Undergraduate Degrees

BSc Software Engineering ( G600 )

UCAS Course Code:: G600
Duration:: 3 years
Attendance:: Full Time
Award:: Degree of Bachelor of Science
School of Study:: Computing Sciences
Brochure:: School of Computing Sciences Undergraduate Brochure (PDF)
Typical A-Level Offer:: ABB

Overview
Why Choose Us
Course Profile
Requirements
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Why take this course?

The BSc in Software Engineering (G600) is a specialised degree that is designed to provide a solid foundation of the key concepts and technologies for a successful career in software engineering and system development. The degree teaches skills that are directly applicable to real-world software development, such as object-oriented design, software development processes and advanced programming concepts. As a result, material taught in lectures is reinforced by practical laboratory classes and workshops. A significant proportion of the assessment of this degree is made on various software development projects that you will take part in - both individually and in group working. Our academic faculty has considerable experience in the design and implementation of real-world software development projects for external companies, specialising in the areas of web-design, databases, computer networks and information retrieval. These links with business and industry are exploited in the degree, by setting real-world problems and using real data in practical projects and coursework.

Contact time

Students have on average 15 hours of contact time per week with teaching staff through lectures, laboratory sessions and seminars, though this may vary depending on module choices. Additionally, students should allocate at least 25 hours per week for study, coursework assignments and projects.

Contact: admissions@uea.ac.uk

The School of Computing Sciences (CMP) has an excellent reputation in teaching. 90% Satisfied with teaching in Guardian University Guide 2013.

The school offers undergraduate and postgraduate degree courses in Computing Science and subject areas allied to it that include computer graphics, computer systems engineering, actuarial sciences, business information systems and computational biology.

All of our degree courses are designed to give you a flexible structure that enables you to choose subjects that interest you and that are aligned with your career aspirations.
You will be taught by academics at the cutting edge of their respective fields. In the last research assessment exercise 95% of our research was regarded as world-leading or as internationally excellent or recognised.
The School of Computing Sciences has an excellent reputation in teaching having been awarded the top grade of ‘commendable’ in all categories from the Quality Assurance Agency (QAA).
Our undergraduate computing degrees have full Chartered IT Professional (CITP) accreditation (many of the Masters programmes also have the Further Learning Element status)as well as leading to Chartered Engineer (CEng) status from the (BCS - The Chartered Institute for IT).
Much of our work is concerned with real-world problems and applications and we have excellent links with industry both for our teaching and research.
The facilities and student experience in the school are excellent. We have a range of different laboratories for students that cater for the different disciplines taught in the school. We also have a Help Desk that provides support for our students, as well as a student common room and a Staff Student Liaison Committee.
Our teaching is delivered in a variety of ways including lectures, laboratory classes, seminars and group projects. Our laboratory class and seminars are run with a 1-to-16 staff to student ratio ensuring you can obtain good support.
The School of Computing Sciences leads the university in utilizing its internationally recognized research commercially, through SYS Consulting, its Consulting company and through Knowledge Transfer Partnerships.
Our students also use their technical and entrepreneurial skills to play influential roles in the creation of companies such as Travel Republic, Evoke systems, Fyfo and Shoretech systems.

Compulsory Study (100 credits)

Students must study the following modules for 100 credits:

Name	Code	Credits
COMPUTING FUNDAMENTALS 1	CMPC1F02	20
The module introduces key concepts in discrete mathematics, logic and statistical analysis essential for any degree in computing. More...
COMPUTING SYSTEMS 1	CMPC1M01	20
The module is designed to introduce students to some of the principal technologies of contemporary computing systems and to software development in a web context. More...
COMPUTING SYSTEMS 2	CMPC1M02	20
The module is designed to provide students with: an overview of the organisational, cultural and technical context of current software development, experience of developing software in a web context, and an introduction to the principal architectures of contemporary computing systems. More...
PROGRAMMING 1	CMPC1M0Y	20
The purpose of the module is to give the student a solid grounding in the essential features of object-oriented computer programming using the Java programming language. The module is designed to meet the needs of a student who has not previously studied programming, although it is recognised that many will in fact have done so in some measure. On completing this module the student should be capable of developing, testing and documenting simple but non-trivial object-oriented programs, and of using the appropriate technical terminology in discussing these programs. More...
THE COMPUTING REVOLUTION	CMPC1F05	20
The module is designed to provide students with an overview of the history of computing, and an insight to likely developments. Report writing and team skills are developed. More...

