Program Overview

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Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources. The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area. We give you hands-on experience with various types of large-scale data and information handling, and start by providing you with a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. You explore areas including:

• Mobile and social application programming
• Human-computer interaction
• Computer vision
• Computer networking
• Computer security

You also obtain practical knowledge of processing textual data on a large scale in order to turn this data into meaningful information, and have the chance to work on projects that are derived from actual industry needs proposed by our industrial partners.

Professional accreditation

Accredited by BCS, the Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer. Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements. Why we're great.

• Develop the knowledge to handle data and the skills needed to turn it into valuable, meaningful information
• Gain hands-on experience – work on projects derived from the needs of our industrial partners
• Our Employability and Careers Centre is on hand to help with careers advice and planning. You will also have opportunities to present your research and travel to international conferences

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Our expert staff

Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. Our staff are driven by creativity and imagination as well as technical excellence. We are conducting research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting. Specialist staff working on data analytics include:

• Professor Luca Citi – machine learning, learning from biological signals and data (EEG, etc)
• Dr Adrian Clark – automatic construction of vision systems using machine learning and evaluation of algorithms, data visualisation and augmented reality
• Professor Maria Fasli – analysis of structured/unstructured data, machine learning, adaptation, semantic information extraction, ontologies, data exploration, recommendation technologies
• Professor John Gan – machine learning for data modelling and analysis, dimensionality reduction and feature selection in high-dimensional data space

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Specialist facilities

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 10 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

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Your future

Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data. Our recent graduates have progressed to a variety of senior positions in industry and academia, and now work for global companies such as Microsoft as well as regional start-ups, as software developers, development managers and product managers. 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. Read more about computer science and electronic engineering career destinations here.