Course summary

Almost everything we do in our lives has been touched by software engineering, programming or some form of computing. From the obvious, such as ordering products online to playing computer games, to the less obvious, like paying for your shopping at the supermarket or booking an appointment with the doctor, the supporting systems have all been built using computer science knowledge and skills. As a non-computing graduate on our Computer Science masters course, you’ll have the opportunity to develop the knowledge, skills and experience you need to build an exciting career. Professional Practice The difference between this course and the MSc Computer Science course is that this one features a professional placement. Taking the Professional Practice route allows you to extend the duration of your Masters to 22 months and gain valuable working experience to support your career aspirations. The placement commences after completion of your MSc dissertation and can be paid work. study abroad exchanges or unpaid research projects or even a mix of these options. You will return to Aston the following May for an intensive period on campus to draw all your learning together and finalise the assessments. Although you are responsible for finding your placement, you will have access to the support of our award-winning Careers and Placements Team, who have helped so many of our students to secure placement and work opportunities, by providing CV and application preparation, and practice interviews What you’ll learn During your MSc course, you'll learn to master the tools you need to meet the computational challenges that business and society face, while building a solid base of theoretical knowledge to underpin your delivery of smart solutions and in-depth analysis. As well as developing a systematic understanding of the software development process you’ll also learn how to make best use of huge amounts of data, enabling you and your future employer to make better business decisions. We teach specialist subjects ranging from user experience (UX) design to artificial intelligence (AI) and data mining, and give you unique opportunities to apply your knowledge to solve real-world problems.