Option A Study (20 credits)

Students will select 20 credits from the following modules:

Name	Code	Credits
MATHEMATICS FOR COMPUTING A	CMPC1F1Y	20
The module is designed to provide students who have not studied A level Mathematics with sufficient understanding of basic algebra to give them confidence to embark on the study of computing fundamentals. Various topics in discrete and continuous mathematics which are fundamental to Computer Science will be introduced. More...
MATHEMATICS FOR COMPUTING B	CMPC1F3Y	20
This module is designed for students with an A level (or equivalent) in Mathematics. For these students it provides an introduction to the mathematics of counting and arrangements, a further development of the theory and practice of calculus, an introduction to linear algebra and its computing applications and a further development of the principles and computing applications of probability theory. In addition 3D Vectors are introduced and complex numbers are studied. More...

Compulsory Study (80 credits)

Students must study the following modules for 80 credits:

Name	Code	Credits
DATA STRUCTURES AND ALGORITHMS	CMPC2M11	20
This is a compulsory module for all computing students and provides the necessary foundation in data and storage structures for all computing streams. In addition, the module emphasises systematic algorithm design and discusses algorithm analysis. At the same time, the module provides the student with the opportunity to reinforce and enhance the programming skills developed in the first year. More...
DATABASE SYSTEMS	CMPC2B08	20
This module covers most aspects of databases, database manipulation and database management systems. The module is mainly based on the relational model, although other models are also discussed. The students will explore the tools and methods for database design as well as the programming of database applications. Part of the practical experience gained will be acquired using a modern commercial relational database management system. Students will also gain programming experience using SQL, and using the Java JDBC interface. A high level language programming module is a pre-requisite. More...
SOFTWARE ENGINEERING 1	CMPC2M02	20
Software Engineering is one of the most essential skills for work in the software development industry. Students will gain an understanding of the issues involvedin designing and creating software systems from an industry perspective. They will be taught state of the art in phased software development methodology, with a special focus on the activities required to go from initial class model design to actual running software systems. These activities are complemented with an introduction into software project management and development facilitation. More...
SYSTEMS ANALYSIS	CMPC2B05	20
This module considers various activities associated with the development of all types of computer based information systems including project management, feasibility, investigation, analysis, logical and physical design, and the links to file design, software design, and user interface design. It makes use of a number of analysis and design tools and techniques in order to produce readable system specifications. Students are introduced to a number of development methods including structured, object oriented, soft systems, participative, iterative and rapid approaches. More...

Option A Study (20 credits)

Students will select 20 credits from the following modules:

