BSc (Hons) Computer Science with placement year

at Cardiff Metropolitan University

Modules
 

• Principles of Programming
• Architectures & Operating Systems
• Building for the Web
• Technology & Society
• Computational Thinking
• Developing Quality Software & Systems I

International Applicants
Students whose first language is not English will need to provide evidence of fluency to at least an IELTS 6.0 standard or equivalent. 

The cost of studying at Cardiff Metropolitan University varies largely depending on the type of university and the degree chosen. More often than not, humanities, arts, and education courses are less expensive than degrees in medical, engineering, or management. Furthermore, students who choose to study at the postgraduate level typically pay higher tuition fees, which again vary depending on the programme chosen.

Most universities provide scholarships or financial aid to students in order to help them offset their tuition costs. Students should be aware that additional course fees and incidental expenses may not be included in tuition. On average, international students can expect to pay £14,500 annually, to study in Cardiff Metropolitan University.

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.
Real world experience can be obtained as part of your study by completing an optional sandwich year placement / industrial internship. Over the past few years, our students have been successful in obtaining placements in nationally competitive schemes with Microsoft, HP, General Electric and the Met Office.