About Machine Learning For Visual Data Analytics With Ie Msc in Queen Mary University of London

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 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 can choose to do in collaboration with an industrial partner.

During your industry placement, you will learn to apply key technical knowledge and skills from your taught modules in the workplace; enhancing your employment potential and understanding where you need to improve. You will secure the placement yourself with support from the Placement Team. This module is only open to students enrolled on the programme of study with integrated placement.

​​​Academic qualification equivalents

• A bachelor degree with related subject

English language requirements (one of the below):

• IELTS :6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking. 
• TOEFL IBT: 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.

Queen Mary University Of London Highlights

Queen Mary University of London Average Tuition Fees And Other Expenses

The cost of attendance for the 2020/2021 academic session is presented on the table below

Note: Fee payment in installments is available