Course Overview - Computer Science
**Why choose this course**
Surrey is one of the UK’s leading universities for computer science, with an excellent record for graduate employability: 100 per cent of our computer science undergraduate students go on to employment or further study (Graduate Outcomes survey 2022, HESA). We are ranked 3rd in the UK for information technology in the National Student Survey 2022.
We also run an award-winning Professional Training placements scheme, which gives students industry experience and prepares them for roles in various sectors.
Our BSc in Computer Science pro...
**Why choose this course**<br/>Surrey is one of the UK’s leading universities for computer science, with an excellent record for graduate employability: 100 per cent of our computer science undergraduate students go on to employment or further study (Graduate Outcomes survey 2022, HESA). We are ranked 3rd in the UK for information technology in the National Student Survey 2022.<br/><br/>We also run an award-winning Professional Training placements scheme, which gives students industry experience and prepares them for roles in various sectors.<br/><br/>Our BSc in Computer Science provides you with a solid foundation for designing the next generation of computational systems. It will also enable you to analyse and resolve issues with the latest software programs.<br/><br/>You’ll be taught by academics at the forefront of their field and you’ll have opportunities to attend lectures from industry experts.<br/><br/>**What you will study**<br/>This course will develop your understanding of the concepts and principles that form the basis of computing systems.<br/><br/>We’ll provide you with the balance of knowledge and skills you need to design, implement and troubleshoot software and complex systems to a professional standard.<br/><br/>You may choose to complete a Professional Training placement, which will give you invaluable industry experience and opportunities to apply theory to real-world scenarios.<br/><br/>You’ll explore a wide range of topics, including:<br/><br/>Artificial intelligence<br/>Computational mathematics<br/>Computer security<br/>Object-oriented programming.<br/>This will involve using languages and tools such as Java, C++, Android, SQL, Python, MATLAB and assembler, plus specialist hardware such as Raspberry Pi computers.