This course is aimed at students who are interested and inspired by the new AI technologies and want to work to become a leader in meeting the challenges posed by AI and big data. This course will support students with a broad range of skills required to work in the field of AI - including machine learning, natural language processing, problem solving and other cognitive techniques, as well as an understanding of the professional and ethical considerations that surround AI.

It is designed to enable you to develop the knowledge and skills that are necessary for, specifically, a career in the industry sectors undertaking the design of intelligent computer systems and emerging smart technologies and, generally, for a broad range of careers in industrial, commercial and scientific computing. The BSc (Hons) Computer Science (Artificial Intelligence) degree has been designed to meet the accreditation requirements of BCS – the Institute for IT, for both CITP and partial CEng registration.

Develop your portfolio

The course puts theory into practice through skills development relevant to the modern world, in particular, the use of artificial intelligence (AI), machine learning and cognitive computing in an increasing number of industry sectors. It offers skills development as an integral part of the curriculum and as preparation for the world of work. As well as practical skills necessary for the industries using AI, you will develop transferable skills which will make you suitable for general graduate employment in an ever-changing job market.

Research informed teaching

As well as giving you a robust general education in Computer Science, with emphasis on AI design and development, the Computer Science (Artificial Intelligence) degree will provide the knowledge and skills necessary for research and development in other technically advanced fields of computing.

Take a work placement

The salaried placement year is an important feature of the sandwich version of the course. The work experience gained from a placement year can give you a distinct advantage on graduating. It requires a successful application process through a company. The NTU Employability team provide support in finding a placement that is right for you and support all stages in the placement application process. Students can transfer between full-time and sandwich versions of the course up to the end of Level 5 (year 2).

World-Leading Research

In the last Research Excellence Framework (REF 2021) we’re proud that 80% of NTU's Computer Science submission was assessed to be world-leading or internationally excellent.

Access to Industry-Standard Tech

You will have access to superior facilities, equipment and software, including our Vicon Motion Capture Suite, our green screen and our VR-equipped Human Interaction Technology Lab.

A university campus experience

within one of Europe’s top 25 student cities, and home to over 75,000 learners.

Learn from the experts

at a university rated TEF ‘Gold’ for teaching and learning.

During your course you will be equipped with the knowledge and skills necessary for careers in digital and technology occupations across a wide variety of different sectors in industrial, commercial and scientific computing. You will develop the skills and knowledge required to design and implement robust, efficient, quality software.

You will then develop the knowledge and skills needed to face new technological and ethical challenges associated to the emerging new intelligent systems, and to adapt them for the real-world problems at both local and global scales.

All of the courses within the Computer Science cluster share a common first year. This will provide you with the flexibility to review your pathway once you have started studying. At the end of year one, you can choose to transfer to:

BSc Computer Science

BSc (Hons) Software Engineering

BSc (Hons) Computer Science (Games Technology)

BSc (Hons) Data Science

Microsoft Certified: Azure AI Fundamentals course

Microsoft will sponsor your cloud subscription and course materials. There will be no cost to you for your certification test fees. You will also get the Microsoft Azure AI Fundamentals professional certification when you graduate – a valuable addition to your CV.

Find out more about Azure AI Fundamentals course.

About the Computer Science Team

We have a rich mix of knowledge ranging from software development for different types of system through to hardware aspects such as networking. This involves many uses of computing and considers all aspects including security and management. Our knowledge is built up and maintained through our wealth of industrial experience, our industrial links and our research activity. These are the ingredients for ensuring the relevance and vitality of your course.

Our highly regarded academics are active in a broad range of research areas, particularly in the areas of machine learning, AI, smart sensors, cyber security, virtual reality, Internet of Things and robotics to drive advances in health, education and wellbeing. The Computing and Informatics Research Centre (CIRC) unifies and provides an overarching research vision to our academics.

Drive with Confidence - a safe and secure driving system to mitigate remote vehicle hijacking risks.

SmartBerry - Artificial Intelligence to enhance strawberry farming in developing countries

Hydra Cluster and Quantum Computing - high performance computing facility made out of 320 Field Programmable Gate Arrays (FPGAs) and networked control computers.

