BSc (Hons) Computing Science

Key details

BSC (HONS) COMPUTING SCIENCE

Start Year

2023

Attendance

Full Time

Award

Degree of Bachelor of Science

UCAS course code

G400

Entry Requirements

ABB (specific subject requirements apply).

Duration (years)

Learn to program the future and prepare to excel in a range of computing fields, from the information systems of banks and businesses, to the creativity of gaming and web design, to AI, robotics, cloud computing, big data and lots, lots more.

This course is ideal if you’re a digital native who already lives and breathes computing, whether it’s through coding your own apps and websites, designing your own games, or building your own hardware. You’re most likely passionate about the contribution computing can, and does, make to humanity, in everything from arts, culture and entertainment, to business, health, communications, and society as a whole. You avidly follow the exciting developments of the field in the press and on blogs, and you can’t wait to contribute your own ideas and creativity to this always-evolving sector.

About

This course will prepare you to work in the rapidly changing field of computing. You’ll acquire a strong grounding in the theory of computing science, as well as gaining experience and skills in software engineering and problem solving. You’ll become a competent programmer in a range of modern general purpose languages such as Java, Python, C and C++. You’ll explore the underlying principles of the subject and learn to adopt a logical, systematic approach to developing solutions to real-world problems. You’ll also benefit from our particular expertise in artificial intelligence (AI), machine learning, computer vision, graphics, computational biology, data science and speech processing, as well as software engineering and systems engineering.

The nature of the subject means students have a wide range of backgrounds in programming, and mathematics. Whatever your experience, the course is flexible enough to ensure you’ll achieve the level of understanding at the end of year 1 that you need to master the material on the rest of the course.

In core modules, you’ll cultivate the essential skills of a computing professional, while in optional modules you’ll be able to sample some of the wide range of problems that arise in both research and industry. You will also gain transferable skills that will help your long-term development, such as working in teams, project management and presenting ideas.

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Important Information

Whilst the University will make every effort to offer the courses listed, changes may sometimes be made arising from the regular review of course programmes. Where this activity leads to significant (but not minor) changes to programmes, there will normally be prior consultation of students and others. Changes may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will inform students.

Assessment for Year 1

We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. Additionally, there is a synoptic project, covering material from all modules.

You’ll be assessed by a combination of:

Examination (approximately 30%)
Demonstrations and Presentations (approximately 40%)
Written assignments (approximately 30%)

Structure

In this three-year degree programme, you’ll start by mastering the core material underpinning computer science. You’ll also explore the areas of computing science that most spark your interest by choosing from a range of fascinating optional modules.

You’ll get to grip with the fundamentals of computing science with an emphasis on programming. And you’ll study mathematical modules and learn how they’ll be relevant to your future career.

Teaching and Learning

Teaching

You’ll learn through a mixture of lectures, seminars and lab classes – where the lab and seminar classes reinforce and expand on the lecture material.

We use a variety of programming languages depending on the devices and application areas we’re focusing on. Importantly, you’ll be working with the software development tools and practices used in the industry right now, building your experience in each year. Upon graduation you’ll have the technical ability to develop high quality software for a range of platforms.

Independent study

Alongside your formal learning, you’ll study independently to gain a deeper appreciation of specialist topics. In your final year project, you’ll explore a topic or work on a problem in depth, under the supervision of a member of the faculty.

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Open Days

Assessment for Year 2

We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. The balance of assessment types varies according to the options chosen. Additionally, there is a synoptic project, covering material from all modules.

You’ll be assessed by a combination of:

Examination (typically 30%)
Demonstrations and Presentations (typically 40%)
Written assignments (typically 30%)

Structure

In your second year, you’ll learn how computers and operating systems work, how to model and manipulate data and how to use advanced programming concepts. You’ll also work in a team to engineer large-scale solutions to problems. Alongside this, you’ll start to shape your own curriculum with a choice of optional modules.

Teaching and Learning

Teaching

You’ll learn through a mixture of lectures, seminars and lab classes – where the lab and seminar classes reinforce and expand on the lecture material.

Independent study

September 2023 opportunities. Discover more

Open Days

Assessment for Year 3

We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. The balance of assessment types varies according to the options chosen. Additionally, there is an individual project which is assessed through a combination of written work and demonstration or presentation.

