MComp Computing Science

Key details

MCOMP COMPUTING SCIENCE

Start Year

2021

Attendance

Full Time

Award

Degree of Master of Computing

UCAS course code

G407

Entry Requirements

ABB

Duration (years)

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, and 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 you will acquire a strong grounding in the theory of computing science, as well as 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 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.

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.

This degree is accredited by the British Computer Society.

About

Learn to program the future. 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.

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Course Reference Number: 1545429

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’ll use a wide range of methods to assess your learning – including programming assignments, essays, class tests, problem sheets, laboratory reports, presentations and demonstrations. The method we choose will depend on the module content and learning objectives. You’ll find that most modules are assessed through a mixture of coursework and exams, while some are entirely assessed by coursework.

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

Structure

You will follow the BSc programme structure for your 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 two onwards, you’ll be able to focus on the areas of the subject that interest you most.

Our common course structure also means that it’s possible to transfer between our BSc Computing Science, BSc Computing Science with a Year in Industry, and the 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.

Year 1

You’ll get to grips with the fundamentals of computing science with an emphasis on programming. And you’ll study mathematical modules, learning how they’ll prove 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) to 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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Assessment for Year 2

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

Structure

Year 2

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

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.

Apply

Life at UEA

Assessment for Year 3

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

Structure

Year 3

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.

Independent study

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.

Apply

Life at UEA

Assessment for Year 4

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

Structure

Year 4

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.

Independent study

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.

Apply

Life at UEA

Assessment for Year 1

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

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.

WEB-BASED PROGRAMMING

Code CMP-4011A

Credits 20

In this module you will be introduced to some of the tools used for web development. You will then build a substantial dynamic web site using the current HTML family of standards. An understanding of the underlying mechanisms of the technologies used in the Internet and World Wide Web is essential for any computing science student. Therefore, in the latter part of the module you will learn about these technologies and undertake a practical approach to exploring them. You will learn about issues of cyber security.

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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Important Information

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. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with 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. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.

Assessment for Year 2

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

Compulsory Modules

DATA STRUCTURES AND ALGORITHMS

Code CMP-5014Y

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-5015Y

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 cover C++ in semester 2 and conclude by introducing C# to 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 1

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)

FURTHER MATHEMATICS

Code CMP-5006A

Credits 20

Further Mathematics 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. 3D Vectors and complex numbers are also studied. If you have taken Mathematics for Computing A or equivalent, this module is for you.

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.

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Important Information

Assessment for Year 3

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

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)

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, shading and anti-aliasing. 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.

ARTIFICIAL INTELLIGENCE

Code CMP-6040A

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.

Optional B Modules

(20-40 credits)

ALGORITHMS FOR BIOINFORMATICS

Code CMP-6034B

Credits 20

A brief introduction to the basics of molecular biology will be given, and so no background in biology is required. Topics will include sequence analysis, RNA and protein structure, genome assembly and phylogenetics. Lecturers will highlight the relevance of the material to cutting-edge research and in applications such as understanding human diseases, developing new drugs, improving crop plants, and uncovering the origins of species. Emphasis will be focused on the fundamental algorithms that are used in each of these areas.

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.

Optional C Modules

(0-20 credits)

ANALOGUE AND DIGITAL ELECTRONICS

Code CMP-5027A

Credits 20

INFORMATION RETRIEVAL

Code CMP-5036A

Credits 20

INTERNET LAW

Code LAW-6001A

Credits 20

Internet law is a cross-cutting area of law for today’s multinational and innovative environment, particularly relevant in industries like electronic commerce, information technology, and the media. You will cover topics including data protection and privacy, cybercrime, contracts, domain names, the control of content and the resolution of disputes. You will explore the application of law across traditional categories and you will be encouraged to reflect on the role of a national legal system in an interconnected world. Teaching will include some online elements as well as lectures and seminars.

Optional D Modules

(0-20 credits)

GRAPHICS 1

Code CMP-5010B

Credits 20

NETWORKS

Code CMP-5037B

Credits 20

ELECTRICITY GENERATION AND DISTRIBUTION

Code ENG-6001B

Credits 20

This module is highly practical and will allow you to study how electricity is generated and how it is distributed to users. The first part studies DC and AC electricity and looks at how RLC circuits behave through complex phasor analysis. The second part will give you the chance to study electricity generators, beginning with magnetism and Faraday’s Law. Synchronous and asynchronous generators are studied along with application to conventional power stations and to renewable generation (e.g. wind). You'll also look at transformers and transmission lines with a view to distribution of electricity. Voltage conversion methods such as the rectifier, buck and boost converters are examined and finally electricity generation through solar is covered. Your lab classes will build on material from lectures which in turn forms the basis for coursework.

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Important Information

Assessment for Year 4

In your final year, you will be assessed particularly on your understanding and how you integrate knowledge from different areas of the subject.

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.

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.

Optional A Modules

(40-60 credits)

HUMAN COMPUTER INTERACTION

Code CMP-7018A

Credits 20

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.

Optional B Modules

(0-20 credits)

COMPUTER GRAPHICS

Code CMP-7013A

Credits 20

You are likely to enjoy this module if you have an interest in working in the games industry or in the development of real-time graphics applications. This module covers the fundamentals in 3D graphics including transformations, lighting, shading, texture mapping and collision detection. You will study the fundamentals of programming real-time 3D graphics using OpenGL and the OpenGL Shading Language (GLSL). Ability to program in a high level language such as C++ or Java is required.

AUDIO AND VISUAL PROCESSING

Code CMP-7016A

Credits 20

COMPUTER VISION

Code CMP-7026B

Credits 20

ARTIFICIAL INTELLIGENCE

Code CMP-7028A

Credits 20

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Important Information

Entry Requirements

A Levels

ABB including one from Mathematics, Computing Science, Physics, Electronics, Economics or BBB including A in the Extended Project. Science A-levels must include a pass in the practical element.

BTEC

DDM in IT or a Science based subject. Excludes BTEC Public Services, BTEC Uniformed Services and BTEC Business Administration.

Scottish highers

AAABB including one from Mathematics, Computing Science, Physics, Electronics, Economics.

Scottish highers advanced

BCC including one from Mathematics, Computing Science, Physics, Electronics, Economics.

Irish leaving certificate

3 subjects at H2 and 3 subjects at H3, including one Higher Level from Mathematics, Computing Science, Physics, Electronics, 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 Level 3 credits from Mathematics, Computing Science, Physics, Electronics, Economics.

European Baccalaureate

75% overall, including 70% in one subject from Mathematics, Computing Science, Physics, Electronics, Economics.

International Baccalaureate

32 points with HL 5 in one subject from Mathematics, Computing Science, Physics, Economics.

GCSE offer

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

BSc Computing Science with a Foundation Year (G414)

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

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 speaking, listening, reading and writing) at the following level:

IELTS: 6.5 overall (minimum 5.5 in any component)

We will also accept a number of other English language qualifications. Please click here for further information.

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

English for University Study at INTO UEA

Interviews

The majority of candidates will not be called for an interview and a decision will be made via UCAS Track.

However, for some students an interview will be requested. You may be called for an interview to help the School of Study, and you, understand if the course is the right choice for you. The interview will cover topics such as your current studies, reasons for choosing the course and your personal interests and extra-curricular activities.

Where an interview is required the Admissions Service will contact you directly to arrange a convenient 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, EU and International applicants. The annual intake for this course is in September each year.

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UEA Award

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

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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.

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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 >

Ask an Academic

Find out what life at our university is really like by chatting to our academics.

JUST ASK >

Course Reference Number: 1545429

MComp COMPUTING SCIENCE