Course summary
This course has been designed to give you advanced theoretical and specialist practical knowledge of progressive and emerging topics in the Internet of Things to design and engineer the next generation of connected devices and systems. You’ll learn to apply key concepts in Internet of Things such as hardware/software co-design; programming and interfacing of embedded processors; IoT hardware components; and networking, and how to acquire, fuse and analyse data collected from sensors, using AI and data science-driven approaches. You will also plan, manage and deliver significant Internet of Things-based projects, resulting in a high-quality research output through a dissertation. You’ll investigate and develop Internet of Things projects within the confines of the ethical, social and professional contexts of the next generation of smart devices and networked systems. From this course, you’ll come away with the professional skills needed for a senior career in the IT industry. This course is also available as a two-year masters with an industrial placement year . The embedded industrial placement offers a unique opportunity to apply the skills learnt on real-life projects.
Modules
Year 1 Core Modules: Internet of Things Machine Learning on Big Data Cloud Computing Mental Wealth; Professional Life (Dissertation) Optional Module: Computer Security Year 2 Core Module: Industrial Sandwich Placement (work-based project integrating programme skills) This MSc equips you with strong technical skills in IoT systems, big data analytics, and cloud infrastructure, plus optional security training. The placement year provides valuable industry experience to prepare you for IoT innovation roles.
Assessment method
The learning outcomes of the programme are assessed through laboratory session portfolios, group and individual coursework, research dissertation, presentations, reports and in-class time constraint assessments. Coursework can take a variety of forms, including laboratory work, data analysis and oral presentations. The Research Dissertation is assessed on a final written report, a poster presentation and a practical component. You will receive detailed feedback on all assessment outlining strengths and areas of improvement. The approximate percentages for this course are more than 90% coursework, and less than 10% time constraint assessments. The module specifications specify the mode of assessment for each module.
Entry requirements
Bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths.
Fees and funding
Tuition fees
| England | £11340 | Year 1 |
| Northern Ireland | £11340 | Year 1 |
| Scotland | £11340 | Year 1 |
| Wales | £11340 | Year 1 |
| EU | £16740 | Year 1 |
| International | £16740 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Year 2 Industrial Placement Fee - £3,500
Provider information
University of East London
Docklands Campus
4-6 University Way
Newham
E16 2RD