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.
How to apply
Apply for this course
📖 项目简介
Throughout the year, you'll study four core modules and two option modules.
You'll 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.
Modules
Final project
Natural Language Processing
Deep Learning
Research Methods in Computer Science
Large Language Models
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.
Professional & Academic Development
AI Search and Logic
Cloud Based Data Analysis
Engineering LLM-Based Agents and Applications
Engineering 2: Automated Software Engineering
Governance of Data Science
High Performance Parallel and Distributed Systems
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Capstone Project (Computer Science)
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.
Critically evaluate the theoretical foundations and architectures of large language models and their role within the broader field of artificial intelligence.
Design, implement and fine-tune large language models for specific tasks across diverse application domains, using state-of-the-art tools and frameworks.
Apply advanced techniques in natural language processing, including transfer learning and multimodal integration, to solve complex, real-world problems.
Assess and mitigate ethical, social and environmental risks associated with deploying LLMs, including issues of bias, privacy and misuse.
Interpret and communicate the outputs and decisions of LLM-based systems using explainability and interpretability methods suitable for technical and non-technical audiences.
Integrate LLMs into broader AI systems, demonstrating an understanding of how these models interact with other machine learning and knowledge-based components.
Independently design, execute and evaluate a significant project based on the synthesis and evaluation of up-to-date research literature from related areas, using clearly argued criteria. Findings will be presented in an accurate, accessible, detailed, concise report which details the sustained investigations and is appropriately addressed for a professional audience.
以上为约克大学该项目官网项目页原文（英文），本站未做改写或补写。
✨ 项目特色
该项目官网「Unique Program Features」原文，说的是这个项目自身的特点（学制长短、资助、实践安排、认证等），不是学校层面的通用介绍。
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.
该项目为硕士 · 计算机，官网介绍：Throughout the year, you'll study four core modules and two option modules.
约克大学人工智能与大型语言模型理学硕士的学制是多久？
该校官网公布为 1年（全日制）。
约克大学人工智能与大型语言模型理学硕士的学费是多少？
33900英镑/年，为该校官网公布的项目学费。
约克大学人工智能与大型语言模型理学硕士什么时候入学？
该校官网公布 9月 入学。
约克大学人工智能与大型语言模型理学硕士的语言成绩要求是什么？
雅思 6.5（W 6 / S 6 / L 6 / R 6） · 托福 87（W 21 / S 21 / L 21 / R 21） · 托福（新版） 4.5（W 4.5 / S 4.5 / L 5 / R 4.5） · PTE 61（W 55 / S 55 / L 55 / R 55）。
约克大学人工智能与大型语言模型理学硕士的入学要求是什么？
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 .