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    Artificial Intelligence for Drug Discovery MSc
    Go to Queen Mary University of London
    Queen Mary University of London

    Artificial Intelligence for Drug Discovery MSc

    Queen Mary University of London

    Queen Mary University of London

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    United Kingdom, London

    University RankQS Ranking
    120

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Mile End

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesSeptember-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 31,450  / year(s)
    Next Intake September-2026

    Artificial Intelligence for Drug Discovery MSc

    About

    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 full list of modules can be found below.

    Requirements

    Entry Requirements

    Saudi Arabia
    We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree from a recognised institution.

    UK 1st class degree: GPA 4.75 out of 5.0; or GPA 3.75 out of 4.0
    UK 2:1 degree: GPA 3.75 out of 5.0; or GPA 3.0 out of 4.0
    UK 2:2 degree: GPA 3.0 out of 5.0; or GPA 2.4 out of 4.0

    English Program Requirements

    The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements. The English Language requirements for entry to postgraduate taught and research programmes in the School of Physical and Chemical Sciences falls within the following English band: Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

    Career

    Career paths

    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. 

    Fee Information

    Tuition Fee

    GBP 31,450 

    Application Fee

    GBP  
    Queen Mary University of London

    Artificial Intelligence for Drug Discovery MSc

    Queen Mary University of London

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    United Kingdom,

    London

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