Artificial Intelligence for Drug Discovery MSc
Queen Mary University of London
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( 4.2) View reviews

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Qualification

MSc - Master of Science

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Start date

SEP-26

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Duration

1 Year

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Qualification

MSc - Master of Science

Location

Main Site

Study mode

Full Time

Start date

SEP-26

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, youll 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 ...Read more

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

  IDP Connect
WUSCA ranking:
WUSCA student ranking
These are the 2025 rankings, based on ratings given by past and current students.
21/279
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2026
27th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2026
41st
What students say
T
Trijit
02 Dec 25

The dedicated research group seminars in our department are fantastic for fostering collaboration and interdisciplinary..Read more

S
SANGEETH
06 Mar 25

It's..Read more

Modules

Modules (Year 1)
IDP Connect

Entry requirements

A good 2:2 or above at undergraduate level in Chemistry, Pharmaceutical Chemistry, Medicinal Chemistry, Biochemistry, Pharmacy, Biomedical Sciences or a related discipline.

Tuition fees

Students living in

Domestic

£15,250 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from Domestic

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

£31,450 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from EU

The amount you'll pay if you come to study here from somewhere in the EU.

The amount you'll pay if you come to study here from somewhere in the EU.

£31,450 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

The amount you'll pay if you come to study here from a country outside the EU.

IDP Connect

Latest reviews

Latest Artificial Intelligence (AI) reviews

Artificial Intelligence (AI)
Artificial Intelligence (AI)
T
Trijit
02 Dec 25
Artificial Intelligence MSc
The dedicated research group seminars in our department are fantastic for fostering collaboration and interdisciplinary...
Read more
S
SANGEETH
06 Mar 25
Artificial Intelligence MSc
It's...
Read more
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How Artificial Intelligence (AI) students rated:

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( 4.5) 21 reviews
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( 4.2) 1,049 reviews
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Uni info

Queen Mary University of London
Queen Mary University of London , London

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

Student rating
( 4.2) View reviews
CUG ranking
41st
Queen Mary University of London
Mile End Road London Bethnal Green E1 4NS United Kingdom
Nearest tube station: Mile End  0.2 miles away Nearest train station: Limehouse  0.4 miles away
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