Queen Mary University of London
Machine Learning for Visual Data Analytics MSc(Part time)
- 2 years
- Part time
- Part time
Program Description
This programme is designed to train engineers to work in the analysis and interpretation of images and video. It covers both low-level image processing and high-level interpretation, using state-of-the-art machine learning methodologies.
- Undertake high-level training in programming languages, tools and methods that are 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, live research projects, gaining hands-on experience
- Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups
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What you'll study
You will undertake detailed study in machine learning, both generally and specifically for visual data analytics. You will also study computer vision. You may choose from elective modules in subjects such as computer graphics, data mining or processing, AI, image processing, digital media and social networks.
Our excellent links will allow you to build your network with industry and potential employers and have opportunities to work together on commercial and research projects.
The School has collaborations, partnerships, industrial placement schemes and public engagement programmes with organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
You will devise and carry out a major dissertation, which you might do in collaboration with an industrial partner.
Structure
- Six compulsory modules
- Two elective modules
- Compulsory 10,000-15,000-word dissertation/final project
Admission Description
India
We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
UK 1st class degree: 70% to 80%
UK 2:1 degree: 60% to 70%
UK 2:2 degree: 50% to 60%
Offer conditions will vary depending on the institution you are applying from. For some institutions/degrees we will ask for different grades to above, so this is only a guide.
For India, offers may be made on the GPA scale.
We do not consider the Bachelor of Vocation (B. Voc.) for Masters entry.
English language requirements
If you got your degree in an English speaking country or if it was taught in English, and you studied within the last five years, you might not need an English language qualification - find out more.
The minimum English Language requirements for entry to postgraduate degree programmes within the School of Electronic Engineering and Computer Science are:
Examining body
IELTS
6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.
TOEFL
92 overall including 21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking.
PTE
62 overall including 57 in Writing, and 51 in Reading, Listening and Speaking.
Visas and immigration
Find out how to apply for a student visa.
Other Details
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Program Type: Part time
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Study Type: Part time
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Key Point: Machine Learning for Visual Data Analytics
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Category: Machine Learning for Visual Data Analytics
Program Reviews -
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Queen Mary University of London
| Starting Date: | Submission deadline | Status |
|---|---|---|
| September 2022 | January 1970 | Open Now |
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