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School of Computing

Computer Science with Distributed Systems MEng, BSc

Intelligent Systems

Overview

This course highlights the technical and social aspects of networking in our fully
connected world, drawing on our research expertise in distributed computing and semantic-web technology.

In addition to core computer science subjects you will specialise in areas of infrastructure and systems performance for the next generation of distributed and internet computing.

Lectures are the primary form of teaching and these are supported by small-group sessions, workshops and laboratory sessions. Project work is used at all levels to allow you to study individual topics in more depth. Skill development is enhanced through group work, presentations, problem-solving activities and training in project management.

The following degree courses: Computer Science, Computer Science with Artificial Intelligence and Computer Science with Distributed Systems have a common first year that focuses on the fundamentals of programming and the underlying mathematical principles of computer science. A key benefit of having a common first year is that you can easily switch between these programmes.

UCAS code: G4T5 (MEng, BSc) or G4T6 (BSc)
Industrial placements: Yes
Study abroad: Yes
Course duration: 3, 4 or 5 years depending on option taken.
Start date: September
Course fees: 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.

Modules

The table below shows the modules that you will study if you commence your studies in September 2015. This information is taken from the University Programme Catalogue, which is a tool designed for current students to select modules.

If you are looking to start your studies in September 2016 it will give you a flavour of what you will study.

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

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

Year 1

Compulsory modules Credits
Databases 10
Computer Architecture 10
Computer Processors 10
Fundamental Mathematical Concepts 10
Introduction to Discrete Mathematics 10
Procedural Programming 10
Object Oriented Programming 10
Professional Computing 20
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
Networks 10
Formal Languages and Finite Automata 10
Numerical Computation 20
Artificial Intelligence 10
Algorithms and Data Structures 1 10
Algorithms and Data Structures 2 10
User Interfaces 10
Software Engineering 20
   
Optional modules (take up to 20 credits)  
Data Mining 10
Web Application Development 10
Social and Mobile Web Application Development 10
Discovery modules up to 20

Year 3

Compulsory modules Credits
Distributed Systems 10
Parallel Computation 10
Mobile Application Development 10 
Individual Project 40
   
Optional modules (take 50 credits)  
Web Services and Web Data  
Data Science 10
Cryptography 10
Programming Languages and Compilation 10
Robotics 20
Information Visualization 10
User Adaptive Intelligent Systems 10
Computer Graphics
10
Combinatorial Optimisation 10
Secure Computing 10
Graph Algorithms and Complexity Theory 10

Year 4 (MEng)

Compulsory modules Credits
Group Project 30
Cloud Computing 15
Advanced Software Engineering 15
   
Optional modules (take 60 credits)  
Big Data Systems 15
Bio-Inspired Computing 15
Knowledge Representation and Machine Learning 15
Data Mining and Text Analytics 15
Semantic Technologies and Applications 15
Image Analysis 15
Scientific Visualization 15
Software Engineering 15
Scientific Computation 15
Graph Theory: Structure and Algorithms 15


Career options

The need for an intelligent, secure and dependable infrastructure arises in many different disciplines and industries. Our graduates therefore find employment in a very broad range of sectors, from the traditional IT providers to telecommunications, retail, finance, public authorities and consultancies.

Recent graduate positions from the School include:

• Production Project Manager, BAE Systems
• Mobile Solution Engineer, Barclays
• Software Developer, British Sky Broadcasting
• Graduate Software Engineer, BT
• Technology Consulting Analyst, Deloitte
• Software Developer, Gazprom
• Graduate Software Engineer, IBM
• Graduate Trainee, IG
• Program Manager, Microsoft
• Business System Analyst, Saudi Aramco
• Research Engineer, Toshiba Research Europe Ltd

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 including Mathematics or Computing, excluding General Studies.

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

BTEC Extended Diploma: D*DD including a D in Further Mathematics.

IB: 35 points overall, with 18 points at higher level to include 5 points in higher 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: ugcomp@leeds.ac.uk t: +44 (0)113 343 5440.