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MSc - Master of Science
Mile End
Full Time
SEP-25
1 Year
Select a course option
MSc - Master of Science
Mile End
Full Time
SEP-25
1 Year
MSc - Master of Science
Main Site
Full Time
SEP-25
1 Year
MSc - Master of Science
Mile End
Full Time
SEP-25
12 months
Select a an exam type
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.
What you'll study
The 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.
A good 2:2 or above at undergraduate level in Chemistry, Pharmaceutical Chemistry, Medicinal Chemistry, Biochemistry, Pharmacy, Biomedical Sciences or a related discipline.
Students living in
England
£15,250 per year
Students from England
£29,950 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£29,950 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
Queen Mary University of London (QMUL) is an internationally regarded public research institution based in London....
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