Name	Code	Credits
APPLIED STATISTICS A	CMPC2S10	20
This is a module designed to give students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have some background in probability and statistics before taking this module. The aim is to cover 4 topics from a list including: Estimating population abundance, Extremes and quartiles, Linear models, Bootstrap methods and their application, Sample surveys, Simulations, Subjective statistics, Forecasting and Clustering methods. The topics on offer may vary to cover the interests of those in the class. More...
ARCHITECTURES AND OPERATING SYSTEMS	CMPC2M09	20
This module studies the organization of both the system software and the underlying hardware architecture in modern computer systems. The role of concurrent operation of both hardware and software components is emphasized throughout, and the central concepts of the module are reinforced by practical work involving Lego robots and Java programming exercises. More...
ARTIFICIAL INTELLIGENCE	CMPC2A12	20
This module aims to introduce concepts of classical Artificial Intelligence. Topics include an introduction to a logic programming language, knowledge representation, expert systems, case base reasoning, problem solving paradigms and game playing. More...
CIRCUITS AND SYSTEMS	CMPE2D01	20
This module introduces students to techniques for analysis of analogue electronic circuits and systems. The module comprises lectures, workshops and laboratories. Workshops develop analytical and problem solving skills. Practical exercises and projects, undertaken in the Lewin Laboratory support the underpinning theory and enable students to build a range of simple electronic devices, e.g. AM comms system, video-scope, digital thermometer, etc. More...
DIGITAL SYSTEMS DESIGN	CMPE2D04	20
This module is concerned with the design and implementation of digital electronic systems that form basic components of modern computers. Topics include an introduction to switching algebra, synthesis of combinational and sequential circuits and techniques for circuit minimization. The module also provides a practical introduction to VHDL, an industry standard hardware description language. Students gain practical experience by undertaking a number of projects based on programmable logic devices. More...
FURTHER MATHEMATICS	CMPC2F01	20
This module is for those students who have passed CMPC1F01 in their first year and would like to study further theory that is a pre-requisite for several other 2nd and 3rd level modules in CMP. For such students it provides an introduction to the mathematics of counting and arrangements, a further development of the theory and practice of calculus, an introduction to linear algebra and its computing applications and a further development of the principles and computing applications of probability theory. More...
GRAPHICS I	CMPC2G04	20
This module covers the basics of computer graphics for all computer scientists and concentrates on two-dimensional and three-dimensional graphics fundamentals. It puts an emphasis on 2D graphics, algorithms, interaction and OpenGL. Other topics covered include fonts, algorithms for line drawing, curves, clipping and colour. Ability to program is a pre-requisite. An introduction to C++ will be presented as part of the module. More...
INTRODUCTION TO COMPUTATIONAL BIOLOGY	CMPC2B06	20
Computational biology is one of the great growth areas of both computing sciences and biology due to the development of robotic systems that are able churn out vast amounts of biological data. The challenge computational biologists' face involves turning this data into understanding. This data is often in the form of DNA, RNA or protein sequence. Although an introduction to the basics of molecular biology will be given, the module will mainly focus on the computational methods used in computational biology and bioinformatics. Topics will include sequence analysis, structural genomics and protein modelling, phylogenetics and evolution, and biological networks. Lecturers will highlight the relevance of the material to cutting-edge research. More...
PROGRAMMING 2	CMPC2M13	20
This is a compulsory module for all computing students and is a continuation of 1M0Y/1X04. It contains greater breadth and depth and provides students with the range of skills needed for many of their subsequent modules. We recap Java and deepen your understanding of the language by teaching topics such as nested classes, generics, swing and threaded programming. We will also broaden your programming knowledge by giving you a basic grounding in Matlab and C++. More...
SOUND AND IMAGE I	CMPE2I06	20
There has recently been a huge growth in the power and sophistication of tools that enable people to manipulate images and sounds on computers, and the techniques underlying these tools are also key for the development of artificial intelligence. In this module, we study the nature of audio and video signals from devices such as cameras and microphones and how they are captured and represented on a computer. This includes the coverage of essential ideas of topics such as sampling, time, spatial and frequency domains, filtering, Fourier representation etc. and practical work (using MATLAB) on processing sounds and images to e.g. produce effects, extract information from, or recognize a sound or an image. More...
STATISTICAL METHODS	CMPC2S11	20
This is a first course in statistics. It introduces the essential ideas of statistics deriving the necessary distribution theory as required. The aim of the course is to discuss the essential concepts in statistics rather than just to give a list of techniques for specific problems. The focus will be on developing ideas in distribution theory and inference based on the likelihood function. In consequence in addition to ideas of sampling and limit laws, it will cover maximum likelihood estimation and inference based on the likelihood ratio. If possible some Bayesian ideas will be introduced. While this course deals with concepts we shall aim to show how these are motivated by real problems More...
THEORETICAL COMPUTING	CMPC2F02	20
A required module for Computer Science students starting after 2007, this module provides an introduction to computing theory with an emphasis on its application within software development. Topics covered include syntax and semantic models, prepositional and predicate calculus and formal correctness proofs. More...

Free Choice Study (20 credits)

Students will select modules worth 20 credits from the course catalogue with the approval of their School

Compulsory Study (80 credits)

Students must study the following modules for 80 credits:

Name	Code	Credits
COMPUTING PROJECT	CMPC3P2Y	40
Available to any student registered in the School of Computing Sciences, the objective of this module is to enable students to gain experience of independent project work, both from a technical and an organisational standpoint. Each student will be allocated to a supervisor who will offer technical guidance and advise on presentation of reports. More...
SOFTWARE ENGINEERING II	CMPC3M08	20
Using data-centric software engineering principles, this module explores the development of distributed, industrial-strength information systems for Web-based implementations. Topics include dynamic object-oriented system design, the use of persistent objects with Relational databases, business models, business objects, and the practical design and implementation for an architecture n-tier, server-based, systems environment. The use of these techniques, for both e-Commerce and other systems, will be discussed. Coursework will concentrate on the practical use of Java Enterprise Edition version 5 (Java EE 5)-based techniques. Confidence in Java programming language skills and knowledge of Java SE 5 enhancements are pre-requisites. More...
SYSTEMS ENGINEERING	CMPC3B10	20
This module draws together a wide range of material and considers it in the context of developing modern large-scale computer systems. Topics such as Outsourcing, Process Improvement, System Failure, Project Management, Configuration Management, Maintainability, Legacy Systems and Re-engineering, Acceptance and Performance Testing, Metrics and Human Factors are covered in this module. The module is supported by a series of industrial case studies and includes speakers from industry. More...

