MSc Data Science (Artificial Intelligence and Statistics)
硕士理科
学制1年
学费33900英镑/年
入学时间9月
语言要求雅思 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）
就业方向保险公司、咨询公司、制造业、医疗机构
岗位分布数据分析师、算法工程师、量化分析师、数据产品经理、数据科学家
📚 课程设置（7 门，核心课程 5 / 选修课程 2）
核心课程5 门
统计模式识别Statistical Pattern Recognition
机器学习概论Introduction to Machine Learning
时间序列Time Series
多变量数据分析Multivariate Data Analysis
高级机器学习Advanced Machine Learning
选修课程2 门
决策理论与贝叶斯统计Decision Theory and Bayesian Statistics
广义线性模型Generalised Linear Models
🎯 入学要求
官网给出的录取条件原文，含学校统一要求与该项目的附加要求；语言成绩的具体分数线请到项目官网核对。
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
Your year of study with us culminates in a focused research project in the field of data science with an applied/industrial focus, which develops the necessary skills to be able to professionally contribute to solving complex industrial data analysis problems.
The skills you'll gain are useful for a wide range of range of sectors where data analysis is required, for example finance, sociology, health and medical sciences.
This course also lays an ideal foundation for further academic study should you choose to progress to a research degree.
Modules
Dissertation
Advanced Regression and Multivariate Analysis
Statistical Data Science
Statistics for Artificial Intelligence I
Time Series
Statistics for Artificial Intelligence II
You will study one option module. 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.
Computational Finance with Python
Survival Analysis and Generalised Linear Models
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
Data Science Dissertation
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.
Apply statistical, machine learning and computational techniques to solve applied data science problems, using skills for problem representation and data analysis, as well as for programming. [Data science thinking].
Carefully examine and critically analyse advanced statements, arguments or conjectures that underpin the theoretical assumptions of statistical and machine learning techniques in order to justify the chosen data analysis strategies. [Analytical skills].
Develop and apply advanced statistical, machine learning and computational techniques for critical data analysis and data mining, in order to learn and discover meaningful data patterns and knowledge for real world applications. [Statistical Data Science].
Display mastery in tackling new and unfamiliar challenges in statistical data science, recognising appropriate ideas and approaches drawn from a range of advanced statistical and machine learning techniques. [Adaptability].
Analyse and apply statistical data science skills to practical problems and real-world datasets collected in collaboration with industrial partners, in a safe, ethical, and secure way. [Professionalism].
Employ advanced skills to conduct self-directed research aimed at carrying out specific tasks as shaped by current methodologies. [Independence].
Communicate complex ideas in statistical data science and the discovered knowledge in a clear and organised manner, and present an effective summary of these ideas. [Communication].
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.
We use a wide range of teaching methods to suit different learning styles including:
Lectures
Problems classes
Seminars
Lectures are used to describe new concepts you will have to learn and problems classes put them into practice. Seminars are small, interactive sessions which allow us to focus on your individual needs.
While you're working on your project and your dissertation you'll have regular meetings with an academic supervisor who can offer advice and support. We aim to give you a supervisor with specialist knowledge of the area you're investigating.
You will be based in the Department of Mathematics in James College on Campus West. Most of your small group teaching will take place in the Department's dedicated MSc seminar room (the Dusa McDuff room), with larger classes taking place close by in James College, Derwent College and elsewhere on Campus West.
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.
该项目为硕士 · 数据科学，官网介绍：Your year of study with us culminates in a focused research project in the field of data science with an applied/industrial focus, which develops the necessary skills to be able to professionally cont…
约克大学数据科学（人工智能与统计学）理学硕士的学制是多久？
该校官网公布为 1年（全日制）。
约克大学数据科学（人工智能与统计学）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。
约克大学数据科学（人工智能与统计学）理学硕士什么时候入学？
该校官网公布 9月 入学。
约克大学数据科学（人工智能与统计学）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）。
约克大学数据科学（人工智能与统计学）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 .