大数据作为一个宽口径的新兴职业，市场上数据人才的缺口还是非常大，因此也创造了很多工作机会，英国大学也顺应市场需求，去年杜伦就新开设了BA（Business Analytics），今年又开设了Data Science，而后曼大、伯明翰大学、格拉斯哥大学也不约而同地开设Data Science专业。

那么，Data Sciences数据科学是学什么的呢？

简单来说就是一门将数据变得有用的学科，我们来看看英国这几个新开的Data Sciences

杜伦大学

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杜伦推出全新数据科学相关课程分为六个方向，分别是：

Master of Data Science 

- subject to approval starting October 2020

Master of Data Science (Digital Humanities) 

- subject to approval starting October 2020

Master of Data Science (Health) 

- subject to approval starting October 2021

Master of Data Science (Social Analytics) 

- subject to approval starting October 2021

Master of Data Science (Biosciences) 

- subject to approval starting October 2021

Master of Data Science (Earth Sciences)

- subject to approval starting October 2021

可以看出杜伦的Data Science开得十分有诚意，细分多个方向，旨在为不同领域的非技术学位的学生快速掌握数据科学所需的知识，从抽象的理论落实到实践中理解，值得表扬的是，该专业非常适合初学者，不需要任何数学或者编程等背景，非常欢迎各个领域来又想用数据科学去深度挖掘本领域的同学去申请。

对于为什么杜伦去年已经开了BA今年继续新开一个DS呢？学校给出这样的理由：在我们周围，正在产生和收集大量日益复杂的数据，例如来自移动设备、照相机、汽车、房屋、办公室、城市和卫星。商业、研究、政府、社区和家庭可以利用这些数据作出明智和合理的决定，从而更好地成果。任何一个个人或一组个人都不可能掌握所有相关数据：因为太多了。数据科学使我们能够有效和高效地分析大量数据因此，已经成为增长最快的职业领域之一。以前，数据科学是数学和计算机科学的专家，但新的出现技术和计算能力的提高意味着非专家现在可以学习如何访问，清理、分析和可视化复杂数据。因此，在已有专业基础上学习数据科学来增加自己的专长能为他们大大提高自己的竞争能力。

曼彻斯特大学

曼大的DS专业也是分为6个方向：

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曼大的DS开设在社会科学院，MSc Data Science (Business and Management)和MSc Data Science (Social Analytics)这两个方向则有点低阶版business analytics的意思，这个低阶并不是说含金量没有BA高，而是一来，录取门槛放宽了，因为BA是在曼大商学院，录取有认可list！二来，对于商科背景不是那么强的同学或者从社科转专业的同学来说，这两个专业是非常好的选择！

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而对比一下社会科学院和商学院的DS和BA的课程设置

MSc Data Science (Social Analytics)

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MSc Data Science (Business and Management)

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MSc Business Analysis and Strategic Management

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MSc Business Analytics: Operational Research and Risk Analysis

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从课程设置可见，曼大的DS和BA里面有一些模块是相同的，但DS的选课又更加灵活。但无论是DS还是BA，曼大对申请者数学基础一贯比较看重哦！所以同学们在申请的时候要在文书上强调自己的数学能力这样可以为你加分哦。曼大今年录取将和以往一样采取分轮审理，第一轮申请时间将于2020年11月1日截止。

格拉斯哥大学

格大新开设的数据分析专业全名是DATA ANALYTICS FOR ECONOMICS & FINANCE，是亚当斯密商学院和计算机学院合作的项目，但专业放在商学院里（亚当斯密商学院拥有三重认证），

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要注意的是该专业开课时间是2021年1月，所以现在是开放申请的，而申请截止时间是2020年10月26日，如果有同学感兴趣可以申请哦！

为什么开始这个专业？学校说：该计划为学生提供了一个多学科课程，使他们为从事与经济和金融以及市场营销和商业相关的数据领先专业的所有领域的工作做好准备。该计划的主要功能包括将经济学和金融，统计学和计算科学的见解相结合，重点在于培养新一代专业人员，他们可以使用数据严格的方法来指导复杂的决策制定，并为您提供一套面向未来且始终需求很高的技能。

