Taught course

Artificial Intelligence for Drug Discovery

Queen Mary, University of London · Biological and Chemical Sciences

Entry requirements

A 2:1 or above at undergraduate level in Chemistry, Pharmaceutical Chemistry, Medicinal Chemistry, Biochemistry, Pharmacy, Biomedical Sciences or a related discipline.

Months of entry


Course content


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.

Information for international students

English language requirements

If you got your degree in an English speaking country or if it was taught in English, and you studied within the last five years, you might not need an English language qualification - find out more.

Visas and immigration

Find out how to apply for a student visa.

Fees and funding

UK students
International students

There are a number of ways you can fund your postgraduate degree.

Scholarships information:

Visit our scholarships database to see what scholarships are available for this programme: https://www.qmul.ac.uk/scholarships/database/

Our Advice and Counselling service offers specialist support on financial issues, which you can access as soon as you apply for a place at Queen Mary. Before you apply, you can access our funding guides and advice on managing your money:

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification


AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations67

Course contact details

Sadiya Hussain