You’ll be assessed by a combination of:

Examination (typically 20%)
Demonstrations and Presentations (typically 25%)
Project (30%)
Written assignments (typically 25%)

Structure

You’ll undertake an independent research project investigating a specialist area in more depth with one-to-one support from your academic supervisor. You will also select several optional modules from a range that reflect the School’s research interests and strengths.

All of our computer science courses follow an identical structure in the first two years. This means that you can easily transfer between them if you decide you want to incorporate a year abroad, a year in industry or continue on to Master’s level learning.

Teaching and Learning

Teaching

You’ll learn through a mixture of lectures, seminars and lab classes – where the lab and seminar classes reinforce and expand on the lecture material.

Independent study

September 2023 opportunities. Discover more

Open Days

Assessment for Year 1

You’ll be assessed by a combination of:

Examination (approximately 30%)
Demonstrations and Presentations (approximately 40%)
Written assignments (approximately 30%)

Compulsory Modules

PROGRAMMING 1

Code CMP-4008Y

Credits 20

In taking this module you will gain a solid grounding in the essential features of object-oriented programming, using a modern programming language such as Java. The module is designed such that you are not expected to have previously studied programming, although it is recognised that many students taking the module will have done so in some measure.

SYSTEMS DEVELOPMENT

Code CMP-4013A

Credits 20

The complexity of Computer Based Systems, appropriate development approaches, and their inherent activities will be discussed using case studies and guest speakers where appropriate. Emphasis will be placed on the processes involved with systems requirements, creative designs, and careful development, in a professional manner, ensuring that issues such as project management, safety, security and data protection are taken into account. The module will include a number of modelling techniques to support the systems development process. These will be put into practise during the group exercise that will run throughout the semester. There are also opportunities for students to hone their transferable skills through literature searching, report writing, seminar discussions and presentations.

COMPUTING PRINCIPLES

Code CMP-4002B

Credits 20

This module gives a theoretical and practical introduction to key sub-disciplines, and techniques in computing. Topics covered include identifying common patterns of computational organisation, computational building blocks in computer architecture, algorithmic complexity and evaluation. Though the majority of the topics covered are examined from a theoretical standpoint there are opportunities to build physical models to describe theoretical understanding e.g. design and construction of a finite state machine using a breadboard, LED’s, switches and Arduino micro-controller.

DATABASE SYSTEMS

Code CMP-4010B

Credits 20

This module is based on the relational model and will introduce you to important aspects of databases, database manipulation and database management systems. You will explore the tools and methods for database design and manipulation as well as the programming of database applications. You will use a modern relational database management system to gain practical experience. You will also develop programming experience using SQL, and using a high level programming language to write applications that access the database.

WEB-BASED PROGRAMMING

Code CMP-4011A

Credits 20

An understanding of the underlying mechanisms of the technologies used in the Internet and World Wide Web is essential for any Computing Science student. In this module you will be introduced to some of the tools and technologies used for web development. You will learn how to build an effective web application using the current industry standard Web technologies, including HTML, CSS and JavaScript. You will learn how to handle Web requests and implement backend server. In the latter part of the module you will master these technologies and undertake a practical approach to exploring them. You will also learn Web security issues along the way and able to apply good practices in your work.

Optional A Modules

(20 credits)

MATHEMATICS FOR COMPUTING A

Code CMP-4004Y

Credits 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 to you.

MATHEMATICS FOR COMPUTING B

Code CMP-4005Y

Credits 20

This module is aimed at students who have an A level grade C or above (or equivalent) in Mathematics. It will provide you with 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, matrices, 3D vectors are introduced, and complex numbers are studied.

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Open Days

Important Information

Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring and review of modules. Where this activity leads to significant change to a programme and modules, the University will endeavour to consult with affected students. 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. Availability of optional modules may be restricted owing to timetabling, lack of demand, or limited places. Where this is the case, you will be asked to make alternative module choices and you will be supported during this process.

Assessment for Year 2

We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. The balance of assessment types varies according to the options chosen. Additionally, there is a synoptic project, covering material from all modules.

