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Artificial Intelligence for Drug Discovery MSc
Queen Mary University of London

Student rating
(4.3)

Find out more about studying Artificial Intelligence for Drug Discovery MSc at Queen Mary University of London? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MSc - Master of Science

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Location

Main Site

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Study mode

Full Time

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Start date

Sep 2027

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Duration

1 Year

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Course info

Artificial Intelligence is revolutionising drug discovery, allowing us to develop better medicines faster.This MSc will teach you essential concepts of drug discovery and artificial intelligence. Through intensive training, you'll develop the advanced computational skills required to apply AI techniques to drug discovery.This programme is ideal for graduates in Chemistry, Pharmaceutical Chemistry, Medicinal Chemistry, Biochemistry or a related discipline looking to pursue a career in this rapidly growing field.This is one of the first programmes in the world to focus on the applications of AI in Drug Discovery. You will develop advanced computational and programming skills with exposure to state-of-the-art applications and languages such as Python, TensorFlow, DeepChem and Alphafold. No prior knowledge of programming is assumed, making this ideal for graduates from Chemistry or a related discipline who would like to specialise in the applications of AI in Drug Discovery. Chemistry at Queen Mary is currently ranked 8th in the UK (REF 2021) for its research impact. You’ll learn from world-leading researchers in computational chemistry.What you'll studyThe programme has been designed to prepare you for a career in computational drug discovery. You'll developed advanced computational skills. We will teach you how to code in Python and how to implement and use machine and deep learning methods in the context of drug discovery, interpret their predictions and assess their quality. You'll build a solid foundation in the essential concepts of drug discovery such as how to design a molecule to bind a target protein and how to optimise its chemical structure. You'll have the opportunity to apply your computational skills to drug discovery as you study scientific computing and learn modelling and simulation techniques for biomolecular systems.

Key stats
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Complete University Guide ranking
40th
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Complete University Guide Computer Science ranking
20th
Tuition fees
Student living
£13,250 per year
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Uni info

Queen Mary University of London is a place where every difference is celebrated – where unique perspectives are not just...

Student rating
(4.3)
View reviews
CUG ranking 40th
Queen Mary University of London
Mile End RoadLondonBethnal GreenE1 4NSUnited Kingdom