Study how human reasoning can be imitated or surpassed by computer systems.
Year of entry: 2025/26
I400
Y50
3 years full-time
£9,250/£9,535 (to be confirmed) per year
£31,100 per year
Explore how computational systems can communicate, learn and reason, and understand the implications for society as a whole. Combine theory and practice to solve real-world problems in the ever-growing field of artificial intelligence.
The BSc in Computer Science with Artificial Intelligence produces multi-skilled, highly competent graduates who are equipped to become leaders in their career field and who understand the implications of their work both for themselves and for society as a whole.
Through the programme, you will study two integrated strands of work which help you to develop both your computational thinking and your skills as an engineer. It is the combination of these two areas that will make you attractive to employers, enabling you to make an immediate contribution when you move into employment.
Most of our Computer Science courses are accredited by the BCS (the Chartered Institute for IT) a professional body of computing. We will be seeking BCS accreditation for this course when our first cohort of students graduate in 2026.
Find out more about what this professional accreditation means.
Our software labs offer spaces for individual and group work.
We hold an Athena SWAN Bronze Award, which recognises our commitment to gender equality.
All students will study our core topics in computer science, which we have designed to be consistent with the Association for Computing Machinery (ACM) curriculum guidelines. These core topics provide the fundamental knowledge that all computer science graduates should possess, and the foundation required to specialise in the third year. The core topics are structured into eight streams:
At least 25% of the course content will be in your specialist area of artificial intelligence. To recognise this, your degree title will reflect your specialism.
In Year 1, you'll focus on establishing a solid foundation regardless of your previous experience of programming and computing.
In addition to the above you will also need to complete our online Academic Integrity module.
This module covers some of the essential skills and knowledge which will help you to study independently and produce work of a high academic standard which is vital for success at York.
This module will:
Year 2 of the course will build upon the solid foundations you've laid down in Year 1. You’ll take modules from streams 1 to 5 to deepen your learning, start on two further streams studying intelligent systems and undertake a group engineering project. You'll start to develop your interests which you will then begin to focus on in Year 3.
In Year 3, you'll really get under the skin of the specialist areas which interest you.
As well as your individual project on an Artificial Intelligence related topic you'll take at least two Artificial Intelligence designated optional modules. Examples can be found below:
You will study one or two option modules, depending on how many Artificial Intelligence designated modules you choose. Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course.
You may be able to replace one option module with an elective module, studying a complementary subject, a language or an interdisciplinary topic.
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Every course at York has been designed to provide clear and ambitious learning outcomes. These learning outcomes give you an understanding of what you will be able to do at the end of the course. We develop each course by designing modules that grow your abilities towards the learning outcomes and help you to explain what you can offer to employers. Find out more about our approach to teaching and learning.
We are proud to hold an Athena SWAN Bronze award in recognition of the work we do to support gender equality.
| UK (home) | International and EU |
|---|---|
| £9,250/£9,535 (to be confirmed) | £31,100 |
*In November 2024, the UK Government announced that the fee cap for full-time UK (home) students may rise from £9,250 to £9,535, starting from the 2025/26 academic year. We’ll publish any updates to fees on this page once they've been confirmed.
The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status.
For more information about tuition fees, any reduced fees for study abroad and work placement years, scholarships, tuition fee loans, maintenance loans and living costs see undergraduate fees and funding.
We'll confirm more funding opportunities for students joining us in 2025/26 throughout the year.
You can use our living costs guide to help plan your budget. It covers additional costs that are not included in your tuition fee such as expenses for accommodation and study materials.
Our teaching, learning and student experience is outstanding, recognised by a Gold rating from the Office for Students in the 2023 national assessment (Teaching Excellence Framework).
You’ll study and learn with academics who are active researchers, experts in their field and have a passion for their subjects. Our approach to teaching will provide you with the knowledge, opportunities, and support you need to grow and succeed in a global workplace. Find out more about our approach to teaching and learning.
