Artificial intelligence (AI) is one of the most exciting and rapidly developing aspects of 21st century technology. It pervades our everyday lives, in image and voice recognition software, data security, intelligent web searching, drones, driverless vehicles, computer games, space exploration and cutting-edge medical advances, and its potential is vast. This is the perfect time to get involved. Our specialist three-year programme will give you all the knowledge, skills and practical experience you need to pursue a career at the cutting edge of AI and help to turn technological innovations into meaningful solutions that transform the way we live.
You will learn from leading researchers in the field, covering courses such as machine learning, intelligent agents, bioinformatics, information security and computational finance, and benefit from access to our internationally renowned Computer Learning Research Centre. All this will be underpinned by a solid grounding in the fundamentals of computing and all the essentials of application development, from programming to software engineering, databases to web development, computer graphics to robotics. From the outset you will be experimenting with programming games, robots, Gadgeteer kits, Subversion, JUnit testing, Scrum-based Agile software and more, in our well-equipped laboratories. Alongside core modules in all three years, you will have the flexibility to choose between a range of optional courses, according to your interests.
We are a highly respected, research-focused department with a friendly approach and award-winning teaching. We offer a summer work placement programme and a dedicated personal adviser to guide you through your studies. You will also be welcome to join our Computing Society, a thriving community of more than 400 computer enthusiasts from across the College. We are one of only seven departments in the UK to hold the Athena SWAN bronze award for our commitment to increasing female participation in computer science. You will graduate with a wide range of technical skills in computing and AI, as well as valuable transferrable skills such as team working, communication, time management and self-motivation, ready to apply to the world of work.
- Gain a solid grounding in all the main aspects of computer science but with a career-focused specialism in artificial intelligence.
- Enjoy a varied and flexible curriculum, informed by cutting-edge research and current industrial needs.
- Join an elite department, ranked 11th in the UK for the quality of its research output (Research Exercise Framework 2014).
- 97% of our students said this programme is well organised, and 92% said it is intellectually stimulating, (National Student Survey 2015).
- This programme is accredited by BCS, The Chartered Institute for IT, and the European Quality Assurance Network for Informatics Education (EQANIE).
Computing Lab (Games)
In this module you will develop an understanding of the basic concepts of 2D game design and apply them to the development of simple games using an objected-oriented approach. You will look at the nature of graphics, animation, and motion, considering the usage of vectors in these techniques. You will also examine the fundamentals of game physics, such as collisions, gravity and ballistics.
Computing Lab (Robotics)
In this module you will develop an understanding of the building of computer systems. You will learn about the elementary concepts of robotics, gaining practical experience in programming mobile robots to execute pre-defined movements using Java and Lego NXT. You will also consider the basics of sensors, proportional-integral-derivative (PID) feedback systems, and the principles of localisation.
In this module you will develop an understanding of how the internet works and its key protocols. You will look at the technologies used for web development, including scripting languages and their potential for adding dynamic content to web sites and applications. You will consider the role of web services and related technologies, and will examine the fundamental principles of network security.
In this module you will develop an understanding of the handling of large and infinite objects within a programming environment. You will learn how to use formal logic to design, reason about and minimise switching circuits, and write basic programs in assembly language. You will consider the binary representations of signed and unsigned integers and how to write regular expressions to describe sets and build deterministic automata to recognise these. You will also examine the use of automata machines in the design and reasoning of sequential flow systems.
In this module you will develop an understanding of the formal resoning for sets, relations, functions and cardinality. You will look at the structures for program data and representation and learn to write and reason recursive definitions and prove results by induction and contradiction. You will consider the representation and reasoning of problems using graphs and the use of vectors and transformations for defining and manipulating graphical objects. You will also examine the usage of probability and statistics in analysing data.
Object Oriented Programming 1
In this module you will develop an understanding of programming and object-orientation concepts. You will learn about program basics, control flow, data structures, objects, exceptions, and file input and output. You will consider how to solve basic programming tasks and the need for program documentation, testing, readability and modifiability.
Object Oriented Programming 2
In this module you will develop an understanding of software design and engineering processes, including the Waterfall and Agile methodologies. You will learn how to identify common software requirements and see how these have been considered in existing systems. You will look the techniques of software design and how software engineers communicate their design ideas. You will consider the importance of documentation and the usage of current industry-standard notations such as user stories and the unified modeling language (UML). You will also analyse and critique the design of existing sotware looking at the user experience as a measure of its fitness for purpose.
Algorithms and Complexity
In this module you will develop an understanding of the design of algorithms, with a focus on time and space complexity. You will examine basic algorithms, looking at the implementation and analysis of linear search, binary search, and basic sorting, including inerstion sort, selection sort, merger sort, quick sort, and heap sort. You will consider alternative data structure representations, such as binary search trees, hash tables, and binary heaps, and will gain an insight into the basics of graph algorithms.
