Data Science for Drug Discovery

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.

Your research project, supervised by active researchers at the forefront of digital chemistry, pharmacology and biomedical science, gives you the opportunity to apply your computational and analytical skills to real scientific challenges.

You’ll graduate with a rare and highly sought-after combination of digital, computational, and drug discovery expertise, ideal preparation for careers in pharmaceutical R&D, AI‑enabled biotechnology, data‑driven research roles, or progression to PhD study.