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School of Computing

Computer Science BSc

Powerwall

Overview

Computer science is at the cutting edge of efforts to develop and apply future generations of technology. The solution of real-world problems, such as those relating to climate change, medicine or financial systems, requires computer scientists with advanced skills and knowledge in modelling and algorithm design.

Our undergraduate degree course includes the core topics of programming, software engineering and computer networking. In addition, specialist areas that focus on computationally challenging problems are developed and analysed through teaching and project work.

Typical opportunities include
• Final-year projects that use a range of high-resolution and
large-screen displays, including a powerwall (53-million pixel display wall)
• Designing high-performance parallel programs
• Developing efficient mathematical algorithms, which can be applied to problems in areas such as finance, weather prediction and biology
• Understanding problem complexity and mathematical techniques for improving the efficiency of solution approaches
• Exploring the uses and security of large-scale system architecture
• Cloud computing
• Mobile app development
• Graphics and visualisation

UCAS code: G400, this degree is also available as a 4 year MEng, BSc.
Industrial placements: Yes
Study abroad: Yes
Course duration: 3 years
Start date: September
Course fees: UK/EU: £9,000 International: £16,500
Information about living expenses and financial support can be found on the University's website.
Scholarships: Scholarships and bursaries worth up to £8,000 available.
Accreditation: This course is accredited by the British Computer Society (BCS)
BCS logo

Modules

The table below shows the modules that you will study if you commence your studies in September 2013. This information is taken from the University Programme Catalogue, which provides detailed module descriptions and is used by current students to select modules.

If you are looking to start your studies in September 2014 a list of modules is available in the 2014 brochure.

This is an indicative list and actual content may vary as we regularly review the content or our courses in light of new experiences and developments in the field.

 

Career options

Graduates from the School of Computing have excellent job prospects. With the continuing application of computer technologies, rapid growth of hardware and software technologies, their allied industries, and widespread application, the demand for our graduates is set to continue for the foreseeable future.

We have close links with companies such as IBM, Accenture and Hewlett Packard, and employers ranging from small/medium enterprises to large multi-nationals consistently target our graduates.

Recent graduate destinations include: Barclays, BT Group – Openreach, CSC, EMIS, Ernst & Young, Fujitsu, Goodrich ISR Systems, Imagination Technologies, Microsoft and PepsiCo.

Entry requirements

Our standard entry requirements are listed below. Lower offers can be made based on demonstrated interest and aptitude for the subject (typically AAB).

A-level: AAA including Mathematics

IT or Engineering Diploma: Grade A (plus A or above in A-level Mathematics).

BTEC Extended Diploma: Grade D*DD with 6 units of level 3 Mathematics

IB: 35 points overall, with 18 points at higher level to include 5 points in higher level Mathematics.

We also welcome and accept students with a wide range of alternative UK and international equivalent qualifications.

If you do not meet our entry criteria above you may be eligible for entry to Leeds via the Access to Leeds scheme, the Interdisciplinary Science Foundation Course or the International Foundation Year.

English language requirements: GCSE English Language grade C (or above) or an equivalent recognised English Language qualification.

How to apply

All undergraduate applications should be made through the Universities and Colleges Admissions Services (UCAS).

If you require any further information please contact our admissions team,
e: ugcomp@leeds.ac.uk t: +44 (0)113 343 5440.