You’ll be assessed by a combination of:

Examination (typically 30%)
Demonstrations and Presentations (typically 40%)
Written assignments (typically 30%)

Compulsory Modules

DATA STRUCTURES AND ALGORITHMS

Code CMP-5014B

Credits 20

This is a compulsory module for all computing students and builds on programming 2. The purpose of this module is to give the student a solid grounding in the design, analysis and implementation of algorithms and in the efficient implementation of a wide range of important data structures.

PROGRAMMING 2

Code CMP-5015A

Credits 20

This is a compulsory module for all computing students and is a continuation of programming 1. It contains greater breadth and depth and provides students with the range of skills needed for many of their subsequent modules. We introduce C in order to improve your low level understanding of how programming works. We recap Java and deepen your understanding of the language by teaching topics such as nested classes, enumeration, generics, reflection, collections and threaded programming. We also cover C++ and highlight the similarities and differences between languages.

ARCHITECTURES AND OPERATING SYSTEMS

Code CMP-5013A

Credits 20

Study the organisation of system software and the underlying hardware architecture in modern computer systems. The role of concurrent operation of hardware and software components is emphasised throughout this module. Central concepts are reinforced by practical work in the laboratory. The architectures portion of the module focuses on the components of a processor, including the registers and data path, and you will explore concepts such as instruction fetch cycles, instruction decoding and memory addressing modes. The operating systems component focuses on how the system software manages the competing demands for the system hardware, including memory management and disc and processing scheduling.

SOFTWARE ENGINEERING

Code CMP-5012B

Credits 20

Software Engineering is one of the most essential skills for work in the software development industry. You will gain an understanding of the issues involved in designing and creating software systems from an industry perspective. You will be taught state of the art phased software development methodologies focusing on the activities of initial class model design to actual operational software systems. These activities are complemented with an introduction into software project management and development facilitation.

Optional A Modules

(20 credits)

SYSTEMS ANALYSIS

Code CMP-5003A

Credits 20

This module considers various activities associated with the development of computer-based systems including business strategy, project management, feasibility, investigation methods, stakeholder management, analysis, the links to design and implementation, and managing change. Its main focus, however, is on the early stages, in particular requirements investigation and specification including the use of UML. It makes use of a number of analysis and design techniques in order to produce readable system specifications. Students are introduced to a number of development methods including object orientated, soft systems, participative, and agile approaches.

ANALOGUE AND DIGITAL ELECTRONICS

Code CMP-5027A

Credits 20

This module gives a practical introduction to analogue and digital electronics. Topics covered include components such as op-amps, transistors, logic gates, flip-flops and registers. You will learn how to design circuits such as amplifiers, oscillators, modulators, combinational and sequential logic and state machines. Much of the time on the module will be spent doing practical work where you will simulate and then construct prototypes circuits of the designs and then test them using a range of lab equipment. You will also design and build your own Printed Circuit Board (PCB).

INFORMATION RETRIEVAL

Code CMP-5036A

Credits 20

This module provides a practical introduction to search engines and how the need to provide more relevant and effective results to users has been driven by large increases of online documents. You will practice using multiple Python tools and techniques to learn how to create a basic search engine and then evaluate their effectiveness at returning relevant data to the user. This will involve working in pairs for the first assignment (creating a simple search engine) and then working individually for the second assignment, where you will code a slightly more complex system and perform experiments to prove or disprove each technique and tools usefulness within a search engine. You will then professionally present your findings via a live presentation.

Optional B Modules

(20 credits)

COMPUTER GRAPHICS

Code CMP-5010B

Credits 20

This module will provide you with an introduction to the fundamentals of computer graphics. You will gain a strong foundation in computer graphics, focusing on 3D real-time graphics, algorithms and interaction. You need to have a good background in programming to take this module. OpenGL is used as the graphics API with examples provided in the lectures and supported in the laboratory classes.

NETWORKS

Code CMP-5037B

Credits 20

This module explores how networks are designed to provide reliable, secure and fast delivery of data from one location to another. A layered approach is taken to simplify design with both the OSI 7-layer reference model and TCP/IP model studied. Many practical applications of networks are studied to put theory into context and this includes Voice over IP, network security and 4G and 5G networks. Lectures each week cover theory and examples or case studies, and are followed by laboratory sessions that involve practical implementation.

