Designed in consultation with industry, the Computer Science degree will equip you with a strong knowledge of the key concepts of computing, software and systems. Creating links between theory and practice, the course covers the theoretical foundations of data and computation, computer architectures, the construction of computers and their operating systems. You will build on these theories to develop a broad range of practical programming and software development skills, along with highly transferable computational thinking, analytical and problem solving skills. You will examine how professional software code is best organised, and will begin working at the boundary where software and hardware meet to understand how software can interact with the physical world. Broadening options will allow you to hone your knowledge in specialist areas such as Artificial Intelligence, mobile technologies, robotics, and data analytics and business intelligence to become highly employable across different sectors of the digital economy. As such, you can graduate with a named award in:
The primary aim of this degree programme is to develop theoretical understanding of the key concepts of computing, software and systems. It will showcase the wider impact and importance of software and technology to both society as well as the UK and global digital economy, alongside developing highly transferable computational thinking, analytical and problem solving skills, as well as a broad range of software development skills.
This degree programme is in the process of being accredited by BCS, The Chartered Institute for IT – the body that champions the global IT profession with more than 70,000 members worldwide. This degree programme satisfies the educational requirements for professional membership and chartered status (on successful completion of industry experience at the appropriate level of seniority).
Computer Science
Computer Science graduates will find a wide variety of career opportunities across both the traditional IT and telecoms sector, as well as the majority of the other industrial sectors (both public and private), including the digital/creative industries, financial and professional services, advanced manufacturing, engineering and management consultancy.
Computer Science (Artificial Intelligence)
Artificial Intelligence is an area of significant growth within the IT industry. There is a significant gap in the market, with many opportunities for well-paid employment and rewarding career paths across all sectors for graduates with knowledge and skills in Artificial Intelligence. Roles in Artificial Intelligence cover areas such as Business and Finance, Robotics, and Research and Development across disciplines such as and Medicine and Sport.
Computer Science (Data Analytics)
Data Analytics has now established itself as core to the Computing sector, but with many unfilled, well-paid roles that need filling. The analysis of data has become key to the way that many businesses are run, with Data Analytics forming the basis for major decisions in business, government, and many other sectors. Data Analytics is still developing as a growth area, and careers in this field offer excellent opportunities with new roles continually emerging.
Computer Science (Mobile Computing)
Mobile Computing expertise offers opportunities across all disciplines. Technology has enabled hardware and software to be deployed in any environment utilising cloud technology which requires a specific set of skills. Focus is given to developing on mobile phones and tablets, while recognising and exploring the flexibility that this type of technology brings. Industry is still exploring the potential of this flexibility, and requires this expertise with excellent career opportunities.
Computer Science (Robotics)
The use of robotics is on the rise, with advances in Artificial Intelligence and recognition that robotics can used across many sectors. The subject now crosses the conventional image of robotics in heavy industry to areas such as social robotics for human interaction, and automation at home and in everyday life. Robotics and AI applications examine the integration of robotics through using speech, recognising behaviour and the use of sensors. Expertise in robotics can lead to exciting opportunities in both Industry and Science which will lead to careers that are still emerging, addressing the gaps in the market that are still being discovered in this area.
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