A typical week will involve about 10-15 hours of scheduled teaching time. Our courses are based on a series of lectures with associated laboratory sessions, programming classes and tutorials.
Throughout the course, you will have a personal supervisor responsible for guiding your studies. In addition to any timetabled sessions, you will meet with your supervisor regularly, and you can also go to them at any time should you have any issues, academic or personal. There are problem classes to help you put learning from lectures into practice and regular project supervision meetings for your individual project.
You will also undertake learning outside of the scheduled timetable. This can be through working in the labs, which are accessible 24 hours a day, seven days a week, or through reading recommended materials or working through problems. Consequently, you'll need to be self-motivated, self-disciplined and willing to learn outside regular classes.
As you progress through the course you will develop your skills to become a more independent learner. You'll also spend time working on your individual research project later on in the course, in addition to timetabled activity.
In the UK, full-time students are expected to spend 1,200 hours a year learning. That's about 40 hours of classes and independent study each week during semesters. Everyone learns at a different rate, so the number of hours you spend on independent study will be different to other students on your course.
Built to the highest specifications, our modern, self-contained building is packed with cutting-edge facilities.
We have four software and two hardware laboratories with professional grade facilities that you'll use throughout your studies, depending on the modules you choose.
Our study and social pod is open 24/7 for group and individual study and events. It can be booked for student society meetings and for events.
Our building also contains a range of hi-spec labs that are used by our research teams. Depending on your interests, in the later stages of your degree you may get first hand exposure to these environments.
Our Interaction Labs provide excellent facilities for research and teaching in human-computer interaction. The Interaction Labs consist of an Accessibility and Usability Lab and a Games Research Lab, both of which are stocked with the latest technologies.
Our Real Time Systems Lab is the main research and development facility for the Real Time Systems research group. Inside the laboratory is a range of high-performance computers, custom hardware like FPGAs, robots, and various industrial machinery.
The Computer Vision group has a darkroom laboratory which enables us to conduct experiments in controlled illumination conditions and a second laboratory which includes a commercial 3D scanner.
Located close to the Department is our Robotics Laboratory - a purpose-built laboratory used for various robotics research projects and teaching. Within it, there is a dedicated student working area, with workstations and electronics bench equipment, alongside the main 80m2 robotics arena. There is also a workshop area with CAD, soldering and 3D printing facilities.
Find out more about our facilities, including a video tour showing our labs, teaching and research spaces.
The Department of Computer Science is based on Campus East. The majority of your teaching will take place in the department, with additional teaching taking place at other locations on Campus East.
Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It's easy to get around - everything is within walking or pedalling distance, or you can use the fast and frequent bus service. Take a campus tour.
We use a variety of assessment techniques throughout your course. This allows you to practice different techniques, from report writing, presentations and live demos to timed programming assessments and closed exams. It also means that you are not disadvantaged by being assessed in any one way.
To aid your learning we provide feedback on your assessments in addition to the marks you receive. Our Departmental Examinations Team is also available should you have any assessment queries.
We also ask our students for feedback on the course at the end of each year. This helps to improve and modify what we do to help meet the needs of our students.
Take a virtual tour of our modern, dedicated facilities.
The move towards a digital economy creates demand for computer scientists and software engineers across a broad section of employers, so the skills you develop here will make you attractive to many organisations. Most of our graduates go into the field of IT/computing, followed by financial services, some undertake further study (eg PhD) and others go straight into industry (for example working for IBM, BAE Systems).
Many of our graduates are employed by software and electronics industries, but the continuing expansion of the use of computers in commercial and financial operations means that you will be able to find employment in other industries - and here your sharpened numeracy and analytical skills will have prepared you well.
