MSc Data Science
  • 学历文凭

    Masters Degree (Taught)

  • 专业院系

    信息系统

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

A strong (65%) upper-second class honours degree (or international equivalent) in a numerate science, computer science, or engineering. Examples of acceptable degree titles include, but are not limited to Computer Science, Computing, Mathematics, Statistics, Operations Research, Data Science, Software, Engineering, Psychology, Physics, Chemistry, Genetics, Biology, Neuroscience, Economics, Finance, Accounting, Econometrics, AstroPhysics, Geology / Earth Sciences, Civil, Engineering, Mechanical Engineering, Aeronautical Engineering, Chemical Engineering, Systems, Engineering, Electronic Engineering, Electrical Engineering, Nuclear Engineering, Manufacturing, Engineering, Software Engineering, Mining Engineering or Medicine
Ielts - 6.5 with 6.5 in all skills
Toefl ibt - 88 overall with R22, L21, S23, W22
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雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:Pearson's PTE - 67 in all skills
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课程简介

If you want to improve the world through the responsible use of data, the MSc in Data Science will give you the skills to do so. You will learn how to understand, in depth, the computational and statistical principles of modern data science and be skilled at the rigorous and ethical application of these techniques to real-world challenges.<br><br>Whether you have a background in numerate sciences, engineering, or computer science, the programme will provide you with the skills to succeed in this exciting and fast-moving discipline. It will equip you with excellent employment prospects to pursue roles in industry as either a data scientist or data engineer as well as for research and development roles.<br><br>This MSc aims to:<br><br>Equip you with the ability to work across disciplinary boundaries in the effective application and deployment of data-intensive solutions in a variety of contexts.<br>Give you a breadth and depth of knowledge and skills in computational, machine learning, and statistical principles and the capability for insightful large-scale data analysis, so you will be able to specify and implement analytical pipelines for real-world data at scale.<br>Provide you with a good understanding of the ethical issues in the application of contemporary data science techniques to real-world challenges, including arguments about the risks, benefits and disadvantages arising from the deployment of these technologies.<br>Enable you to independently initiate data science projects specified at a high-level perspective, leading them from scoping onward to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.<br>The MSc in Data Science has been co-designed with industrial partners and is highly relevant to rewarding employment opportunities. There is a strong emphasis on responsible innovation and ethics to encourage you to use your knowledge and skills for societal good in the workplace or through further research. The course is closely associated with excellent research in the University, ensuring leading-edge teaching.
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78

数据源:泰晤士高等教育世界大学排名

关于布里斯托大学

布里斯托大学在世界排名第61位,在英国排名第9位(2023年QS世界大学排名),以提供世界一流的教育而享誉国际。该大学的25000名学生中,约有四分之一来自英国以外的地区,国际学生是布里斯托全球校友网络中不可或缺的一部分。布里斯托大学是最受英国顶尖雇主青睐排名第四的大学,并且是英国毕业生就业能力排名前十的大学之一(2020年High Fliers Research; 2020年QS毕业生就业能力排名)。结合大学的专业职业支持,这意味着学生将拥有在未来获得成功所需要的信心、技能和经验毕业。布里斯托大学以其科研为荣,大学致力于为社会面临的一些最棘手问题提供创新解决方案,问题涵盖气候变化到人权等。该大学在《泰晤士报高等教育》对2014年卓越研究框架的分析中名列英国前五名。活跃的学生会经营着无数的俱乐部和社团,除了上课外,学生还有很多事情可以做。布里斯托市经常被评为英国最适宜居住的城市之一。布里斯托拥有多样化的人口,充满活力的文化和友好的社区,是适宜留学生的好地方。

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