find your perfect postgrad program
Search our Database of 30,000 Courses
Queen Mary University of London: Machine Learning for Visual Data Analytics
| 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
As recent developments in computers and sensors make the generation, storage and processing of visual data easier, methods that enable a machine to analyse and understand images and videos become increasingly relevant. The advances in this field are behind Google's autonomous vehicles, Meta's image analysis technologies and car plate recognition systems.
This programme is designed to train engineers to work in the analysis and interpretation of images and video.
-
Undertake high-level training in programming languages, tools and methods necessary for the design and implementation of practical computer vision systems.
-
Be taught by world-class researchers in the fields of multimedia analysis, vision-based surveillance, structure from motion and human motion analysis.
-
Work on cutting-edge research projects, gaining hands-on experience.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline. |
| 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 Electronic Engineering, Computer Science, Mathematics or a related discipline. |
| 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 Electronic Engineering, Computer Science, Mathematics or a related discipline. |
| 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 Electronic Engineering, Computer Science, Mathematics or a related discipline. |
| 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 Electronic Engineering, Computer Science, Mathematics or a related discipline. |
| 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 Electronic Engineering, Computer Science, Mathematics or a related discipline. |
| 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 Computer science or Artificial intelligence, 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