistics, machine learning, and data visualisation, whilst also building the ability to model molecular systems, predict properties, and identify promising drug targets in silico before they reach the lab. Drawing on the world-leading expertise of the Norwich Research Park, you’ll explore every stage of the drug discovery pipeline—from target identification and hit discovery, through optimisation, to understanding how medicines progress towards the market. Through interactive teaching, hands-on computational work, laboratory experience, and case-study-driven learning, you’ll develop both technical depth and practical insight.

IELTS 6.0 overall (minimum 5.5 in all components)

International students: £25,700 per year

UK students: £12,350 per year

UK/Home: £12,350 per year

International: £25,700 per year

September 2026

Rolling admissions - apply early

• Norwich Research Park, Norwich, United Kingdom