Serious games and virtual environments - developing virtual environments and games for promoting cognitive and perceptual skills in people with intellectual disabilities.

Get ready to embark on an adventure with our study abroad programs at partner universities or by getting a work placement overseas. Both opportunities will boost your employability, build lifelong friendships, and allow you to experience the world in a whole new way.

Course accreditations

This course is accredited by the BCS, The Chartered Institute for IT to IT Professional (CITP) status.

Module information

A standard full-time BSc (Hons) course is made up of 120 credits studied each year. Some courses may vary, however, and you can find information on the total number of credits achieved per module below.

Here’s a breakdown of what you’ll be studying throughout the

Year OneYear TwoOptional Placement YearFinal Year

ModulesExpand all +

Foundations of Computer Programming

You will be introduced to the approaches for planning and developing programmes using modern high-level language. Working on developing solutions through programming that tackle real-world problems, you'll develop the key fundamentals you'll build on throughout your course.

20 credits

Foundations of Computer Technology & Mathematics

This module provides a foundational understanding of computer systems technology and

mathematical principles essential for computing. It establishes core principles that serve as

a foundation for your subsequent studies in computing. The module will help you develop

both technical understanding of computer systems and mathematical problem-solving skills

crucial for your computing degree.

Computer Science Programming

Learn about programming languages relevant to software with industrial scale, reliability and performance characteristics.

Computer Technology and Mathematics

Understand how a computer works, look at issues arising from the hardware architecture and extend your mathematical knowledge and ability.

Systems Analysis and Design (SAD)

Introducing you to the fundamental principles of SAD, this module gives you a working knowledge of key systems development methodologies, techniques and tools.

Academic & Professional Development

This module will provide you with a good introduction to the skills required to succeed on your computing degree. You will develop your ability to become an independent learner, through guidance from your personal tutor. You will learn how to carry out research in an area of computing, and learn techniques to present your findings. You will learn about current issues in society, business and the environment, with emphasis on the powerful role that computers and computer professionals play in a sustainable, technological society.

Foundations of Artificial Intelligence and Machine Learning

The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of 'machine learning' techniques to process and discover patterns in data.

Data Analytics Techniques and Programming

The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of techniques to process and discover patterns in data.

Practical Project Management and Professional Development

Continued professional development and lifelong learning are important to your future career. Through this module you'll improve your time and project management skills, presentations and report writing. This module also includes detailed guidance about the development of your CV and provides experience of selection assessments for industrial placement/graduate employment positions.

Software Design and Implementation

Gain the knowledge and skills in software development techniques to support the development of robust, secure, maintainable and portable software systems.

Systems Software

Study operating systems theory, network solutions, design and implementation, and learn how computer systems can be connected to form large complex distributed systems.

Information and Database Engineering

Understand the nature and application of database management systems and acquire skills for database administration and management.

Optional year-long work placement. If you are not taking a placement, you will progress directly to your final year in Year Three.

Core modulesExpand all +

Investigate problems in computing, implement solutions, critically evaluate and reflect on your work, and develop your abilities to communicate, self-organise and manage.

40 credits

Distributed Database Engineering

Learn about the processes and techniques data scientists use to support the challenging workloads for data science by focusing on a range of distributed database technologies that can support big data.

Artificial Intelligence

Learn about the theoretical foundations of Artificial Intelligence (AI), the main methods and techniques and current areas of AI research and development.

Cognitive Computing

Learn how to develop systems capable of autonomously making decisions based on their surroundings. This module brings together cutting-edge approaches from computer science, digital electronics and embedded systems, the Internet of Things (IoT), robotics and artificial intelligence.

Optional modules - choose oneExpand all +

Expert Systems and Knowledge Engineering

You'll explore how expert systems capture human expertise in a computer system and make it available to those with less experience. Learn how to acquire, structure, and model knowledge, and apply logical inference and rule‑based techniques to build systems that can reason under certainty or uncertainty. By the end of the module, you will be able to design and implement expert systems that enhance decision intelligence in practical applications.

