MComp Computing Science

Key details

MCOMP COMPUTING SCIENCE

Start Year

2022

Attendance

Full Time

Award

Degree of Master of Computing

UCAS course code

G407

Entry Requirements

AAB

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 artificial intelligence (AI). You’ll also explore machine learning, computer vision, graphics, computational biology, data science and speech processing, as well as software and systems engineering.

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.

Our students have a wide range of prior experience, with most being competent programmers who understand the underlying principles of the subject and can adopt a logical, systematic approach to developing solutions for real world problems.

About

This four-year degree will give you the chance to study your subject in true depth, preparing you for an exciting career working with the rapidly changing technology of computing.

Our students have a range of programming and mathematical backgrounds, so the course is structured to enable you to achieve the same level of understanding across the fundamental areas of the subject by the end of your first year.

We emphasise the importance of practical skills. Our core modules will help you develop the skills essential to a career as a computing professional, while our optional modules will allow you to get to grips with the wide range of questions that arise in both research and industry.

During your four years of study you will acquire a strong grounding in the theory of computing science, and will gain experience and skills in software engineering and problem solving. You will 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 for 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.

In your fourth year, you will study at Master’s level to deepen your knowledge and specialise in the areas that interest you most. You’ll explore more advanced computing subjects and strengthen your research and analysis skills.

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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

You will follow the BSc programme structure for the first three years, gaining a solid foundation in programming, problem solving, and relevant mathematics and computing theory. You will then develop these themes further through core study in advanced programming, software engineering, data structures, algorithms, and operating systems and architectures. And from year 2 onwards, you’ll be able to focus on the areas of the subject that interest you most.

Our common course structure means that it’s possible to transfer between our BSc Computing Science, BSc Computing Science with a Year in Industry, and MComp in Computing Science with a Year Abroad courses. So if, for any reason, you decide not to continue to year four, you can transfer to the BSc course at any point in your first three years.

In year one, you’ll get to grips 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 two years you’ll work on two large projects, which will involve developing high quality solutions (including working software) for real problems – a skill that is highly valued by employers.

Your first will be an individual project, where you will explore a topic or work on a problem in depth, under the supervision of a member of the faculty.

Then in your final year you will have the opportunity to participate in a group or partner project, typically based in one of the School's research groups or with an industrial partner.

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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.

Your first will be an individual project, where you will explore a topic or work on a problem in depth, under the supervision of a member of the faculty.

Then in your final year you will have the opportunity to participate in a group or partner project, typically based in one of the School's research groups or with an industrial partner.

Clearing and Admissions Live Chat

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 (33%)
Written assignments (typically 25%)

Structure

Your third year will give you the opportunity to focus on specific areas of computer science through a piece of independent research. You’ll also have a range of optional modules to choose from, all of which represent the School’s current research and strengths.

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.

Your first will be an individual project, where you will explore a topic or work on a problem in depth, under the supervision of a member of the faculty.

Then in your final year you will have the opportunity to participate in a group or partner project, typically based in one of the School's research groups or with an industrial partner.

Clearing and Admissions Live Chat

Open Days

Assessment for Year 4

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

In your final year, you’ll undertake a large project with either a research group or industrial partner, supervised by a member of the faculty. Additionally, you will study advanced programming concepts and techniques and various advanced computing subjects of your choice, to both deepen and broaden your knowledge in modern-day state of the art computing science.

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.

Your first will be an individual project, where you will explore a topic or work on a problem in depth, under the supervision of a member of the faculty.

Then in your final year you will have the opportunity to participate in a group or partner project, typically based in one of the School's research groups or with an industrial partner.

Clearing and Admissions Live Chat

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 exercises that will run throughout the semester. There are also opportunities for students to hone their transferable skills through literature searching, report writing, lab discussions and presentations.

WEB-BASED PROGRAMMING

Code CMP-4011A

Credits 20

The Internet and the World Wide Web have become an ubiquitous part of our society. An understanding of the underlying mechanisms of the technologies that are used in these systems is essential for all computing science students. In this module you will be introduced to some of the tools and technologies used for Web development. You will learn how to apply accessibility and usability concepts in your design, creating an effective website that meets users' needs and demands. You will learn how to build web applications using the current industry standard Web technologies, including HTML, CSS and JavaScript. 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 be able to apply good standard practices in your work.

COMPUTING PRINCIPLES

Code CMP-4002B

Credits 20

The module introduces formulations and techniques essential for any degree in computing science.

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.

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 designed for you if you have an A level (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, 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

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 introduce C# to highlight the similarities and differences between languages.

