Study how human reasoning can be imitated or surpassed by computer systems.
Year of entry: 2025/26
G4G7
Y50
4 years full-time
£9,250/£9,535 (to be confirmed) per year
£31,100 per year
Study the development of computational systems that can perceive, learn, store information, reason about what is known, communicate using human language and interact with the physical environment.
On this integrated Masters, you'll gain a thorough grounding in computer science then focus on themes such as natural language processing, machine learning, computer vision, intelligent agents and game AI.
Engage with the latest, cutting-edge research and benefit from our fantastic links with industry, potentially working on real-world projects specified by industry leaders.
Our courses are designed with our Industrial Advisory Board, so you’ll be well placed to adapt to the workplace.
This course is also available as a five-year course with a year spent in industry.
This course is accredited by:
Find out more about what this professional accreditation means.
Our software labs offer spaces for individual and group work.
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 and fourth years. 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.
There are opportunities for you to spend time abroad during your course:
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 should 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.
Most Artificial Intelligence and option modules are open to both third and fourth year students subject to meeting module prerequisites. When you take option modules in Year 4, you will need an additional assessment to reach Masters Level (M-Level). This may, for example, be an extra exam question with stricter marking criteria.
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.
In Year 4, you'll choose between a group engineering project or an individual advanced research project. You’ll also take modules which access departmental research at an advanced level.
Most Artificial Intelligence and option modules are open to both third and fourth year students subject to meeting module prerequisites. When you take option modules in Year 4, you will need an additional assessment to reach Masters Level (M-Level). This may, for example, be an extra exam question with stricter marking criteria.
As well as your project on an Artificial Intelligence related topic you'll take at least one Artificial Intelligence designated optional modules (you can't take a module at M Level in Year 4 that you have already completed at H Level in Year 3). Examples can be found below:
You will study up to three option modules depending on how many Artificial Intelligence designated modules you choose (you can't take a module at M Level in Year 4 that you have already completed at H Level in Year 3). 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.
Our modern, self-contained building houses four software laboratories, two hardware laboratories and a range of social learning spaces.
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.
There are unlikely to be any mandatory additional costs associated with the course, although you may want to set aside £200 for optional photocopying and personal stationery over the duration of the course.
We'll confirm more funding opportunities for students joining us in 2025/26 throughout the year.
See undergraduate scholarships for current information about funding opportunities for Computer Science students.
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, through reading recommended materials or by 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 your first year, you can expect:
| Lectures | 4-6 hours per week |
|---|---|
| Tutorials | 0-2 hours per week |
| Problem classes | 2-4 hours per week |
| Practicals | 3-6 hours per week |
| Optional activities | 0-3 hours per week |
These figures are representative of a typical week. Your contact hours will vary throughout the year due to your module choices, non-compulsory classes, exam periods and changes to scheduled activities.
Outside your timetabled hours, you'll study independently. This may include preparation for classes, follow-up work, wider reading, practice completion of assessment tasks, or revision.
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.
We have four software and two hardware laboratories which you will be able to use depending on the topic of your final year project. These facilities are professional grade and used by our research teams so, depending on your interests, you'll get first hand exposure to these environments.
Our study and social pod is open 24/7 for group and individual study. It can also be booked for student society meetings and for events.
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 have a darkroom laboratory which enables us to conduct experiments in controlled illumination conditions and a second laboratory which includes a commercial 3D scanner.
Along with students in the School of Physics, Engineering and Technology, you'll also have access to the Robotics Lab on Campus East, 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. The arena features a 5.5m high ceiling allowing drone experiments to take place as well as ground-based robots. Special tracking systems are installed to allow positional data of the robots to be extracted. 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 | A*AA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AAAA 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 grade A in A level Mathematics (or equivalent qualification). Please contact us to discuss your combination of qualifications |
| Cambridge Pre-U | D2, D3, D3 including Mathematics |
| European Baccalaureate | 87% overall, including 85% in Mathematics |
| International Baccalaureate | 37 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 - ABBB 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 | AAB 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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