Read some profiles of our past students and find out how their degree from York helps them to do jobs in organisations as diverse as Mars Inc and Cancer Research UK. Other companies that York graduates have gone on to work for include Amazon, BAE Systems, Morgan Stanley, G Research, Thales, the Civil Service, M&G Investments, Ubisoft, Rapita Systems, Sky, BT, Raspberry Pi, IBM, JP Morgan, Hut Group and Automaton Games.
At York, you will gain a broad understanding of all of the essential scientific principles, engineering techniques and practices in computer science. This allows you to be flexible and adapt quickly in any field that you wish to go into. More specifically, we can identify four main skill areas:
| Typical offer | |
|---|---|
| A levels | AAA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AABB including Mathematics. |
| Access to Higher Education Diploma | We accept the Access to Higher Education Diploma. The syllabus must contain a significant portion of Mathematics that is considered equivalent to A level standard. Applications will be considered on an individual basis - please contact the Department before you apply. |
| BTEC National Extended Diploma | DDD and grade A in A level Mathematics (or equivalent qualification). We consider applicants with a combination of other BTEC Level 3 qualifications, and this must include an A level in Mathematics at grade A or above (or equivalent qualification). Please contact us to discuss your combination of qualifications. |
| Cambridge Pre-U | D3, D3, D3 including Mathematics |
| European Baccalaureate | 85% overall, including 85% in Mathematics |
| International Baccalaureate | 36 points overall, including grade 6 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations). |
| T levels | We are currently not accepting T Levels for this course unless an additional A Level (or equivalent qualification) in Mathematics has been taken. |
| Scottish Highers / Advanced Highers | Advanced Highers - A in Mathematics plus Scottish Highers - BBBB We may also be able to consider three Advanced Highers or a combination of Highers and Advanced Highers, where an applicant does not meet the grade requirement through Highers alone. Please contact us to discuss your qualifications. |
| International foundation programme | Foundation Certificate from our International Pathway College or an appropriate alternative. |
| Other qualifications | We welcome applications offering a mix of OU, A level and other appropriate qualifications. Applications will be considered on an individual basis: please contact the Department before you apply. |
| Other international qualifications | Equivalent qualifications from your country |
Meeting the following additional criteria may qualify you for an alternative offer.
| Criteria | Adjustment |
|---|---|
| Widening participation | If you successfully complete one of the following programmes, you may be eligible for an alternative offer up to two A level grades (or equivalent) below our typical offer: Black Access Programme, Next Step York, Realising Opportunities. More about widening participation. |
| Contextual offer | ABB including Mathematics. |
| EPQ | If you achieve an A or higher at EPQ, you will be eligible for a reduced offer, one grade below our typical offer. |
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
| Minimum requirement | |
|---|---|
| IELTS (Academic) | 6.5, with a minimum of 6.0 in each component |
| Cambridge CEFR | 176, with a minimum of 169 in each component |
| Oxford ELLT | 7, with a minimum of 6 in each component |
| Oxford Test of English Advanced | 136, with a minimum of 126 in each component |
| Duolingo | Integrated subscores: 120 overall, with a minimum of 105 in each component |
| GCSE/IGCSE/O level English Language (as a first or second language) | Grade C / Grade 4 |
| LanguageCert SELT | B2 with a minimum score of 33/50 in each component |
| LanguageCert Academic | B2 Communicator with a minimum score of 33/50 in each component |
| Kaplan Test of English Language | 478 Main Flight score with 444 in each component |
| Skills for English | B2: Merit overall, with Pass with Merit in each component |
| PTE Academic | 61, with a minimum of 55 in each component |
| TOEFL | 87 overall, with a minimum of 21 in each component |
| Trinity ISE III | Merit in all components |
| Other English language qualifications | We also accept other English Language qualifications, including various school-leaving certificates. |
For more information see our undergraduate English language requirements.
You may be eligible for one of our pre-sessional English language courses. These courses will provide you with the level of English needed to meet the conditions of your offer.
The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements.
After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York.
We offer a range of campus accommodation to suit you and your budget, from economy to premium.
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