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School of Computing

Applied Computer Science MEng, BSc

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Computing is used in all sectors and industries the world over. By studying Applied Computer Science at Leeds you learn not just the core areas (programming, algorithms, software engineering) but also the technologies and skills to apply computing to important problems in business, engineering, medicine and science.

This degree course starts with the fundamentals of programming and algorithms. You will then explore their application in web technologies and data analytics and how technologies such as cloud and mobile computing can be used to solve existing and emerging IT challenges.

Lectures are the primary form of teaching and these are supported by small-group sessions, workshops and laboratory sessions. Project work is used extensively at all levels to allow you to study individual topics in more depth.

You will undertake both individual and group projects, which give you the opportunity to explore and develop essential skills such as problem solving, communications skills, time management and teamwork. Project work develops, as you progress through the course, from guided activities to role-based group work to individual research projects.

UCAS code: I400 (MEng, BSc) or I402 (BSc)
Industrial placements: Yes
Study abroad: Yes
Course duration: 3, 4 or 5 years depending on option taken.
Start date: September
Course fees (per year): UK/EU: £9,000; International: £18,000
Information about living expenses and financial support can be found on the University's website.
Scholarships: Scholarships worth up to £8,000 available.

Course Content

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Our courses have a modular structure where you will be required to study 120 credits per year.

Year 1

Compulsory modules Credits
Computer Processors 10
Computer Architecture 10
Introduction to Discrete Mathematics 10
Procedural Programming 10
Professional Computing 20
Databases 10
Fundamental Mathematical Concepts 10
Object Oriented Programming 10
Programming Project 10
Optional modules (take up to 20 credits)  
Programming for the Web 10
Introduction to Web Technologies 10
Discovery modules up to 20

Year 2

Compulsory modules Credits
Operating Systems 10
Formal Languages and Automata 10
Artificial Intelligence 10
Software Engineering 20
Networks  10
User interfaces 10
Algorithms and Data Structures 1 10
Optional modules (take up to 40 credits)  
Web Application Development 10
Social and Mobile Web Application Development 10
Numerical Computation 10
Data Mining 10
Algorithms and Data Structures 2 10
Discovery modules up to 20

Year 3

Compulsory modules Credits
Individual Project 60
Parallel Computation 10
Optional modules (take up to 80 credits)  
Data Science 10
Computer Graphics 10
Secure Computing 10
Cryptography 10
Information Visualization 10
Web Services and Web Data 10
Graph Algorithms and Complexity Theory 10
Combinatorial Optimisation 10
Distributed Systems 10
Mobile Applications Development 10
Programming Languages and Compilation 10
User Adaptive Intelligent Systems 10
Robotics 20

Year 4 (MEng)

Compulsory modules Credits
Group Project 30
Optional modules (take up to 90 credits)  
Big Data Systems 15
Scientific Computation 15
Graph Theory: Structure and Algorithms 15
Text Analytics And Natural Language Processing 15
Bio-Computation 15
Cloud Computing 15
Advanced Software Engineering 15
Scientific Visualization 15
Semantic Technologies and Applications 15
Research Project 15
Knowledge Representation and Machine Learning 15
Image Analysis 15

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.

Our graduates find employment in the IT industry, ranging from start-ups to international organisations, and across a range of other sectors including technology, retail, finance, public authorities and consultancies. We have graduates working for example at Barclays, BT Group – Openreach, CSC, EMIS, Ernst & Young, Fujitsu, Goodrich ISR Systems, Imagination Technologies, Microsoft and PepsiCo.

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.

With the help of our Employability team, we will make sure you are given every opportunity to secure a position before you graduate.

Entry requirements

We welcome students with a wide range of qualifications. If your qualification does not appear in the list below please contact our admissions team.

Entry requirements for the Integrated Masters (MEng, BSc) and the standalone BSc are the same.

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, excluding General Studies. You also require GCSE Mathematics grade B or above.

IT or Engineering Diploma: Grade A (plus evidence of significant element of Mathematics studied as part of the diploma).

BTEC Extended Diploma: D*DD and GCSE Mathematics grade B or above.

IB: 35 points overall, with 18 points at higher level to include 6 points in standard level Mathematics.

Country-specific equivalent qualifications
The Faculty's country-specific equivalent qualifications web page gives you an idea of the types of qualifications we accept.

English language requirement
GCSE English Language grade C (or above) or an equivalent recognised English Language qualification e.g. IELTS: 6.0 overall with at least 5.5 in each component of listening, reading, speaking and writing.

Our Language Centre provide the Academic English for Undergraduate Studies Pre-sessional course, which is designed to help international students develop their language and academic study skills.

Access to Leeds
We have a policy of welcoming applicants from non-traditional academic backgrounds. If you do not meet our entry criteria above, you may be eligible via the Access to Leeds scheme.

Foundation courses
If you do not have the formal qualifications for immediate entry to one of our degree, you may be able to progress through a foundation year. The University offers a one-year BSc Studies in Science for students without a science background at A-level and an Interdisciplinary Science Foundation Year for applicants who meet specific widening participation criteria.

Our International Foundation Year (IFY) is intended for international students who do not yet have the formal qualifications required for entry to level 1 of our degree courses.

How to apply

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

Once you have applied and your application has been reviewed by our admissions tutor, suitable applicants will be invited to an applicant day, which we encourage you to attend.

Applicant days are very different from the general university open days you may have attended. They will give you the opportunity to learn more about your course, meet our academic staff and current students, take part in group activities including sample lectures and practical programming tasks, and take a tour of our facilities and campus.

You will also have the opportunity for a one-to-one discussion with an academic member of staff. Where possible we will match you to our staff based on the interests expressed in the UCAS personal statement. This will give you the chance to discuss your motivations for study in more detail and ensure that this is the right course for you and your career plans. You will have all your questions answered and find out more about studying in the School.

We appreciate that not all applicants are able to attend an interview and in such cases the offer decision will be made based on the information on the UCAS form.

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