MSc in Artificial Intelligence and Machine Learning in Science, Queen Mary University of London

12 Months

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About this course

This MSc program is designed to teach students the fundamentals of AI and Machine Learning, with a focus on applying these skills to solve real-world scientific problems. It covers essential mathematical concepts like probability, statistics, and time series, and emphasizes developing coding and programming skills. Students will work with real datasets from prominent research organizations such as CERN, NASA, and LIGO, gaining practical experience alongside theoretical knowledge. No prior programming experience is required, making it accessible to students from various STEM backgrounds. The course is ideal for those interested in how AI and ML can revolutionize fields like climate science, drug discovery, astrophysics, and beyond. It offers a flexible study schedule through full-time and part-time options, both starting in September 2025 at Mile End campus.

Why this course is highly recommended

This MSc is highly recommended for students interested in how AI and ML can drive scientific breakthroughs across diverse fields such as climate research, medicine, astrophysics, and materials science. The course’s strong emphasis on both theory and practical application means graduates will be well-equipped with coding, programming, and analytical skills sought after by employers in various sectors including healthcare, environmental science, finance, and tech. The involvement with renowned research organizations like CERN and NASA enhances the research experience, making it ideal for those looking to pursue further research or careers in AI-driven scientific innovation.

Specialisation

The program focuses on the application of Artificial Intelligence and Machine Learning within the realm of science. It combines theoretical foundations—such as probability, statistics, deep learning—with practical skills in various programming languages like Python, R, C++, and SQL. The curriculum includes modules tailored to research in computational chemistry, epidemiology, renewable energy, astrophysics, and materials science, among others. Students will work closely with research-active faculty, including Fellows of the Alan Turing Institute, on projects involving high-profile datasets and active scientific research.

Course fees

Application fees

1st year tuition fees

31.62L

Living cost

Degree requirements

Applicants need a good 2:2 or above at undergraduate level in STEM subjects such as Mathematics, Physics, Chemistry, Computing, or Engineering. For international students, the equivalent qualifications from their respective countries are considered, with GPA or percentage requirements specified depending on the region. The course is open to students from various educational backgrounds, and no programming experience is necessary at entry.

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 are in high demand, particularly in London, where opportunities in AI and Machine Learning are expanding rapidly across sectors such as environmental science, healthcare, finance, and communications. Skilled data scientists with coding expertise can attract salaries over £60,000 annually in the UK. The broad skill set developed—practical coding, data analysis, research experience—also opens pathways into research careers, further academic study, or roles in technology firms focusing on scientific applications of AI.

FAQs

Is programming experience required for this course?

No, programming experience is not required as the course is designed to teach coding and practical skills from scratch.

What organizations provide datasets for research projects?

Students will work with datasets from organizations like CERN, NASA, and LIGO, among others.