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    Machine Learning for Visual Data Analytics MSc
    Go to Queen Mary University of London
    Queen Mary University of London

    Machine Learning for Visual Data Analytics MSc

    Queen Mary University of London

    Queen Mary University of London

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    United Kingdom, London

    University RankQS Ranking
    120

    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Mile End

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesSeptember-2026
    Apply to this program

    Go to the official application for the university

    Duration 1 year(s)
    Tuition Fee
    GBP 15,750  / year(s)
    Next Intake September-2026

    Machine Learning for Visual Data Analytics MSc

    About

    What you'll study

    This course will enable students to study cutting-edge technologies in the field of machine learning for visual analytics, and will provide them with the background and skills they need to pursue careers in research or industry. Course content covers:

    • Fundamental methods and techniques in computer vision, machine learning and image processing.
    • Programming tools, languages and techniques for the application of machine learning methods to analyse visual data.
    • Methods and techniques for systems and applications.

    The programme is taught by academics from the Computer Vision and Multimedia and Vision research groups. The groups consist of a team of more than 100 researchers (academics, post-docs, research fellows and PhD students) performing world-leading research into the fields of surveillance, face and gesture recognition, multimedia indexing and retrieval and robotics.

    The School has collaborations, partnerships, industrial placement schemes and public engagement programmes with organisations including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.

    This degree is accredited by BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. This degree is also accredited by BCS on behalf of the Engineering Council, for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.

    Disciplines

    School of Electronic Engineering and Computer Science - Department of Electronic Engineering

    Requirements

    Entry Requirements

    Saudi Arabia
    We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree from a recognised institution.

    UK 1st class degree: GPA 4.75 out of 5.0; or GPA 3.75 out of 4.0
    UK 2:1 degree: GPA 3.75 out of 5.0; or GPA 3.0 out of 4.0
    UK 2:2 degree: GPA 3.0 out of 5.0; or GPA 2.4 out of 4.0

    English Program Requirements

    The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements. The English Language requirements for entry to postgraduate taught and research programmes in the School of Electronic Engineering and Computer Science falls within the following English band: Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

    Career

    Career paths

    Your skills and knowledge in intelligent image and video processing are valuable across many industries. These include:
    • Multimedia indexing and retrieval: Companies like Google and Microsoft.
    • Motion capture: Companies such as Vicon.
    • Media production: Organizations like Sony, Technicolor, and Disney.
    • Medical imaging
    • Security and defense: Companies such as Qinetiq.
    • Robotics

    Additionally, expertise in machine learning, signal processing, and programming is highly sought after in various other industries.

    Many of our faculty members collaborate on research projects with industry partners, including Disney, BBC, Technicolor, and STMicroelectronics, and also engage in consultancy work.

    You will be well-prepared to pursue further research or PhD studies.

    • 100% In highly skilled jobs 15 months after graduation.

    Fee Information

    Tuition Fee

    GBP 15,750 

    Application Fee

    GBP  
    Queen Mary University of London

    Machine Learning for Visual Data Analytics MSc

    Queen Mary University of London

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    United Kingdom,

    London

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