ARCHITECTURES AND OPERATING SYSTEMS

Code CMP-5013A

Credits 20

Understand the principles of how computers work. Learn this through a ground up approach to a computing system. Fundamental concepts in Computer Architectures and Operating Systems 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

A practical introduction to electronics, this module is structured to consider analogue electronics and digital electronics in turn. Topics you’ll cover include passive and active components, including op-amps, transistors, logic gates, flip-flops and registers. Circuits you’ll study include amplifiers, oscillators, modulators, combinational and sequential logic and state machines. You’ll spend much of your time doing practical work – underpinned by lectures – where you will build prototypes circuits, as well as designing and building Printed Circuit Boards (PCBs).

INFORMATION RETRIEVAL

Code CMP-5036A

Credits 20

In this module you will learn about the development of the technologies which are the basis of search on the Web. Search engine development has been driven by large increases in online documents and the need to provide better results. You will learn about a range of techniques for improving search results and how to evaluate their impact.

Optional B Modules

(20 credits)

GRAPHICS 1

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 2D 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

Explore how networks are designed and implemented to provide reliable data transmission. You will take a layered approach to the study of networks, with emphasis on the functionality of the OSI 7 layer reference model and the TCP/IP model. You will examine the functionality provided by each layer and how this contributes to overall reliable data transmission that the network provides, with a focus on the practical issues associated with networking such as real-time delivery of multimedia information (e.g. VoIP) and network security. Labs and coursework are highly practical and underpin the theory learnt in lectures.

EMBEDDED SYSTEMS

Code CMP-5045B

Credits 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 will help you to build on the material delivered in the Architectures and Operating Systems module 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. Please refer to this link for previous projects. https://www.youtube.com/channel/UCBfZoB-aM_M8tcAioIQ4-RA/playlists

FOUNDATIONS OF DATA SCIENCE

Code CMP-5046B

Credits 20

In this module you will study the key concepts, processes, techniques in the data science workflow. There will be coverage of data collection, storage, key statistical and machine learning techniques, and presenting the results of analyses.

Clearing and Admissions Live Chat

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 (33%)
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 Learning Classifier Systems) 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.

GRAPHICS 2

Code CMP-6006A

Credits 20

Explore the fundamentals of 3D geometric transformations and viewing using OpenGL and learn the theory and implementation of fundamental visibility determination algorithms and techniques for lighting and shading. You’ll study 3D curves and fundamental geometric data structures, as well as considering the issues involved with modern high performance graphics processors.

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 will provide you with a broad understanding of the key topics and issues relating to cyber security. In the module we will use real-world examples and case studies to illustrate the importance of security. You will learn about a variety of cyber security topics including: the value of information and data, vulnerabilities and exploits, tools for defence and mitigation and the human elements of cyber security. Security is fast becoming an essential part of all aspects of our daily lives and this module will provide you with the fundamental skills and knowledge for working in a range of industries.

ADVANCED PROGRAMMING

Code CMP-6048A

Credits 20

Covers advanced features of established OO languages including C++ and Java, introduces F# (functional language) and C# (hybrid language) including .NET/CLR, and C++11,14. On the other side of the language spectrum, procedural and lower level languages such as C, IL, Bytecode and x86 assembly language are studied. Furthermore, code optimisation and high-performance computing (cluster, GPU) are addressed as well. Finally, practical methods as part of software engineering are reiterated including agile programming, design patterns and software testing.

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, Feature Modeling, 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 will focus on the methods and techniques for delivering robust, maintainable and secure software. Students will learn about the importance of security when designing and developing software. The module will include a broad range of software security threats and vulnerabilities and methods of mitigating these issues. The module will also cover ethical hacking and structured approaches to security testing.

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 such as microcontrollers, various sensors to create systems that sense and interpret the outside world to help solve a wide range of problems. These systems can be wearable devices, smartphone apps that use the phone’s sensors, or bespoke devices that can be deployed in buildings, vehicles, urban and natural environments. This is 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

This module will introduce a broad range of tools, pipelines, and techniques for the development of modern, big budget video games. You will gain a strong foundation in modern games development, with a focus on how games are made in a commercial game engine, the software used to produce geometry and what makes developing a game unique. You will need to have a good background in programming to take this module. The module is highly practical and will use Unreal Engine (UE) with examples provided in the lectures and supported by laboratory exercises.

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)

GRAPHICS 1

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

Clearing and Admissions Live Chat

Open Days

Important Information

Assessment for Year 4

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

MCOMP PROJECT

Code CMP-7024Y

Credits 40

This module is motivated by the need to simulate real project work. You will work in a group on a problem that is either taken from an active research group within the University or from a real problem in industry or in commerce.

