MSc in Artificial Intelligence for Drug Discovery, Queen Mary University of London

12 Months

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About this course

The MSc in Artificial Intelligence for Drug Discovery is designed to teach you essential concepts of drug discovery and artificial intelligence. This program emphasizes intensive training to develop advanced computational skills applicable to drug discovery, focusing on AI techniques without requiring prior programming knowledge. It combines chemical sciences with computer and data science, preparing students for a role in a rapidly growing field where AI is transforming how medicines are developed. The program is hosted at Queen Mary University and features world-leading researchers in computational chemistry.

Why this course is highly recommended

This MSc is one of the first programs worldwide to focus specifically on AI in drug discovery, making it a pioneering choice for graduates keen to enter this booming sector. The course provides hands-on experience with programming and AI tools, practical modules on drug design, and research projects working with leading academics. Given the rapid adoption of AI in pharmaceutical sciences, this program offers a competitive edge for careers in computational drug discovery, AI research, and related fields.

Specialisation

This course uniquely combines applications of AI in drug discovery with training in computational chemistry, medicinal chemistry, and machine learning. It offers exposure to programming languages like Python and state-of-the-art tools such as TensorFlow, DeepChem, and Alphafold. The specialist focus is on applying AI to design and optimize molecules, interpret predictions, and model biomolecular systems, making it one of the first programs globally to focus explicitly on AI applications within this domain.

Course fees

Application fees

1st year tuition fees

31.62L

Living cost

Degree requirements

Applicants should have a good 2:2 (55% or above) in undergraduate studies in Chemistry, Pharmaceutical Chemistry, Medicinal Chemistry, Biochemistry, Pharmacy, Biomedical Sciences, or related disciplines. For international students, honours degrees or equivalent qualifications are accepted based on country-specific grading standards. The program specifies grade equivalencies for various countries, including GPA and percentage scales.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the Queen Mary University of London admission page for complete details.

Career prospects

Graduates from this MSc will be well-prepared for roles such as Computational Drug Discovery Scientist, AI Research Scientist, Computational Chemist, or Data Scientist. The computational skills can also be applied in other sectors, and students can opt for further research, including doctoral programs like Queen Mary’s AI for Drug Discovery Doctoral Training Programme.

FAQs

What programming skills are required for this course?

No prior programming knowledge is assumed; you'll learn coding in Python, along with implementing machine learning and deep learning methods.

What are the main modules covered in the program?

Core modules include Artificial Intelligence for Drug Discovery research, Fine-Tuning Lead Compounds, Computational Ligand-based Drug Discovery, Data-driven Drug Discovery, Molecular Modelling, Medicinal Chemistry, Scientific Programming, and Machine and Deep Learning, complemented by a research project.