In this module you will develop an understanding of the basic concepts of database technology, including the need for database integrity and robustness, and the use of a modern database system in a web-based environment. You will look at database design and the theory of the relational view of data, learn to describe the crucial issues concerning database integrity and recovery from failure, and write search query language (SQL) queries. You will also consider the process of designing and implementing a database, from the user specifications to the final design, and implement an interface to an SQL database using an application programming interface (API).
Introduction to Information Security
In this module you will develop an understanding of how information security may be influenced by real world design and implementation decisions. You will will look at the different cryptographic algorithms, considering their use, advantages and disadvantages. You will use these cryptographic primitives to review and evaluate cryptographic protocols, and examine the rational decisions in the design of tokens and secure elements.
In this module you will develop an understanding of the function and architecture of network operating systems. You will look at the role of an operating system, considering processes, memory and file systems. You will learn to write basic shell scripts, see how services are used at the operating system-level, and evaluate the theory and practice of existing operating systems. You will also examine the UNIX shell, including starting programs, input and output steams, pipes, filters, and utilities.
In this module you will develop an understanding of software engineering techniques and the managerial discipline required to work as part of a team. You will look at basic object-oriented concepts and consider the need for effective program documentation, testing, readability, and modifiability. You will consider the tools used to support software development, such as version controllers, debuggers, and code style checkers, and see how these are integrated into an industry-standard development environment (IDE). You will deliver a small-scale project using test-driven development.
In this module you will develop an understanding of the role of the computer professional, gaining practical experience in developing medium scale software as part of a team using Scrum-based Agile development. You will apply managerial discipline and learn about the software lifecycle, team development, standard industrial software engineering, project management, use of version control, and integrated development enironments (IDEs). You will see why project cost and effort is hard to estimate, and consider why project quality is hard to prescribe.
Introduction to Artificial Intelligence
Mathematical Methods for Computer Science
In this module you will have the opportunity to plan and organise a large project, analysing complex ideas, identifying problems, and coming up with solutions. You will apply scientific principles and use a range of software and hardware techniques. You will analyse the effectiveness of your solutions and evaluate the results. You will also consider legal, social, ethical and professional issues. You can design your own project or choose a topic from a suggested list.
In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.
Only core modules are taken
Only core modules are taken
In this module you will develop an understanding of the mathematical and computational models of derivative securities. You will look at how these financial instruments facilitate the management of financial risk, and examine tecniques for pricing derivatives and dynamic hedging. You will use these models to solve numerical and theoretical problems, creating computer programs in MatLab that implement valuation algorithms for different derivatives.
Intelligent Agents and Multi-Agent Systems
Visualisation and Exploratory Analysis
Advanced Data Communications
Concurrent and Parallel Programming
Applications of Cryptography
Smart Cards, RFIDs and Embedded Security Systems
IT Project Management
Software Language Engineering
Compilers and Code Generation
Digital Audio and Applications
Functional Programming and Applications
We firmly believe that how we teach you is at least as important as what we teach, and we know the importance of giving you the time and space to experiment and put theory into practice. We encourage you to use your creativity, both in project teams and independently, and to have fun while you learn. We use a variety of teaching methods, including lectures, small-group tutorials, supervised computer lab classes and problem-solving sessions. You will also be expected to complete guided independent study and group work. Our programming and software engineering teaching is very hands on, allowing you to learn at your own pace, whatever your previous level of experience. You will also attend laboratory classes on games and robotics in year 1, giving you the chance to develop real applications with imagination and creativity from the outset.
We are proud of our award-winning teaching. Professor Dave Cohen won a College Excellence Teaching Prize for the re-design of our second-year software engineering courses, and he was shortlisted for a Times Higher Education Award for Most Innovative Teacher of the Year. The British Computer Society (BCS) has distinguished our software engineering teaching as an exemplar of 'best practice' in computer science education.
Assessment is through a mixture of examinations and coursework. Most course units have a two or three-hour written examination taken at the end of the year in which they are taught, but around half of your final award will come from assessed coursework, which could include project reports (including your individual project in year 3), essays, oral presentations and software submissions.
Required subject: either Physics, Chemistry, Computer Science or Mathematics
The offer given will take into consideration:
• Subjects taken at A-level
• The educational context in which academic achievements have been gained
• Whether the Extended Project Qualification is being taken.
At least five GCSE passes at grade A*-C including English and Mathematics. For applicants studying a BTEC Extended Diploma, a grade B in Mathematics is required.
