If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
For more information see our postgraduate 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 .
You can apply and send all your documentation online. You don’t need to complete your application all at once: you can start it, save it and finish it later.
Apply for this course
Throughout the year, you will study four core modules and two option modules.
You will also develop skills to enhance your computational thinking engineering to enable you to succeed in an industrial, academic or research environment. The research project allows you to develop knowledge in a specific area of AI or machine learning, while developing skills to contribute professionally to solving commercial and industrial engineering problems.
You will study two option modules. 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.
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Work on your individual project will start around the beginning of April, and you will receive regular one-to-one supervisions throughout your project.
You will continue to work on your individual project over the summer, and there will be continuing supervision and research-group meetings to discuss your project. You will finish the course when you hand in your dissertation and paper for your project in September.
Every course at York is built on a distinctive set of learning outcomes. These will give you a clear understanding of what you will be able to accomplish at the end of the course and help you explain what you can offer employers. Our academics identify the knowledge, skills, and experiences you'll need upon graduation and then design the course to get you there.
Differentiate between the different paradigms of AI, theoretical underpinnings, relative strengths and weaknesses, and suitability for solving different types of problems.
Adapt to new AI technologies, languages, paradigms, terminologies and models as they become available, being confident to use advanced techniques and tools in practice.
Design and build data-driven intelligent systems, using appropriate techniques to manage large volumes of data, using appropriate techniques for labelled and unlabelled data, while understanding limitations caused by data bias.
Engineer solutions in which intelligent systems are used to solve real-world problems at scale, using knowledge and skills across the full breadth and depth of computational, machine learning, and mathematical principles.
Make immediate and effective contributions as part of multidisciplinary teams in industry, consultancy or education, by managing workloads, optimising resources and meeting deadlines, using experiences from team projects.
Operate as responsible AI practitioners, by maintaining awareness of the safety, ethics and security of intelligent systems, how they can impact on society, and by continuing to expand and deepen their knowledge through critical engagement with the discipline.
Teamwork is an important part of computer science. Therefore, you’ll spend time discussing maths problems and working on group projects, which can be great fun!
Will, Computer Science student
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.
Part of this course is taken up by taught modules. Each module comprises a mix of lectures, problem classes and practical classes, plus personal study time. In the second half of the course, you'll undertake an individual research project under the supervision of a member of staff.
Throughout the course you will have a personal tutor, who will provide academic and pastoral advice. When you undertake your individual project, you will be allocated a supervisor within your area of interest. The taught modules will take place in the first half of the course. You should expect to be working on open assessments during vacation periods.
Work on your individual project will start around the beginning of April, and you will receive regular one-to-one supervisions throughout your project. You will continue to work on your individual project over the summer, and there will be continuing supervision and research-group meetings to discuss your project. You will finish the course when you hand in your dissertation and paper for your project in September.
Due to the intensive nature of the course, you will need to be in York throughout both semesters and over the summer while you undertake your individual project.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 2 位 | 帝国理工学院Imperial College London | 1年 | 48300英镑/年 |
| 第 11 位 | 香港大学The University of Hong Kong | 1.5年 | 280000港币/年 |
| 第 12 位 | 南洋理工大学Nanyang Technological University | 1年 | 65749新币/年 |
| 第 18 位 | 香港中文大学The Chinese University of Hong Kong | 1.5年 | 263334港币/年 |
| 第 33 位 | 香港科技大学The Hong Kong University of Science and Technology | 1年 | 400000港币/年 |
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 47680英镑/年 |
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 42900英镑/年 |
| 第 40 位 | 曼彻斯特大学The University of Manchester | 1年 | 41400英镑/年 |