Artificial intelligence (AI) is the study and development of computational systems with the capacity to think and act in a rational way, or even in a human way, with all our strengths and weaknesses.
On this course you will be challenged to study the development of systems with the capabilities to perceive, learn, store information, reason about what is known, communicate using human language and interact with the physical environment.
You'll gain a thorough grounding in Computer Science in the first two years. In the following years you will then sharpen your focus on AI, taking AI modules and an individual project. You will cover the four main AI themes: natural language processing, machine learning and automated reasoning, intelligent agents and pattern recognition and computer vision.
The five-year, integrated Masters format of this course allows you to study the AI specialism in-depth and you'll be able to engage with the latest, cutting-edge research. You will also have the chance to spend a year out in an industrial setting so you can start to put your knowledge into practice.
We have fantastic links with industry, and this allows us to give you exposure to the latest developments in the real world, as well as in our research. You may work on projects that have been specified by companies such as IBM or BT, who will then take any solutions and could use them within their business.
Our Industrial Advisory Board helps to steer our courses to make sure that what we teach is up-to-date and relevant to today's workplace. This means that when the time comes for you to get a job, you will be able to adapt quickly in the workplace, due to our principled and relevant teaching.
This course is also available as a four-year course without the year spent in industry. Please see MEng in Computer Science with Artificial Intelligence.
This course is recognised by BCS, the Chartered Institute for IT, for the purposes of fully meeting the educational requirement for Chartered IT Professional (CITP), CITP Further Learning and Chartered Engineer (CEng).
This course is also recognised by Institution of Engineering and Technology (IET) for the purposes of fulfilment of the educational requirement for CEng registration.
We place great emphasis on both practical and project work throughout the course, and you will be guided through this in scheduled practical and teaching sessions in the Department’s state-of-the-art teaching laboratories. Your first year is intended to give you the help you need to become an independent thinker. You'll work more on practical coursework and your individual project as the course progresses.
In the latter stages of the course you'll have the flexibility to choose modules and individual projects that are on topics relevant to you and your aspirations. You'll study within our world-leading research environment and learn from academics who are at the cutting edge of the latest developments in Computer Science.
You’ll take 120 credits per year as part of this course.
Your first year contains essential fundamental material in programming, computer architectures and human-computer interfaces. You will also learn about the mathematical and theoretical foundations of computer science. We also teach you how to increase your employability prospects, including helping with your presentation style and exploring the professional issues in Computer Science.
These are examples of the modules we currently teach in our first year:
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:
Your second year continues teaching you the fundamentals of the discipline, and more specialist modules start to be introduced, including those in the main themes of AI. You will also choose to undertake either a software engineering or hardware project.
Current second year modules are:
You take your year in industry after your second year, as part of your degree.
We have excellent relationships with a strong portfolio of companies - you could do your placement with a large multinational such as IBM, AE Systems or Goldman Sachs, or with a smaller, more local company. See examples of companies that take our students.
Your year in industry gives you the chance to use what you have learned during your degree. You'll also be paid a good salary, so you can start to pay off any loans!
Students who take a year in industry generally achieve better grades, develop a broader range of skills and are more attractive to future employers. Some students even find a job with their placement company before they graduate.
Find out more about the year in industry.
When you return to the University for your fourth year, there is more flexibility, and you can choose optional modules from those specialising in AI, as well as some based on the latest developments in the discipline and research here at York.
Examples of current modules include:
You'll also undertake a large, individual research project.
For your individual research project you will be able to choose from a large list of project titles, or define your own topic according to your interests.
Some recent examples of projects are:
You will undertake a group project and five modules.
Examples of current modules include:
Please note, modules may change to reflect the latest academic thinking and expertise of our staff.
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.
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.
UK/EU or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK, EU or international student.
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 offer a number of scholarships to help cover tuition fees and living costs.
We have a number scholarship opportunities available for students in 2018/19, including three IBM scholarships.
You can use our living costs guide to help plan your budget. It covers accommodation costs and estimated social costs.
Following the 2014 REF, our research was assessed 7th overall in the UK, 5th for impact and 6th for environment by THE.
Our staff are at the cutting edge of their fields and we maintain strong links with industry.
“Students from all backgrounds achieve consistently outstanding outcomes”
The TEF Panel, Office for Students, June 2018
Our Gold Teaching Excellence Framework award demonstrates our commitment to the delivery of consistently outstanding teaching and learning for our students.