此项目适合那些对获得结合经济洞察力的数据分析技能有浓厚兴趣并渴望在金融，银行，咨询，政府和其他主要国际机构中工作的人。

录取要求和杜伦不同，需要专业背景：经济学，金融，计算机科学或其他定量学科本科专业背景，商学院有自己的认可list，详细可咨询小助手。该学位的所有课程都需要大量的编程知识，如果申请者没有编程经验也有望在短时间内获得高级编程技能。

伯明翰大学

伯明翰一直都有Data Science Masters，但今年新开设了一个MSc Responsible Data Science，

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以他们的学科教授Karen Yeung的话来说：尽管各地的法学院现在都为学生提供更多的“技术法”科目，但他们没有使他们对核心技术有所了解，也没有对技术治理的挑战有更广泛的了解。在伯明翰，我们正在培养下一代21世纪的律师，他们既了解数据科学的基础知识，又了解现实世界中的核心法律，道德和法规含义。

可见伯明翰的DS要求申请者是需要有法律背景的哦，同时也要求有一定的数学能力，如果数学基础不够硬，学校会要求在开学前通过Maths  Bootcamp的考试。另外伯明翰对足够优秀的申请者提供2000欧的奖学金或学费减免哦！

该专业最大的优势是获得顶级法律事务所的支持，这些律师事务所将支持该计划的发展，并提供有偿工作经验作为学位的一部分。这些公司包括国际公司，如Allen＆Overy，Baker McKenzie，Eversheds Sutherlands，Fieldfisher，Kemp Little和Lewis Silkin。

课程设置：

Semester 1:

Summer Maths Bootcamp 

For applicants without an A-level maths qualification, a summer school maths training ‘Bootcamp’ will be offered (subject to additional course fees) in order to ensure that all candidates have basic maths competency prior to the commencement of the course

Programming for data science 

Develop your programming skills, motivated by examples drawn from across the spectrum of data science.

You will learn how to design and implement complete solutions to data science problems using a range of tools and libraries.

Algorithms for data science 

You will study a range of modern techniques from across the data science spectrum including supervised learning, data mining, and statistical pattern recognition.

The module will give the student a good understanding of how, why and when different methods work and experience of applying them in practice.

Storing and managing data 

This module will introduce you to the central concepts and tools needed for the effective management of data.

Topics covered will include database systems, data cleansing, quality assurance, data provenance.

The module will also address legal and ethical issues associated with data storage, including the requirements of data protection legislation. 

Semester 2:

Regulating Technology 

Primarily aimed at upskilling you with the technical competence, skills and expertise necessary to undertake AI and data science-related professional jobs.

Secondly, it will also equip them with the knowledge and analytical skills and capacities needed to understand and respond appropriately to the challenges, risks and opportunities required to regulate and govern AI and other data-driven and potentially ‘disruptive’ technologies responsibly. 

Contemporary Case Studies in the Governance of Complex Socio-technical Systems 

Module to enable you to reflect critically on the need for, and the risks and challenges associated with, attempts to regulate emerging technology through a series of concrete case studies, drawn from contemporary experience.  

In so doing, it is intended to build upon the companion module, Regulating Technologies, enabling you to apply and develop their understanding of the knowledge, concepts, analytical frameworks examined in that module via case study investigation. 

Group project

Cross-disciplinary group project - likely to consist of a hypothetical ‘use case’ which includes a technical component while also raising multiple issues concerning its social and ethical acceptability (and will invariably raise legal issues, specific to the context of the proposal).  

The project deliverable will consist of both a technical component and a critical non-technical component, requiring the group to provide advice on both the technical and legal dimensions and ‘legitimacy’ of the proposal from an ethical perspective (in terms of social legitimacy understood within an assumed liberal democratic political community) including concrete proposals for oversight and responsible governance.

Each group will consist of 4-5 you, who are expected to work together as a group and meet weekly with a supervisor.

Data Visualisation (Optional) 

Techniques for visualising complex datasets, including best practice for visual display, dimensionality reduction techniques, and tools for visualisation.

NB: You are not required to take this module. However, if they wish to, permission may be granted by the programme director on an individual basis, having regard to the student’s individual aims for the course and progress during the course.

Semester 3:

Summer project 

The summer project will be jointly supervised via Law and Computer Science and will entail an industry placement, arranged by Accenture (within Accenture or one of the industry partners).

Final Dissertation on Summer project

今年英国新增的DS院校和专业介绍完了，通常新开的专业一开始会不是那么多人了解，所以把握好申请时机非常重要哦！

英国2021年入学申请开放时间

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