EMBEDDED SYSTEMS

Code CMP-5045B

Credits 20

Embedded processors are at the core of a huge range of products e.g. smartphones, watches, cars, medical equipment, etc. As those devices are usually small in size, limited computing and battery resources, the development of embedded system software introduces design and security challenges for developers. This module brings together those fundamental concepts and skills related to the secure embedded software development process.

FOUNDATIONS OF DATA SCIENCE

Code CMP-5046B

Credits 20

This module is designed as an optional module which can be taken by second and third year students within the Science Faculty. You will explore the methodology of Data Science through application of inferential statistical approaches and development of a basic machine learning classification model. You will adopt a programmatic approach to building and applying inferential statistical models in a browser based, interactive coding environment. In terms of data analysis, we will focus on regression and classification algorithms to build prediction models. Through this module, you will gain knowledge of algorithms and methods for data analysis, as well as practical experience programming in Python using popular libraries such as Numpy, Pandas, Polars, Scikit-learn, Matplotlib and Seaborne.

September 2023 opportunities. Discover more

Open Days

Important Information

Assessment for Year 3

We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. The balance of assessment types varies according to the options chosen. Additionally, there is an individual project which is assessed through a combination of written work and demonstration or presentation.

You’ll be assessed by a combination of:

Examination (typically 20%)
Demonstrations and Presentations (typically 25%)
Project (30%)
Written assignments (typically 25%)

Compulsory Modules

COMPUTING PROJECT

Code CMP-6013Y

Credits 40

This module will give you experience of independent project work through the development of research and application involving a significant amount of computing science knowledge and skills, for example, in design/implementation of algorithms, software, or hardware systems. It will also provide, via the lecture programme, a primer on the law, ethical and professional behaviour, project management, reporting and other aspects of being a computer scientist. You will be allocated a supervisor and will be expected to work closely together on a mutually agreed project.

Optional A Modules

(20-40 credits)

MACHINE LEARNING

Code CMP-6002A

Credits 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 Deep Learning) and clustering algorithms (e.g. k-NN and PAM) and discuss the practical implications of their application to real world problems. We then introduce reinforcement learning and the Q-learning problem and describe its application to control problems such as maze solving.

AUDIOVISUAL PROCESSING

Code CMP-6026A

Credits 20

This module explores how computers process audio and video signals. In the audio component, the focus is on understanding how humans produce speech and how this can be processed by computer for speech recognition and enhancement. Similarly, the visual component considers the human eye and camera, and how video is processed by computer. The theoretical material covered in lectures is reinforced with practical laboratory sessions. The module is coursework only and requires you to build a speech recogniser capable of recognising the names of students studying the module using both audio and visual speech information.

HUMAN COMPUTER INTERACTION

Code CMP-6039A

Credits 20

Human Computer Interaction (or UX) covers a very wide range of devices, including conventional computers, mobile devices and “hidden” computing devices. In this module you will learn about interactions from a variety of perspectives, such as cognitive psychology, ethnographic methods, security issues, UI failures, the principles of good user experience, heuristic and experimental evaluation approaches and the needs of a range of different audiences.

INTRODUCTION TO CYBER SECURITY

Code CMP-6044A

Credits 20

This module provides a broad understanding of the core topics and issues relating to the rapidly evolving world of cyber security. As security becomes an increasingly important part of our daily lives, then it is essential to develop an understanding of the theories of security and their application to the wider world. Introduction to Cyber Security covers topics including: the value of data and the role of security, of risk and threat modelling, human aspects of cyber security, social engineering, deception, and cyber and information warfare. The module prepares you with essential knowledge and understanding of cyber security and provides the tools for further study and research in specialist areas.

ADVANCED PROGRAMMING

Code CMP-6048A

Credits 20

The advanced programming module aims to take your understanding of programming languages beyond their mere application in real world apps. As such, the emphasis of the module is on the architecture of programming languages, classified into paradigms that include procedural, object-oriented and functional. In particular, the functional or “declarative” paradigm will be covered in depth. Another substantial part is on compilers and interpreters, i.e. programs that turn higher level programs into machine language or alternatively, transpilers, that translate to another established language. Code optimisation, high performance computing (HPC) and parallel programming concepts will be covered including applications of GPU programming using CUDA and OpenCL. Any General Purpose Language (GPL), old and new, may be used in lecture note examples. Applications of functional programming will adopt the F# functional programming language. IMPORTANT NOTE: This module does not cover web- or mobile app-based programming nor “advanced software engineering” concepts.

