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- Artificial Intelligence (AI)
- Queen Mary University of London
- Artificial Intelligence for Drug Discovery MSc
Course options
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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
21-SEP-26
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Duration
1 Year
Course summary
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.
Modules
Tuition fees
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£ 31,450per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
41st
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Campus address
Main Site, Mile End Road, London, Bethnal Green, E1 4NS, United Kingdom
Subject rankings
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Subject ranking
27th out of 117
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Entry standards
/ Max 223156 70%28th
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Graduate prospects
/ Max 10084.0 84%48th
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Student satisfaction
/ Max 43.04 76%56th
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