Option A Study (20 credits)

Students will select 20 credits from the following modules:

Name	Code	Credits
ADVANCED GRAPHICS	CMPC3G02	20
This is an advanced module aiming to acquaint the student with the techniques of three-dimensional modelling, high-quality rendering, ray tracing, radiosity and modern 3D graphics hardware. It also introduces computational geometry which is the study of algorithms and data structures for solving geometric problems on a computer. The module is a logical continuation of Graphics I and II. More...
ADVANCED STATISTICS	CMPC3C12	20
This module covers three topics in statistical theory. For this year they are Regression and Linear Model, Generalised Models and Non-parametric Methods. The first two topics consider both the theory and practice of statistical model fitting and students will be expected to analyse real data. The third topic is chosen to be a contrasting one. Non-parametric methods are a vital part of the statisticians armoury and cheap computing makes such techniques very powerful. We look at the traditional permutation based methods as well as the empirical distribution function. More...
APPLIED STATISTICS A	CMPC2S10	20
This is a module designed to give students the opportunity to apply statistical methods in realistic situations. While no advanced knowledge of probability and statistics is required, we expect students to have some background in probability and statistics before taking this module. The aim is to cover 4 topics from a list including: Estimating population abundance, Extremes and quartiles, Linear models, Bootstrap methods and their application, Sample surveys, Simulations, Subjective statistics, Forecasting and Clustering methods. The topics on offer may vary to cover the interests of those in the class. More...
ARCHITECTURES AND OPERATING SYSTEMS	CMPC2M09	20
This module studies the organization of both the system software and the underlying hardware architecture in modern computer systems. The role of concurrent operation of both hardware and software components is emphasized throughout, and the central concepts of the module are reinforced by practical work involving Lego robots and Java programming exercises. More...
ARTIFICIAL INTELLIGENCE	CMPC2A12	20
This module aims to introduce concepts of classical Artificial Intelligence. Topics include an introduction to a logic programming language, knowledge representation, expert systems, case base reasoning, problem solving paradigms and game playing. More...
CIRCUITS AND SYSTEMS	CMPE2D01	20
This module introduces students to techniques for analysis of analogue electronic circuits and systems. The module comprises lectures, workshops and laboratories. Workshops develop analytical and problem solving skills. Practical exercises and projects, undertaken in the Lewin Laboratory support the underpinning theory and enable students to build a range of simple electronic devices, e.g. AM comms system, video-scope, digital thermometer, etc. More...
COMPUTER VISION (FOR DIGITAL PHOTOGRAPHY)	CMPC3I16	20
This module covers the various stages in processing the image recorded at the sensor level in a camera so that the output is an attractive photographic image. The first half of the course will cover topics including demosiacking, denoising, white point correction, dynamic range compression and image rendering. The second half will look at higher level functions such as finding faces in images, content recognition (including face recognition) and facial coding in images. The last topic is particularly interesting in the context of mobile phone applications. More...
DIGITAL SYSTEMS DESIGN	CMPE2D04	20
This module is concerned with the design and implementation of digital electronic systems that form basic components of modern computers. Topics include an introduction to switching algebra, synthesis of combinational and sequential circuits and techniques for circuit minimization. The module also provides a practical introduction to VHDL, an industry standard hardware description language. Students gain practical experience by undertaking a number of projects based on programmable logic devices. More...
ELECTRICITY GENERATION AND DISTRIBUTION	ENG-3E02	20
This module builds on the introductory material of the first and second year theme of electricity by studying the technical aspects, e.g. transformer design, cable constraints, of the provision of a national grid for electricity together with the practical aspects and costs involved. Detailed consideration of the various contributions to demand and their mis-match with supply will lead naturally to considerations of the established and novel methods for storing electricity, e.g. pumped-storage schemes or super-capacitors.
EMBEDDED SYSTEMS	CMPE3D02	20
Embedded processors are at the core of a huge range of products e.g. mobile telephones, cameras, passenger cars, washing machines, DVD players, medical equipment, etc. The embedded market is currently estimated to be worth around 100x the 'desktop' market and is projected to grow exponentially over the next decade. This module builds on the material delivered in CMPC2M09 to consider the design and development of real-time embedded system applications for commercial off the shelf (COTS) processors running real-time operating systems (RTOS) such as eLinux. More...
GRAPHICS I	CMPC2G04	20
This module covers the basics of computer graphics for all computer scientists and concentrates on two-dimensional and three-dimensional graphics fundamentals. It puts an emphasis on 2D graphics, algorithms, interaction and OpenGL. Other topics covered include fonts, algorithms for line drawing, curves, clipping and colour. Ability to program is a pre-requisite. An introduction to C++ will be presented as part of the module. More...
