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
Modules in semester one will provide you with foundations of understanding the role of data and its analysis in the context of machine learning, which supports many later specialised options. Modules in semester two build on these foundations to address issues relating to system design, trusted data analysis and continuous professional development.
Throughout the course, but particularly in the Professional and Academic Development module, you'll have the opportunity to develop and enhance transferable skills such as analysis of others' work in order to achieve defined goals, and presentation of technical material in a variety of ways for a range of audiences. Additionally, you'll have access to pre-reading material to prepare for the course, as well as support from the Writing Centre and Careers . These courses and services are designed to enhance your language and academic writing skills, and to support you in planning your future career.
Option Modules
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.
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. You should expect to be working on open assessments during vacation periods. Throughout the course you will have a personal tutor, who will provide academic and pastoral advice.
In the second half of the course, you'll undertake an individual research project under the supervision of a member of staff. When you undertake your individual project, you will be allocated a supervisor within your area of interest. 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.
Built to the highest specifications in a modern, self-contained building, the Ian Wand Building houses professional grade software and hardware laboratories.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 8 位 | 伦敦大学学院University College London | 1年 | 48600英镑/年 |
| 第 8 位 | 苏黎世联邦理工学院ETH Zurich | 2年 | 1460瑞士法郎/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（深圳）The Chinese University of Hong Kong, Shenzhen | 2年 | 159000人民币/年 |
| 第 22 位 | 洛桑联邦理工学院EPFL | 2年 | 1460瑞士法郎/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 52 位 | 香港城市大学City University of Hong Kong | 1年 | 342000港币/年 |