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）
就业方向互联网科技公司、咨询公司、政府机构、保险公司
岗位分布量化分析师、数据工程师、商业智能分析师、算法工程师、数据分析师
📚 课程设置（13 门，核心课程 5 / 选修课程 7 / 论文课程 1）
核心课程5 门
BIO00052M生物科学中的数据分析与编程Data Analysis and Programming in the Biosciences
PSY00121M道德与数据治理Ethics and Data Governance
PSY00122M数据可视化Data Visualisation
PSY00120M行为研究中的高级方法Advanced Methods in Behavioural Research
PSY00123M大行为数据Big Behavioural Data
选修课程7 门
PSY00046M编程概论Introduction to Programming
PSY00109M神经影像学中的数据分析Data Analysis in Neuroimaging
PSY00091M基于工作的高级学习Advanced Work-Based Learning
PSY00064M记忆与大脑Memory and the Brain
PSY00096M人为风险Human Risk
PSY00060M沟通的微观分析Microanalysis of Communication
PSY00093M健康心理学Psychology of Health
论文课程1 门
PSY00112M理学硕士项目MSc Project
🎯 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
Our core modules will introduce you to a wide variety of methods used in the analysis of behavioural data. You'll develop in-depth practical experience with, and knowledge of, different analytical techniques using the statistical language R, which is widely used for work of this nature. These methods will include traditional statistical techniques but also cutting-edge processes for analysing large data sets using AI. Throughout the course, you'll be provided with hands-on experience of working with diverse data sets from psychology, neuroscience, and other behavioural sciences.
You'll also develop an understanding of how to use visualisation techniques to present data in a clear and informative way across a number of professional contexts. You'll study the current thinking on key issues in data governance and ethical collection and use of data. All modules are aimed to take you from the key basics of analysis to more advanced cutting-edge techniques.
Modules
Dissertation
Data Analysis and Programming in the Biosciences
Ethics and Data Governance
Data Visualisation
Advanced Methods in Behavioural Research
Big Behavioural Data
Introduction to Programming
Advanced Work-Based Learning
Memory and the Brain
Human Risk
Microanalysis of Communication
Psychology of Health
Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning.
You'll complete an extended dissertation project, to help build an externally-facing data science portfolio to showcase to potential employers.
MSc Project
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.
Gain cutting-edge skills enabling them to assemble (import, clean, format, summarise) diverse human-relevant data within a contemporary statistical environment.
Design and compose informative data visualisations and dashboards, and compare and assess examples made by others.
Critically evaluate ethical issues around the use of human data, and appraise current techniques such as artificial intelligence, to ensure they are used for public good.
Design and assemble analysis pipelines for large-scale human data sets using appropriate tools, and deploy these on modern infrastructure (for example using continuous integration and continuous deployment systems).
Have a high-level understanding of a range of advanced statistical analysis and machine learning techniques, and be able to formulate data analysis plans and implement them using a modern programming language (R).
Create and project-manage their own data science projects, working independently and as part of a team, to construct professional quality reports and visualisations, and communicate their results to both specialist and non-specialist audiences.
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.
Teaching will consist of lectures, seminars, self directed learning, and group tasks. Real-world case examples will be blended with key theoretical and practical skills practice.
As the course progresses, you'll have greater independence with the emphasis being on choice, specialisation, and independent study, all supported by supervisors.
Seminars focus on small group work, discussions and presentations. You will gain knowledge in all aspects of research, from designing and carrying out experiments to analysing, critically evaluating and interpreting results. This experience will equip you with valuable skills that you will apply in your final empirical project.
Through the Virtual Learning Environment, you will have access to teaching materials, including lecture slides and recordings, practical demonstrations and supporting materials.
Our Department is purpose-built with superb teaching and research facilities. We have strong links with the Smart Data Donation Service (SDDS), which holds large-scale human behavioural data about online interactions and behaviour. Some examples include content exposure on video sharing platforms such as TikTok and YouTube, gaming data, and fitness trackers which could be linked to information on people's mental health or psychometrics.
该项目为硕士 · 数据科学，官网介绍：Our core modules will introduce you to a wide variety of methods used in the analysis of behavioural data.
约克大学数据科学（心理学）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（心理学）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（心理学）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（心理学）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（心理学）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 .