Please check here the latest news on Postgraduate studies at QMUL.

Machine Learning for Visual Data Analytics MSc

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

You can choose to study this programme with an additional year of Industrial Experience to augment your practical skills.

Options: Full time (1 year, course code H6JE), Part time (2 years, course code H6JZ), and with Industrial Experience (course code H6L0)
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Internet of Things (Data) MSc

This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer.

The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More ‘things’ are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of 'things' (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.

The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can:

1. engineer new interactive products – things;
2. acquire, fuse and process the data they collect from things;
3. interact with, and interconnect these things as part of larger, more diverse, systems.

Options: Full time (1 year, course code I1T0), Part time (2 years, course code I1T2), and with Industrial Experience (course code I1T1)
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Big Data Science MSc

This programme provides students with the skills to become a Data Scientist. A Data Scientist is a highly skilled professional, who is able to combine state-of-the-art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from data. The MSc modules cover the fundamental statistical (e.g. data mining, machine learning) and technological tools (e.g. cloud platforms, Hadoop) for large-scale data analysis, as well as the domain-specific knowledge from specific application domains (Computer Vision, Social Network Analysis, Internet of Things, Bio Engineering). The program includes an MSc project where these skills can be applied to real use cases, in collaboration with industry partners.

Options: Full time (1 year, course code H6J7) and Part time (2 years, course code H6J6), and with Industrial Experience (course code H6L0)
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MSc by Research

An MSc by Research provides you with the necessary skills to undertake research, either in an academic or industrial environment. You will have the opportunity to develop further research and technical skills and to demonstrate a level of independence that is greater than developed on a purely taught programme. The programme is suitable for outstanding students who have an interest in advanced research-based study in Intelligent Sensing.

Electronic Engineering options: Full time (1 year, course code H6T5) and Part time (2 years, course code H6T6)
Computer Science options: Full time (1 year, course code G4Q1) and Part time (2 years, course code G4Q2)
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