Service-centric and Cloud Computing

Explore how to design secure, scalable distributed applications using service-oriented and cloud-native approaches. You'll examine core cloud models, deployment strategies, and the technologies that enable modular, fault-tolerant services, while assessing performance, security, and key trade-offs in cloud environments.

Advanced Software Engineering

Explore the challenges of scalable software development and the theories and techniques that enable efficient and reliable system design. You will build advanced C++ programming skills while studying algorithmic complexity, data structures, memory representation, testing, and performance measurement. By the end, you will be able to design and evaluate high‑performance software using both analytical and empirical methods.

Mobile Platform Applications

Gain an awareness of the requirements, capabilities and constraints of a variety of mobile platform technologies and consider how they can be used to build systems that are outside the traditional desktop paradigm.

We regularly review our course content based on student and employer feedback to ensure they remain current and relevant. This may result in changes to module content or availability in future years. Optional modules will only run where there is sufficient demand. This will be determined on a case-by-case basis to protect the academic and student experience.

Student experience

Branden Millward

Computer Science student

“The environment at NTU was massively supportive. All of my lecturers were more than happy to take time out of their day to help with projects, as well as giving valuable insight when needed”

Read Branden's profile

How you're taught

The teaching methods used on this course have evolved over a number of years based on feedback, review and reflection. Our approach is to use practical illustration and first-hand experience to enhance learning wherever possible.

Learning is facilitated in a range of different ways. Most modules involve a series of lectures to explain and develop the subject concepts to you. These are accompanied by either seminars or laboratory sessions or sometimes a combination of both. In these you apply the theory from the lectures. This leads to a more thorough understanding of the subject and the development of any practical skills associated with it.

The seminars and laboratories are also often used to help you in coursework assignments, which in themselves help to embed knowledge and develop skills. In the laboratory sessions, staff will help you to explore and use the technology, and give you feedback on your practical work. They will discuss links between theory and practice in these sessions. Some modules have optional surgery sessions to support learners. These are student-driven in that students bring to the sessions questions on any aspects of the module that they are finding difficult.

The nature of the subject means that much of your learning will be computer-aided. As well as using software development environments and packages for coursework implementation tasks, you will also use some computer-aided learning packages and techniques such as online discussion groups. Again, we aim for you to become an engaged learner who takes responsibility for your learning.

You’ll learn through a mix of:

lectures - covering the key theories

seminars - smaller-group sessions perfect for learning key skills and collaborative working

practical sessions - using our extensive range of industry-standard facilities

workshops - this includes surgery sessions where you’ll meet with your lecturer in small groups to discuss any problems or work through challenging topics.

The rest of your time will be spent carrying out independent study such as reading textbooks and lecture notes, and working on exercises.

A placement year may be taken between Year Two and Year Three of study.

Artificial Intelligence and Innovation

On this course, you’ll engage with AI in a practical, informed way, reflecting its use across science and technology today. You’ll explore how AI supports analysis, problem solving and innovation, while developing the skills to understand its limitations and ethical implications.

AI won’t replace scientific knowledge or professional judgement. Instead, you’ll learn how it complements your expertise and enhances professional practice in industry and research.

We’ll help you build confidence, adaptability and informed judgement, preparing you for a changing workplace where human expertise remains essential.

Research-informed teaching

Our research is tackling real-world issues – and the people working on this research will be teaching you. It also informs the subjects you’ll be studying with us so you can be sure your knowledge will be cutting-edge in your field. In the last Research Excellence Framework (REF 2021) - the UK's system for assessing the quality and impact of research in universities - we’re proud that 80% of NTU's Computer Science and Informatics submission was assessed to be either world-leading or internationally excellent.

Learn a new language

Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have. Find out more about the ULP.

How you're assessed

People excel in different ways, and we want everybody to have the best possible chance of success. That’s why we’ve adopted a range of assessment types, including:

coursework, including group projects, case studies, dissertation and other assignments

practical assessments, such as individual and group presentations, laboratory assessments and reports

exams and tests, including formal exams, written tests and multiple-choice.

Contact hours

For each 20-credit module, you’ll spend about 200 hours learning overall. Around 40 of those hours will be taught in lectures or seminars. The rest of the time is for independent study, reading, research, or working on assignments.

Who will teach you?

Joao Filipe Ferreira

Senior Lecturer

João Filipe Ferreira is a Senior Lecturer in Computing in the School of Science and Technology and a researcher at NTU.

Visit Joao Filipe Ferreira's staff profile

Pedro Machado

Associate Professor

Dr Pedro Machado is an Associate Professor of Neuromorphic Computing in the Department of Computer Science, a recipient of the 2026 Royal Academy of Engineering–Leverhulme Trust Research Fellowship, a SFHEA, and an IEEE CertifAIEd Lead Assessor.

Visit Pedro Machado's staff profile

Daniyal Haider

Dr Daniyal Haider a Senior Lecturer in the Department of Computer Science at Nottingham Trent University.

Visit Daniyal Haider's staff profile

Amir Pourabdollah

Find out more about Dr Amir Pourabdollah, senior lecturer, in the Department of Computer Science at Nottingham Trent University.

Visit Amir Pourabdollah's staff profile

Peter FitzGerald

Principal Lecturer

Find out more about Peter FitzGerald, Principal Lecturer and Undergraduate Courses Manager, in the Department of Computer Science at NTU.

Visit Peter FitzGerald's staff profile

Joanna Hartley

Deputy Head of Department

Find out more about Joanna Hartley, Deputy Head of Department of the Computer Science Department at Nottingham Trent University.

Visit Joanna Hartley's staff profile

David Adama

Dr David Adama is a Lecturer with the Department of Computer Science at Nottingham Trent University, where he is also a member of the Computational Intelligence and Applications (CIA) research group.

Visit David Adama's staff profile

Entry requirements

UK students

Standard offer: 120 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including a IT, Maths or Science subject grade C

Contextual offer: 112 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including a IT, Maths or Science subject grade C

To find out what qualifications have tariff points, please use our tariff calculator.

Additional requirements

Additional requirements for UK students

There are no additional requirements for this course.

Contextual offers

We consider every application in the context of your individual circumstances and educational background. This may include information about where you live, the school or college you attended, or experiences that may have shaped your educational journey. This is known as a contextual offer, and we use information provided through UCAS to help inform our decisions. By considering achievement in context, we can better recognise academic potential and ensure applicants are assessed as fairly and fully as possible.

Meeting our entry requirements

Hundreds of qualifications in the UK have UCAS Tariff points attached to specific grades, including A-levels, BTECs, T Levels and many more. You can use your grades and points from up to four different qualifications to meet our criteria. Enter your predicted or achieved grades into our Tariff calculator to find out how many points your qualifications are worth.

Other qualifications and experience

NTU welcomes applications from students with non-standard qualifications and learning backgrounds, either for year one entry or for advanced standing beyond the start of a course into year 2 or beyond.

We consider study and/or credit achieved from a similar course at another institution (otherwise known as credit transfer), vocational and professional qualifications, and broader work or life experience.

Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route. If you wish to apply via Recognition of Prior Learning, please contact the central Admissions and Enquiries Team who will be able to support you through the process.

Getting in touch

If you need more help or information, get in touch through our enquiry form.

International students

Academic entry requirements: 120 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including a IT, Maths or Science subject grade C. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.

English language requirements: See our English language requirements page for requirements for your subject and information on alternative tests and Pre-sessional English.

Additional international requirements

Additional requirements for international students

If you need help achieving the academic entry requirements, we offer a Foundation preparation course for this degree. The course is offered through our partner Nottingham Trent International College (NTIC) based on our City Campus.

English language requirements

View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.

If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City campus which is an intensive preparation course for academic study at NTU.

If you have the right level of qualifications, you may be able to start your Bachelors degree at NTU in year 2 or year 3. This is called ‘advanced standing’ entry and is decided on a case-by case basis after our assessment of your qualifications and experience.

You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.

Sign up for emails

Sign up to receive regular emails from the International Office. You'll hear about our news, scholarships and any upcoming events in your country with our expert regional teams.

If you need advice about studying at NTU as an international student or how to apply, our international webpages are a great place to start. If you have any questions about your study options, your international qualifications, experience, grades or other results, please get in touch through our enquiry form. Our international teams are highly experienced in answering queries from students all over the world.

Policies

We strive to make our admissions procedures as fair and clear as possible. To find out more about how we make offers, visit our admissions policies page.

Fees and funding

UK students - see the fees for this course, as well as information about funding and support.

£10,050 per year

Year abroad - £1,507

Placement year - £2,010

If you choose to do a placement year or year abroad, you'll pay a reduced fee for that year. Please be aware that you will be charged the fee set for the year this takes place, rather than being fixed at the rate applicable when you start your course, and any increases are subject to Government approval. As a guide, the fees above are for the 2027/28 academic year.

Find out about the extra support we may be able to provide to help pay for uni, including NTU bursaries and scholarships.

Your course fees cover all the facilities and support you need to succeed.

You will have access to extensive computing facilities, some available 24 hours a day and including technician support.

You will have dedicated online storage to support backup of work.

You will have access to Microsoft Academic Alliance membership which gives you free copies of all Microsoft developer software including operating systems, Visio and Project.

As one of our students, you will be able to join the Oracle Academic Initiative as an individual member and get free database software.

Students are able to register for a free personal copy of 3D Studio Max.

Extensive equipment is available to loan for coursework and project work. For example, you can borrow cameras and phones.

We offer extensive free training software including tutorials on 3D Studio Max, Flash, Photoshop, TCP/IP Packet analysis, Java, Javascript, HTML5, Oracle.

Most major software is available across the campus machines, including Adobe Master Collection Suite.

You will need to pay tuition fees for each year that you are at university. The tuition fees, including the placement year and study abroad options are subject to government policy and may change in future years of study.

Preparing for the financial side of student life is important, but we don’t want you to feel anxious or confused about it. Visit our fees and funding pages if you have any concerns.

International students - see the fees for this course, as well as payment advice and scholarships.

£18,400 per year

You will need to pay tuition fees for each year that you are at university. The tuition fees might increase from the second year of your undergraduate course, in line with inflation and as specified by the UK government.

Scholarships

We offer international scholarships of up to 50% of your tuition fee. You can apply for a scholarship when you have an offer to study at NTU.

Living costs

See our advice on managing your money and the cost of living as an international student in Nottingham.

Paying fees

As an international student, you'll need to make an advance payment as part of your offer conditions. You'll then need to pay your tuition fees in full, or have an agreement to pay in two further instalments, in order to enrol on the course.

Find out how and when to pay your fees, including information about your advance payment, instalment dates and how to make payments securely to the University.

Enquiries

If you have any queries relating to advance payments or arrangements to pay, please contact our friendly and experienced international enquiries team.

Additional costs

Your course fees cover the cost of studies and include loads of great benefits, such as the use of our library, support from our expert Employability team and free use of the IT equipment across our campuses. There are just a few additional things you may need to budget for:

Textbooks and library books

Your modules will point you to key textbooks and recommended reading. Many are available online, and in our libraries, but some students choose to buy their own copies. You’ll receive resource lists showing where to access eBooks, digital resources and physical copies. Our friendly Library team is always on hand to help you find what you need.

Printing and photocopying costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. For more details about costs for additional print and copying required over and above the annual allowance please see the printing and photocopying information on the Library website.

Placements

If you're undertaking a placement year, you'll need to budget for accommodation and any travel costs you may incur whilst on placement. Many of our placement students do earn a salary whilst on placement which can help to cover these living costs.

Field trips

All essential field trip costs will be included in your course fees. There may be the opportunity to take part in optional field trips, which do incur additional costs.

Year abroad

If you choose to study abroad for a year, you may need to consider additional costs such as visas, vaccinations, accommodation and travel expenses.

Fees and funding advice

For more advice and guidance, phone the Student Money Team on +44 (0)115 848 2494.

Cost of living information and support

Managing your money can help you make the most of life at NTU. Here's how we can support you, and now you can make your funding go further.

Cost of living in Nottingham

Our student benefits and free services

Money advice for international students

Careers and employability

Excellent placement opportunities

NTU is one of the most employment-focused universities. Increasingly, employers want to recruit graduates who have real-world work experience. That’s why all of our courses, across every subject area, offer you a work experience opportunity. Our experts help build and support your future with a range of career programmes and events.

On this course, after your second year, you will have the opportunity to take a year's work placement (sandwich placement). This will give you the chance to gain vital experience and put your knowledge into practice. You're also twice as likely to secure a graduate job within six months if you take a work placement.

You'll be supported and assessed throughout your placement year and will write a reflective report and diary at the end of your placement. When you successfully complete your placement, you will be eligible to receive an additional award of a Diploma in Professional Practice.

Find out more about work placements.

Employability Promise

Personalised support, one-on-one coaching and industry-specific advice – it’s all part of our Employability Promise. And it doesn’t end when you leave NTU – you’ll have access to all our careers services for three years after you graduate (conditions apply).

Assessed work-like experience

We’ve embedded at least eight weeks of assessed work-like experience into all of our courses. This gives you the opportunity to apply your learning in real-world scenarios, build your confidence, and develop the experience employers are looking for.

NTU Enterprise

If you’re a budding entrepreneur, NTU Student Enterprise can help you to develop your ideas and innovations and turn them into a reality. We also offer training, mentoring, workshops, financial advice and more to develop your business skills.

Campus and facilities

You’ll mainly be studying in the Interdisciplinary Science and Technology Centre (ISTeC) with access to facilities including a Games Development Lab Robotics lab and a High Performance Computing Suite.

Our self-contained, community-focused Clifton Campus has been designed to keep students busy between lectures. Catch-up with your course mates in the Pavilion’s barista café and Refectory; brainstorm group presentations in chic and stylish study spaces; enjoy some proper R&R in The Point, home of our Students’ Union. The campus also hosts the multimillion-pound Clifton Sports Hub, offering great options for everyone — whatever your interests, and however competitive you’d like to get!

You’re also right next to the bright lights of Nottingham — one of Britain’s top 10 student cities, and one of Europe’s top 25. All through termtime, a dedicated on-campus bus service will get you to the heart of the action (and back) in under 25 minutes. You’ll find a city stuffed with history, culture, and well-kept secrets to discover at your leisure: enjoy lush green spaces, galleries, hidden cinemas and vintage shopping by day, and an acclaimed food, drink and social scene by night.

Computer Science facilities tour video

360 ° view of the Virtual Reality Lab

Interactive Media and Graphics Lab 360

Computer Science Facilities

For more information visit the Computer Science Facilities page.

Interdisciplinary Science and Technology Centre (ISTeC)

For more information visit the Interdisciplinary Science and Technology Centre (ISTeC) page.

Take a virtual tour

View Computer Science facilities video transcript

Applying

Ready to join us? Then apply as soon as you can. Make sure you check the entry requirements above carefully before you do.

Keeping up-to-date

After you’ve applied, we’ll be sending you important emails throughout the application process so check your emails regularly, including your junk mail folder.

You can get more information and advice about applying to NTU on our Your Application page. Good luck with your application!

Apply through UCAS

You can apply for this course through UCAS. If you are not applying to any other UK universities, you can apply directly to us on our NTU applicant portal.

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

Complete this simple form to keep in touch with the International Office.

Please read our application guidance before you start your application.

We advise you to prepare and apply as early as you can as Student visa processing time can vary.

We'll send you important emails throughout the application process. Please check your emails regularly, including your junk/spam mail folder.

Apply through NTU portal

Personal statement guidance

You’ll submit a personal statement with your UCAS application – here are our tips on what to include and how to structure your personal statement.

Application support

If you have any questions about applying, get in touch through our online form or call us on 44 (0)115 848 4200.

Related courses

Computer Science - Artificial Intelligence (with foundation year)

BSc (Hons)

Computer Science

Computer Science (Games Technology)

Software Engineering

Computing

Cyber Security

Data Science

More from this subject

View more courses on the Computer Science subject page

Further study

View Computer Science postgraduate courses

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