Data Science for Drug Discovery (Taught)

Overview
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.

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.

Disclaimer
Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk