Artificial Intelligence for Drug Discovery

Queen Mary University of London

Postgraduate MSc Full-time 1 Year

Artificial Intelligence for Drug Discovery MSc is a postgraduate degree at Queen Mary University of London, based in Tower Hamlets, taught full-time over 1 year.

About this course

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 Chemistry graduates or a related discipline looking to pursue a career in this rapidly growing field.

Programme Highlights
- 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.

Career Outcomes
This programme is excellent preparation for a career in drug discovery and development. You will be well placed for roles such as:
- Computational Drug Discovery Scientist

- AI Research Scientist

- Computational Chemist

- Data Scientist

The computational skills developed can also be applied to a wide range of sectors and industries. Graduates will also be well-equipped for further research and may be interested in Queen Mary's AI for Drug Discovery Doctoral Training Programme.

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Course Details

Qualification
MSc
Study Mode
Full-time
Duration
1 Year
Start Date
2025

2025-entry data — 2026 offers may differ

Academic Year
2025
Campus / Location
Tower Hamlets
Scheme
Postgraduate