GRAPHICS II	CMPC3G91	20
This module introduces the fundamentals of 3D transformations and viewing using OpenGL. It teaches the theory and implementation of fundamental visibility determination algorithms and techniques for lighting, shading and anti-aliasing. Issues involved with modern high performance graphics processor are also considered. More...
INFORMATION RETRIEVAL	CMPC3M03	20
The module explores the development of Information Retrieval technologies, which have been driven by large increases in on-line documents and the Internet search engines. The main topics covered include information retrieval models and architecture, Web-based retrieval, multimedia retrieval, common NLP techniques and their role in IR. Previous experience of a high level programming language is required, and either CMPS2B23 or CMPS2B26 are desirable pre-requisites. More...
INTRODUCTION TO COMPUTATIONAL BIOLOGY	CMPC2B06	20
Computational biology is one of the great growth areas of both computing sciences and biology due to the development of robotic systems that are able churn out vast amounts of biological data. The challenge computational biologists' face involves turning this data into understanding. This data is often in the form of DNA, RNA or protein sequence. Although an introduction to the basics of molecular biology will be given, the module will mainly focus on the computational methods used in computational biology and bioinformatics. Topics will include sequence analysis, structural genomics and protein modelling, phylogenetics and evolution, and biological networks. Lecturers will highlight the relevance of the material to cutting-edge research. More...
MACHINE LEARNING	CMPC3A01	20
This module covers the core topics that dominate machine learning research: classification, clustering and reinforcement learning. We describe a variety of classification algorithms (e.g. Neural Networks, Decision Trees and Learning Classifier Systems) and clustering algorithms (e.g. k-NN, PAM and BIRCH) and discuss the practical implications of their application to real world problems. We then introduce a range of popular techniques used in reinforcement learning and describe their application to control problems such as maze solving. The module will adopt a practical approach by considering a number of case studies drawn from current research being conducted in CMP in the fields of data mining, computer vision and speech processing. More...
NETWORKS	CMPC3M06	20
This module introduces the important concepts in data transmission and computer network design, implementation and management. Architectures and protocols for both local and wide-area networks are studied in detail with an emphasis on performance evaluation and real-time use. An emphasis is placed on issues concerned with real-time delivery of data and maintaining quality of service, for example through study of applications such as voice over IP. More...
SOUND AND IMAGE I	CMPE2I06	20
There has recently been a huge growth in the power and sophistication of tools that enable people to manipulate images and sounds on computers, and the techniques underlying these tools are also key for the development of artificial intelligence. In this module, we study the nature of audio and video signals from devices such as cameras and microphones and how they are captured and represented on a computer. This includes the coverage of essential ideas of topics such as sampling, time, spatial and frequency domains, filtering, Fourier representation etc. and practical work (using MATLAB) on processing sounds and images to e.g. produce effects, extract information from, or recognize a sound or an image. More...
SOUND AND IMAGE II	CMPE3I07	20
This module continues the exploration of computer processing of sound and image signals begun in Sound and Image I. In the “sound” component, we focus on speech processing, a technology that has already had a huge impact and holds great promise for the future. We cover: 1) speech-coding, which enables us to understand how one of the most significant technologies of recent times (the mobile telephone) is able to transmit speech at a low data-rate; 2) speech recognition, which is now becoming commonplace in interactive voice systems; and 3) speech synthesis. In the “image” component, we focus on the analysis of image signals and learn how to apply advanced filtering and enhancement techniques to images to restore them, and the basics of computer vision systems. These concepts are re-enforced with practical coursework, which gives students hands-on experience of processing audio and video signals. More...
STATISTICAL METHODS	CMPC2S11	20
This is a first course in statistics. It introduces the essential ideas of statistics deriving the necessary distribution theory as required. The aim of the course is to discuss the essential concepts in statistics rather than just to give a list of techniques for specific problems. The focus will be on developing ideas in distribution theory and inference based on the likelihood function. In consequence in addition to ideas of sampling and limit laws, it will cover maximum likelihood estimation and inference based on the likelihood ratio. If possible some Bayesian ideas will be introduced. While this course deals with concepts we shall aim to show how these are motivated by real problems More...
THEORETICAL COMPUTING	CMPC2F02	20
A required module for Computer Science students starting after 2007, this module provides an introduction to computing theory with an emphasis on its application within software development. Topics covered include syntax and semantic models, prepositional and predicate calculus and formal correctness proofs. More...

