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Queen Mary University of London: Data Science and Artificial Intelligence by Conversion
| Institution | Queen Mary University of London View institution profile |
|---|---|
| Department | Electronic Engineering and Computer Science |
| Web | https://www.qmul.ac.uk/ |
| eecs-msc-enquiries@qmul.ac.uk | |
| Telephone | +44 (0)20 7882 7333 |
| Study type | Taught |
Summary
Prepare for the jobs of the near future with this conversion MSc programme, designed to enable learners without computer science backgrounds to train as artificial intelligence data specialists.
This programme is ideal for highly motivated applicants seeking to develop knowledge and technical expertise in data science and AI. Since applicants come from various academic backgrounds, we strongly recommend that you review our guidance for completing your application tailored specifically to this programme.
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Discover data science and AI principles to create solutions for business and industry challenges.
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Learn from experts engaged in cutting-edge research in Machine Learning, Natural Language Processing, Computer Vision, and Game AI.
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Receive intensive teaching on programming and statistics, to equip you for the specialised modules in this programme.
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This programme was developed by a collaborative partnership of universities and industry partners, brought together by the Institute of Coding.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject not related to Computer Science, Electrical Engineering or Electronic Engineering. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in programming or statistics. Applicants with degrees obtained more than five years ago who do not meet the above criteria, and those with relevant experience will be considered on an individual basis and must demonstrate evidence of: - Aptitude and technical skills normally acquired through employment OR Where possible, selection will be based on the written application, but applicants may be asked to attend an interview to support the evaluation of their experience and aptitude. For international qualifications, please refer to our website for specific entry requirements. |
| Location | Mile End Mile End Road Tower Hamlets E1 4NS |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject not related to Computer Science, Electrical Engineering or Electronic Engineering. Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in programming or statistics. Applicants with degrees obtained more than five years ago who do not meet the above criteria, and those with relevant experience will be considered on an individual basis and must demonstrate evidence of: - Aptitude and technical skills normally acquired through employment OR Where possible, selection will be based on the written application, but applicants may be asked to attend an interview to support the evaluation of their experience and aptitude. For international qualifications, please refer to our website for specific entry requirements. |
| 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 …
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