Optional B Modules

(20-40 credits)

SYSTEMS ENGINEERING

Code CMP-6003B

Credits 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 Systems Thinking, Causal Loop Diagrams, Systems Failure, Outsourcing, Quality, Risk Management, Measurement, Project Management, Software Process Improvement, Configuration Management, Maintainability, Testing, and Peopleware are covered in this module. The module is supported by well documented case studies and includes guest speakers from industry.

COMPUTER VISION

Code CMP-6035B

Credits 20

Computer Vision is about “teaching machines how to see”. You will study methods for acquiring, analysing and understanding images in both lectures and laboratories. The practical exercises and projects that you undertake in the laboratory will support the underpinning theory and enable you to implement contemporary computer vision algorithms.

ARTIFICIAL INTELLIGENCE

Code CMP-6040B

Credits 20

This module will introduce you to core techniques in Artificial Intelligence. Topics covered may include state space representation and search algorithms, knowledge representation, expert systems, Bayesian networks, Markov Models, Neural networks, Deep learning, and an Introduction to Robotics and Drone.

DEVELOPING SECURE SOFTWARE

Code CMP-6045B

Credits 20

This module provides a practical introduction to Cyber Security, focusing on methods, tools and techniques for delivering robust, usable and secure web-based software. Students will learn the importance of designing and developing secure software by evaluating a range of software security threats and vulnerabilities, then mitigating these potential impacts. The module also covers ethical hacking and structured approaches to security testing. Groups will be created in week 2 and you will then work as a small development team from weeks 2 to 12, with the module running like a standard industry development project. This will involve your team completing everything from early research of security vulnerabilities and threats through to full development of a secure and usable web-based software system.

UBIQUITOUS COMPUTING

Code CMP-6046B

Credits 20

In this module we will introduce the multifaceted topic of Ubiquitous Computing. You will learn about how computing power can be taken away from desktop computer setting and be applied anywhere. The module draws upon many other areas such as Signal Processing, Machine Learning, Human Computer Interaction, Internet of Things, Networks, and the use of hardware. This is a project and coursework orientated module with an emphasis on developing your own ideas to gain the skills needed to take the power of computing to be everywhere.

GAMES DEVELOPMENT

Code CMP-6056B

Credits 20

The Games Development module has a strong hands-on element to it by focusing on the implementation of an industry-grade video game in one of the two well-established games engines, i.e. Unity and Unreal (UE5). As such, the taught element largely comprises tutorials on each of these two engines. However, a number of more traditional lectures on video game design, character animation, game AI and procedural content generation (PCG) are also delivered as part of the taught component. The practical is entirely focused on developing a video game with two evaluation stages, i.e. design and final implementation. IMPORTANT NOTE: Students are strongly encouraged to take the Computer Graphics module in Year 2 if they have not already done so.

Optional C Modules

(0-20 credits)

SYSTEMS ANALYSIS

Code CMP-5003A

Credits 20

ANALOGUE AND DIGITAL ELECTRONICS

Code CMP-5027A

Credits 20

INFORMATION RETRIEVAL

Code CMP-5036A

Credits 20

Optional D Modules

(0-20 credits)

COMPUTER GRAPHICS

Code CMP-5010B

Credits 20

NETWORKS

Code CMP-5037B

Credits 20

EMBEDDED SYSTEMS

Code CMP-5045B

Credits 20

FOUNDATIONS OF DATA SCIENCE

Code CMP-5046B

Credits 20

September 2023 opportunities. Discover more

Open Days

Important Information

Entry Requirements

A Levels

ABB including one A-Level in Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics. If you are taking an EPQ and three A-levels, we may offer you a one grade reduction on our advertised typical offer, if you achieve an A in the EPQ.