Free Choice Study (20 credits)

Students will select modules worth 20 credits from the course catalogue with the approval of their School

Disclaimer

Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules and regular (five-yearly) review of course programmes. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, there will normally be prior consultation of students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff or sabbatical leave. Where this is the case, the University will endeavour to inform students.

Entry Requirements

Qualification:: BTEC National Diploma: DDM
A Level:: ABB
International Baccalaureate:: 32 points overall inc. 3 HL subjects at Grade 6
Scottish Highers:: AABBB
Scottish Advanced Highers:: ABB
Irish Leaving Certificate:: AABBBB
Access Course:: See below
European Baccalaureate:: 75% overall

Students for whom English is a Foreign language

We welcome applications from students from all academic backgrounds. We require evidence of proficiency in English (including writing, speaking, listening and reading). Recognised English Language qualifications include:

IELTS: 6. overall (minimum 5.5 in any component)
TOEFL: Internet-based score of 78 overall (minimum 20 in Speaking component, 17 in Writing and Listening components and 18 in Reading components.
PTE: 55 overall (minimum 51 in any component).

If you do not meet the University's entry requirements, our INTO Language Learning Centre offers a range of university preparation courses to help you develop the high level of academic and English skills necessary for successful undergraduate study.

Interviews

The majority of candidates will not be called for an interview. However, for some students an interview will be requested. These are normally quite informal and generally cover topics such as your current studies, reasons for choosing the course and your personal interests and extra-curricular activities.

Gap Year

We welcome applications from students who have already taken or intend to take a gap year, believing that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry and may wish to contact the appropriate Admissions Office directly to discuss this further.

Special Entry Requirements

We ask our applicants to have at least one of the following A Levels (or equivalent): Mathematics, Physics, Chemistry, Biology, Computing, Electronics or Economics.

General Studies and Critical Thinking are not accepted.

Intakes

The School's annual intake is in September of each year.

Alternative Qualifications

We encourage you to apply if you have alternative qualifications equivalent to our stated entry requirement. Please contact us for further information.

Pass the Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 9 Level 3 credits, including 12 Level 3 credits in either Mathematics, Science or Economics related subjects.

GCSE Offer

Students are required to have Mathematics at a minimum of grade B and English Language at minimum of Grade C or above at GCSE Level.

Fees and Funding

Undergraduate University Fees

We are committed to ensuring that Tuition Fees do not act as a barrier to those aspiring to come to a world leading university and have developed a funding package to reward those with excellent qualifications and assist those from lower income backgrounds. Full time UK/EU students starting an undergraduate degree course in 2013 will be charged a tuition fee of £9,000. The level of fee may be subject to yearly increases. Full time International students starting an undergraduate degree course in 2013 will be charged a tuition fee of £14,400. The level of fee may be subject to yearly increases.

Scholarships and Bursaries

Home/EU - The University of East Anglia offers a range of Bursaries and Scholarships. To check if you are eligible please visit http://www.uea.ac.uk/study/undergraduate/finance/university-financial-support.

International Students - The University offers around £1 million of Scholarships each year to support International students in their studies. Scholarships are normally awarded to students on the basis of academic merit and are usually for the duration of the period of study. Our University international pages gives you more details about preparation for studying with us, including Fees and Funding http://www.uea.ac.uk/international.

How to Apply

Applications need to be made via the Universities Colleges and Admissions Services (UCAS), using the UCAS Apply option.

UCAS Apply is a secure online application system that allows you to apply for full-time Undergraduate courses at universities and colleges in the United Kingdom. It is made up of different sections that you need to complete. Your application does not have to be completed all at once. The system allows you to leave a section partially completed so you can return to it later and add to or edit any information you have entered. Once your application is complete, it must be sent to UCAS so that they can process it and send it to your chosen universities and colleges.

The UCAS code name and number for the University of East Anglia is EANGL E14.

Further Information

If you would like to discuss your individual circumstances with the Admissions Office prior to applying please do contact us:

Undergraduate Admissions Office

Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk

request a copy of our latest prospectus and subject brochures
get access to exclusive information personalised to your interests
keep up to date with news and events at UEA.

International candidates are also actively encouraged to access the University's International webpages.