The Internet of Things (IoT) explores the internetworking ever more capable electronic and computing systems that we use in our daily lives, ranging from cars and mobile telephones to washing machines and aeroplanes.
This major growth area has a large and increasing industry demand for engineers and computer scientists who possess in-depth expertise in interconnected systems, and our course equips you with the advanced knowledge and skills to work in all aspects of this area.
You develop practical skills in the design, programming and interfacing of embedded processors, as well as an understanding of current applications, technological trends and their potential impact on systems of the future. We have an international reputation for research in this field, so maintain well equipped laboratories through our links with industrial partners.
This enables us to offer you instruction in a wide range of topics including:
-Embedded agents and the embedded internet
We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).
This course is also available on a part-time basis.
This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).
Our expert staff
Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.
Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.
In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.
We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors
Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Bank of Mexico
-Hellenic Air Force
-United Microelectronic Corporation (Taiwan)
We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.
-MSc Project and Dissertation
-Advanced Embedded Systems Design
-Digital Signal Processing
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Creating and Growing a New Business Venture (optional)
-Electronic System Design & Integration (optional)
-High Level Logic Design (optional)
-Intelligent Systems and Robotics (optional)
-IP Networking and Applications (optional)
-Game Artificial Intelligence (optional)
-Data Science and Decision Making (optional)