find your perfect postgrad program
Search our Database of 30,000 Courses
Queen Mary University of London: Artificial Intelligence and Machine Learning in Science
| Institution | Queen Mary University of London View institution profile |
|---|---|
| Department | Physical and Chemical Sciences |
| Web | https://www.qmul.ac.uk/ |
| admissions@qmul.ac.uk | |
| Study type | Taught |
Summary
Introduction Artificial Intelligence and Machine learning have become a revolutionary force in science and medicine, contributing to numerous important breakthroughs in recent years. From climate change to drug discovery to particle physics, we are witnessing unprecedented advances in automation, data analysis, predictive modelling, and simulations.
This cross-disciplinary masters programme will teach you the fundamentals of AI and Machine Learning, and how these can be applied to real-world scientific problems.
Programme highlights - Develop the coding and programming skills required to apply artificial intelligence to a wide range of fields.
-
Work with real datasets from our world-leading research with links to organisations such as CERN, NASA and LIGO.
-
Study the essential mathematical concepts that underpin artificial intelligence and machine learning such as probability, statistics and time series.
-
Learn from expert academics, including former industry practitioners, Fellows of the Alan Turing Institute and members of Queen Mary’s Digital Environment Research Institute (DERI).
-
No programming experience required.
Career outcomes The demand for qualified AI and Machine Learning experts is growing and we are witnessing an explosion of AI opportunities in London. From environmental science to healthcare, organisations are seeking skilled graduates with hands-on coding and programming skills. Given the broad scope of this MSc and the focus on developing strong theoretical and practical skills, graduates may wish to consider other sectors such as communications, finance or retail.
Highly sought-after Machine Learning Engineers can earn over £60,000 per year in the UK (Source: Indeed).
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good 2:2 or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects. For international qualifications, please refer to our website for specific information. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Queen Mary University of London is a place where every difference is celebrated –where your unique perspective is not just welcomed, but essential. Join a community where your individuality fuels progress, and your distinct experiences shape a richer, more dynamic learning environment.
Ranked 110th in the world (QS 2026) and 24th in the world for research (Times Higher Education 2026), join students from over 170 nationalities, and study at the only campus-based Russell Group University in London.
Queen Mary is dedicated to supporting international students from all over the world and offer financial support and …
View ProfileNot what you are looking for?
Browse other courses in Artificial intelligence, Business information technology or Science, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here