Other UK Qualifications
6,5,5 at Higher Level including Maths, Physics or Computer Science with a minimum of 32 points overall
|BTEC Extended Diploma
Distinction, Distinction, Distinction in a relevant subject (with significant programming content) and at least B in GCSE Maths
|BTEC National Extended Diploma
Distinction, Distinction plus an A2 grade B in Maths or Physics or Computing
|BTEC National Extended Certificate
Distinction plus A2 grades B, B including Maths or Physics or Computing
Requirements are as for A-levels where one non-subject-specified A-level can be replaced by the same grade in the Welsh Baccalaureate Advanced Level.
|Scottish Advanced Highers
AB including Maths or Physics or Computing (only acceptable when combined with the required Scottish Higher grades as published)
AABBB (only acceptable when combined with the required Scottish Advanced Higher grades as published)
|Irish Leaving Certificate
H2,H2,H3,H3,H3 including H3 in Maths or H3 in Physics
|Access to Higher Education Diploma
Pass with at least 30 level 3 credits at Distinction and 15 level 3 credits at Merit
Other UK qualifications
Please select your UK qualification from the drop-down list below
Please select a qualification
Please select a qualification
International and EU entry requirements
Please select your country from the drop-down list below
IELTS 6.5 overall and a minimum of 5.5 in each subscore. For equivalencies, see here.
For more information about entry requirements for your country please visit our International pages. For international students who do not meet the direct entry requirements, we offer an International Foundation Year, run by Study Group at the Royal Holloway International Study Centre. Upon successful completion, students can progress on to selected undergraduate degree programmes at Royal Holloway, University of London.
Artificial intelligence specialists are in demand across a wide range of sectors, from private companies to educational institutions, the arts, healthcare, government agencies and the military. Opportunities range from software analysis and computer engineering to algorithm design, engineering and manufacturing consultancy, medical health services, research, teaching, the military, aviation, graphic design, digital music and entertainment and more. The work can be highly lucrative and rewarding.
This programme will give you a solid grounding in the knowledge, skills and practical experience required to pursue a successful career in computing and artificial intelligence or related fields. You will learn to analyse and solve problems with creativity and suggest cost-effective, efficient solutions. You will acquire the foresight to translate technological innovations into new programming solutions, the technical skills to design, implement, test and maintain software systems, and the ability to digest and explain complex technical information. You will also develop valuable transferrable skills such as: team working, advanced IT skills, critical thinking, data handling, communication, logic, time management and self-motivation.
We work closely with partners in industry who advise us on our curriculum, to make sure it responds to the latest market needs and trends. This means our graduates are up-to-speed with all the latest developments. We run jobs fairs and a short-term work placement scheme, and your personal adviser and the campus Careers team will be on hand to offer advice on career opportunities. We also maintain strong links with our alumni, who can often provide advice, contacts and networking opportunities. In recent years, our computer science graduates have launched careers in everything from network systems design and web development, to business management and finance. They work in organisations such as: Amazon, American Express, Apple, Bupa, Capita, CGI-Logica, Goldman Sachs, Microsoft, Symantec, among many others. Find out more about what some of our graduates are doing, here.
- Gain the knowledge, skills and practical experience to pursue a lucrative and rewarding career at the cutting edge of artificial intelligence.
- 85% of our computer science graduates are in work or further study within six months of leaving (Unistats 2015).
- Our strong ties with industry mean we understand the latest market trends and can introduce you to all the newest developments.
- Add professional prestige to your qualification with membership of the BCS, The Chartered Institute for IT and the European Quality Assurance Network for Informatics Education (EQANIE), after you graduate.
Home and EU students tuition fee per year 2017/18*: £9,250
International students tuition fee per year 2017/18**: £15,600
Other essential costs***: There are no single associated costs greater than £50 per item on this course
How do I pay for it? Find out more.
*Tuition fees for UK and EU nationals starting a degree in the academic year 2017/18 will be £9,250 for that year. This amount is subject to the UK Parliament approving a change to fee and loan regulations that has been proposed by the UK Government. In the future, should the proposed changes to fee and loan regulations allow it, Royal Holloway reserves the right to increase tuition fees for UK and EU nationals annually. If relevant UK legislation continues to permit it, Royal Holloway will maintain parity between the tuition fees charged to UK and EU students for the duration of their degree studies.
**Royal Holloway reserves the right to increase tuition fees for international fee paying students annually. Tuition fees are unlikely to rise more than 5 per cent each year. For further information on tuition fees please see Royal Holloway’s Terms & Conditions.
***These estimated costs relate to studying this particular degree programme at Royal Holloway. Costs, such as accommodation, food, books and other learning materials and printing etc., have not been included.