Computer Science for Cyber Security (with a placement year)

UCAS code: I191

Here's what University of Bradford says about its Computer Science for Cyber Security (with a placement year) course.

Develop the skills you need for a career as a cyber security professional, working in a rapidly growing and vitally important industry.

The BSc (Hons) Computer Science for Cyber Security (with placement year) blends core computer science disciplines with specialist areas of cyber security such as:

*Cryptography *Security technologies *Computer communications and networks *Electronic business

The placement year in industry enables you to build contacts whilst developing your skills and professional confidence.

If you enjoy solving problems, are innovative and creative, and have a passionate interest in technology this programme is tailor made for you. Our graduates make a positive impact on society, not only through preventing and reducing cyber security attacks, but by applying the wide-ranging skills developed on this programme in other areas of information technology.

This programme shares a common first year with all our other Computer Science programmes (Computer Science for Games, Business and Software Engineering, as well as the standard Computer Science programme), allowing you to transfer before the start of the second year if you feel an alternative course suits your emerging interests or career aspirations better.

The BSc (Hons) in Computer Science for Cyber Security draws on our outstanding research strengths and expertise. Our Department of Computer Science is one of the longest established in the UK, and we have a strong heritage within the subject.

Placements This 4-year BSc (Hons) Computer Science for Cyber Security programme offers you the opportunity to take up a placement year working in industry in your third year.

The placement year is an excellent way to develop your professional experience, build industry contacts, and gain insight into the day-to-day work of a professional computer scientist. Placements are predominantly salaried positions and may lead to offers of employment upon graduation if you excel during your placement.

Recent placement destinations include:

• ATOS

• Deutsche Post AG

• GE, Goldman Sachs

• Hewlett Packard

• IBM

• Intel

• JP Morgan

• NHS

• Rolls Royce

• Skipton Building Society

• Thomson Reuters

All of our Computing courses share a common first year, allowing transfer between them before the start of the second year. Our first year modules cover foundation topics including introductory computer programming, internet technologies, professional skills and more.

The second year also includes many modules common to all of our courses, further strengthening core and fundamental knowledge required by all Computing graduates. The second year also introduces course specific modules and our flagship Enterprise Pro module which embeds industry projects within your course, giving you significant real world experience of designing and developing a solution to an industry proposed problem, within a supervised and academically supported team.

Our final year is where you will further develop your computing and cyber security skills allowing you to launch your career. The course includes a final year project as well as further specialist content and the opportunity to take an elective module to really personalise your degree.

Year 1: Computer Architecture and Systems Software (core) Fundamentals of Programming (core) Internet Technologies (core) Mathematics for Computing (core) Software Design & Development (core) Technical and Professional Skills (core)

Year 2: Computer Communications and Networks (core) Data Structures and Algorithms (core) Database Systems (core) Enterprise Pro (core) Security Management (core) Computational Modelling & Artificial Intelligence (option) Statistics & Data Analysis (option)

Year 3: Placement Year

Year 4: Cyber Security (core) Final Year Project (core) Foundations of Cryptography (core) Foundations of Security Technologies (core) Elective (option) Mobile Applications (option) Neural Networks and Fuzzy Systems (option)

Most modules use a mixture of formal lectures, practical lab sessions, tutorials and seminars. Some modules involve supervised group work, usually with an assigned academic staff member for each group. All modules require students to undertake independent study, supported through distance learning technologies such as our Virtual Learning Environment. Reading lists and suggested resources for independent study provide further direction for students to undertake this work, and regular contact hours and informal feedback throughout the courses provide opportunities for further guidance for learners. Assessments for modules mostly take the form of practical coursework, lab tests and written exams, with all forms being well represented throughout all years of the course across all modules