People who are keen to study a broad range of computing ideas and develop innovative solutions to problems or improvements to current situations are invited to apply for this diverse degree programme. The computing industry is continually growing and is integral to people's daily lives and businesses. In this course you will investigate the wide reaching influences that computers and computing technology have on the world, as well as the contribution you may be able to make to future advances. This programme initially covers a range of fundamental principles pertinent to computer technology and its use throughout the world. As this course introduces all aspects of computing during Stage one, you do not need to know what area of computing you want to specialise in before you arrive. Indeed, many of our students choose to continue studying multiple computing disciplines throughout the course, thus maintaining flexibility for their future career options. The degree is awarded by The University of Northampton, UK.This course uses practical examples to reinforce your theoretical underpinning as well as utilising our state of the art computer facilities. All Computing students study common modules during Stage one, this allows greater flexibility when choosing a specialism for stages two and three. You will learn software engineering methods as well as enhancing their problem solving skills. Additionally, you will investigate usable database implementation, system design to ensure that can be This course uses practical examples to reinforce your theoretical underpinning as well as utilising our state of the art computer facilities. All Computing students study common modules during Stage one, this allows greater flexibility when choosing a specialism for stages two and three. You will learn software engineering methods as well as enhancing their problem solving skills. Additionally, you will investigate usable database implementation, system design to ensure that can be used by multiple users and on multiple platforms, as well as learning the background theory, including the practical implications of knowledge based systems, neural networks and evolutionary algorithms on the development of artificial intelligence systems.used by multiple users and on multiple platforms, as well as learning the background theory, including the practical implications of knowledge based systems, neural networks and evolutionary algorithms on the development of artificial intelligence systems.

Recent graduates have entered into a number of different computing areas including, computer systems hardware development, computer networking, software development and internet technology. Students have also continued onto postgraduate courses available at the university.