You’ll work with world‐leading academics who’ll challenge you to think independently and excel in all that you do. 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 15-20 hours of scheduled teaching time. Our courses are based on a series of one-hour 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 one-to-one weekly project supervisions in your final year.
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; you will be allocated a project supervisor, with whom you will have regular meetings in addition to timetabled sessions. You can go to your supervisor for support and advice regarding your project.
As a guide, students on this course typically spend their time as follows:
|Year 1||Year 2||Year 3||Year 4||Year 5|
|Lectures and seminars||420 hours||348 hours||0 hours||276 hours||180 hours|
|Placement||0 hours||0 hours||1200 hours||0 hours||0 hours|
The figures above are based on data from 2016/17.
The rest of your time on the course will be spent on independent study. This may include preparation for lectures and seminars, follow-up work, wider reading, practice completion of assessment tasks, or revision.
Everyone learns at a different rate, so the number of hours will vary from person to person. In UK higher education the expectation is that full-time students will spend 1200 hours a year learning.
Built to the highest specifications, the Department is packed with cutting-edge facilities housed in a modern, self-contained building.
The Department houses four software and two hardware laboratories which you will be able to use depending on the topic of your third 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 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.
Our Robotics Laboratory is 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 campus - everything is within walking or pedalling distance, or you can always use the fast and frequent bus service.
We use a variety of assessment techniques throughout your course. This allows you to practice different techniques, from report writing and presentations to closed exams. It also means you are not disadvantaged by being assessed in any one way.
Here's a few examples:
We provide exam review sessions, where you can come and see your marked assessment and ask an academic member of staff any questions about the way it has been marked. We also provide you with electronic feedback, which is given alongside the marks you receive. We also have a Board of Examiners, to which any student can apply if they wish to take queries about their assessments further.
We also ask our students for feedback on the course and assessments at the end of each year. This helps to improve and modify what we do to help meet the needs of our students.
|Year 1||Year 2||Year 3||Year 4||Year 5|
The figures above are based on data from 2016/17.
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 etc).
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 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.
Computer Science graduates can expect to earn nearly £40,000 after five years in employment (Longitudinal Education Outcomes Dataset).
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 as follows:
AAA - AAB including an A level in Mathematics at grade B or above.
An A level in Mathematics is an absolute requirement for all our courses. Your other two A levels can be any subject.
|GCSEs||We recommend the new OCR or AQA GCSEs in Computer Science/Computing, so that you can gain a grounding in the principles of Computing, though this is also not an admissions requirement to any of our degrees. We look for applicants who have a good range of subjects at GCSE, including English Language at grade 4 (C) or above. We also require a qualification in a physical science; for example, a GCSE at grade 4 (C) or above in Physics or Double Science.|
|BTEC||BTEC National Extended Diploma: Grades DDD, plus a grade A in A level Mathematics. For all applicants studying the BTEC National Extended Diploma, we will also require an A level in Mathematics. BTEC HNC Diploma (Level 4) or HND Diploma (Level 5): We ask for the HNC Diploma or HND Diploma with Distinctions in most papers, and Merits in all those papers that are not Distinctions, plus a grade A in A level Mathematics.|
|Cambridge Pre-U||Pass with D3/D3/D3 - D3/D3/M2 in principal subjects including Mathematics.|
|International Baccalaureate||Overall grade of 36 - 35 points, with a grade 6 in Mathematics at Higher Level. You should have at least some basic qualification in Physics. The ideal preparation would be Physics at HIGHER level; but it would still be very useful to you at STANDARD level. Nevertheless, we do not require it to be part of your IB, provided you have studied physical science earlier in your school career.|
|Irish leaving Certificate||AAAAAB - AAAABB at Higher Level, including A1 or A2 in Mathematics. European Baccalaureate: An overall average of 85% - 80% with a Mathematics (FIVE-period) by written examination result of 85%.|
|Scottish Highers / Advanced Highers||Scottish Highers / Advanced Highers: AA - AB in Advanced Highers, including Mathematics, plus AAAAA - AAAAB at Higher Level.|
If English isn't your first language you may need to provide evidence of your English language ability. Please see our English language requirements pages.
To apply to York, you will need to complete an online application via UCAS (the Universities and Colleges Admissions Service).
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