T Levels

Obtain an overall Pass including a B in the core of the T Level and a Distinction in the Occupational Specialism. Acceptable subjects are: Science, Design Surveying and Planning for Construction, Digital Production Design and Development, Digital Business Services, Digital Support Services.

BTEC

DDM acceptable in an IT, Engineering or Science-based subject, excluding BTEC Public Services, Uniformed Services and Business Administration.

Scottish highers

AAABB including Grade A in Mathematics, Computing Science, Chemistry, Physics or Economics.

Scottish highers advanced

BCC including Mathematics, Computing Science, Chemistry, Physics or Economics.

Irish leaving certificate

3 subjects at H2, 3 subjects at H3 including Mathematics, Computing Science, Chemistry, Physics or Economics.

Access course

Pass the Access to HE Diploma with Distinction in 30 credits at Level 3 and Merit in 15 credits at Level 3, including 12 credits in Mathematics, Computing, Physics, Electronics or Economics.

European Baccalaureate

75% overall with 7 in Mathematics, Computing Science, Chemistry, Physics or Economics.

International Baccalaureate

32 points including HL5 in Mathematics, Computing Science, Chemistry, Physics or Economics.

GCSE offer

You are required to have Mathematics at a minimum of Grade B or Grade 5 and English Language at a minimum of Grade C or Grade 4 at GCSE.

Additional entry requirements

UEA are committed to ensuring that Higher Education is accessible to all, regardless of their background or experiences. One of the ways we do this is through our contextual admissions schemes.

We welcome and value a wide range of alternative qualifications. If you have a qualification which is not listed here, please contact us via Admissions Enquiries.

A-Level General Studies and Critical Thinking are not accepted. Where applicable Science A Levels awarded by an English Exam board require a pass in the practical element.

If you do not meet the academic requirements for direct entry, you may be interested in one of our Foundation Year programmes such as BSc Computing Science with a Foundation Year.

Important note

Once enrolled onto your course at UEA, your progression and continuation (which may include your eligibility for study abroad, overseas experience, placement or year in industry opportunities) is contingent on meeting the assessment requirements which are relevant to the course on which you are enrolled.

International Requirements

We accept many international qualifications for entry to this course. View our International Students pages for specific information about your country.

INTO University of East Anglia

If you do not meet the academic and/or English language requirements for direct entry our partner, INTO UEA offers progression on to this undergraduate degree upon successful completion of a preparation programme. Depending on your interests, and your qualifications you can take a variety of routes to this degree:

International Foundation in Mathematics and Actuarial Sciences

International Foundation in Physical Sciences and Engineering

International Foundation in Business Economics Society and Culture

Students for whom english is a foreign language

Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):

IELTS: 6.0 overall (minimum 5.5 in all components) for year 1 entry
IELTS: 6.5 overall (minimum 6.0 in all components) for year 2 entry

We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.

If you do not yet meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the English skills necessary for successful undergraduate study:

Pre-sessional English at INTO UEA

Academic English at INTO UEA

Interviews

Most applicants will not be called for an interview and a decision will be made via UCAS Track. However, for some applicants an interview will be requested. Where an interview is required the Admissions Service will contact you directly to arrange a time.

Gap year

We welcome applications from students who have already taken or intend to take a gap year. We believe that a year between school and university can be of substantial benefit. You are advised to indicate your reason for wishing to defer entry on your UCAS application.

Intakes

This course is open to UK and International applicants. The annual intake is in September each year.

September 2023 opportunities. Discover more

UEA Award

Develop your skills, build a strong CV and focus your extra-curricular activities while studying with our employer-valued UEA award.

LEARN MORE >

Ask a Student

This is your chance to ask UEA's students about UEA, university life, Norwich and anything else you would like an answer to.

ASK US ON UNIBUDDY >

University Taster Events

Come to one of our taster events and experience university life for yourself.

Hear from our students

Find out what it’s like to be a part of the School of Computing Sciences at UEA.

WATCH HERE >

Mature Students

If you are aged 19 or older and are seeking further help with applying to university, or where to start in figuring out where to go with your education, we can help.

FIND OUT MORE >

What's included in your fees

Explore some of the benefits included as part of your UEA learning package.

FIND OUT MORE >

Course Reference Number: 6774629

BSc (Hons) COMPUTING SCIENCE