Optional A Modules

(40 credits)

APPLIED STATISTICS

Code CMP-7008A

Credits 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 teach the R statistical language and to cover a range of topics in applied statistics, such as: Linear Regression.

ADVANCED PROGRAMMING CONCEPTS AND TECHNIQUES

Code CMP-7009A

Credits 20

You will cover advanced programming topics and state of the art software engineering concepts as part of medium to large software product development. More specifically, the following subjects are included: 1. Programming languages: Covering the vast array of programming languages, including older languages (both surviving and obsolete ones), current popular languages and new kids on the block. Different programming paradigms are discussed with code samples and applications to illustrate the underlying theoretical concepts. 2. Advanced software engineering including design patterns, modern iterative and incremental methods such as agile programming and software testing. 3. Program optimisation, parallel programming and high performance computing (HPC): Including underlying laws (Amdahl, Gustafson-Barsis), multi-threading, various languages and/or platforms, GPU programming (CUDA and OpenCL). 4. State of the art coverage of specific languages including C, F#, C#, C++11,14 etc. 5. Specific architectures such as Window’s .NET/CLR, DLL programming, templates and type systems.

AUDIO AND VISUAL PROCESSING

Code CMP-7016A

Credits 20

HUMAN COMPUTER INTERACTION

Code CMP-7018A

Credits 20

INTRODUCTION TO CYBER SECURITY

Code CMP-7034A

Credits 20

Optional B Modules

(40 credits)

INFORMATION VISUALISATION

Code CMP-7022B

Credits 20

This module is an introduction to information visualisation. You will learn techniques for summarising and presenting a wide range of data. There is a strong emphasis on understanding the appropriate context and use of visualisation techniques. You will also learn about problems and techniques for dealing with large data flows and issues of integrating multiple data sources.

DATA MINING

Code CMP-7023B

Credits 20

This module is designed for postgraduate students studying on MSc courses. You will explore the methodologies of Knowledge Discovery and Data Mining (KDD). You will cover each stage of the KDD process, including preliminary data exploration, data cleansing, pre-processing and the various data analysis tasks that fall under the heading of data mining, focusing on clustering, classification and association rule induction. Through this module, you will gain knowledge of algorithms and methods for data analysis, as well as practical experience using leading KDD software packages.

COMPUTER VISION

Code CMP-7026B

Credits 20

ARTIFICIAL INTELLIGENCE

Code CMP-7028B

Credits 20

DEVELOPING SECURE SOFTWARE

Code CMP-7038B

Credits 20

This module will focus on the methods and techniques for delivering robust, maintainable and secure software. Students will learn about the importance of security when designing and developing software. The module will include a broad range of software security threats and vulnerabilities and methods of mitigating these issues. The module will cover ethical hacking, penetration testing and structured approaches to security testing.

GAMES DEVELOPMENT

Code CMP-7042B

Credits 20

Clearing and Admissions Live Chat

Open Days

Important Information

Entry Requirements

A Levels

AAB including one A level from Mathematics, Computing Science, Digital Technology, Chemistry, Physics, Electronics or Economics. Science A-levels must include a pass in the practical element.

T Levels

Obtain an overall Pass including an A in the core of the T Level and a Distinction in the Occupational Specialism. Acceptable pathways: Design, Surveying and Planning for Construction or Digital Production, Design and Development

BTEC

DDD in an IT or Science-based subject. Excludes Public Services on its own.

Scottish highers

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

Scottish highers advanced

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

Irish leaving certificate

4 subjects at H2, 2 subjects at H3 including Mathematics, Computing Science, Chemistry, Physics or Economics.

Access course

Pass the Access to HE Diploma with Distinction in 36 credits at Level 3 and Merit in 29 credits at Level 3, including 12 credits in Mathematics, Computing, Physics, Electronics or Economics.

European Baccalaureate

80% overall with 7 in Mathematics, Computing Science, Chemistry, Physics or Economics.

International Baccalaureate

33 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

A-Level General Studies and Critical Thinking are not accepted.  Science A Levels must include 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.

INTO UNIVERSITY OF EAST ANGLIA 

If you do not meet the academic and/or English requirements for direct entry our partner, INTO University of East Anglia offers guaranteed 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

Alternative Entry Requirements

UEA recognises that some students take a mixture of International Baccalaureate IB or International Baccalaureate Career-related Programme IBCP study rather than the full diploma, taking Higher levels in addition to A levels and/or BTEC qualifications. At UEA we do consider a combination of qualifications for entry, provided a minimum of three qualifications are taken at a higher Level. In addition some degree programmes require specific subjects at a higher level.

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.

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. Please click here to see our full list.   

INTO University of East Anglia  

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: 

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.

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Course Reference Number: 4479142

MComp COMPUTING SCIENCE