MSc Big Data Technologies
  • 学历文凭

    Masters Degree (Taught)

  • 专业院系

    计算机科学

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

Students need to have bachelor's degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content). We would normally expect you to have Grade C in GCSE English and Maths
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IDP—雅思考试联合主办方

雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:60
  • 托福笔试总分:160
  • 其他语言考试:Accepted Other English Language qualifications : Pearson PTE Academic, Trinity College London Integrated Skills in English, Cambridge IGCSE
CRICOS代码:
申请截止日期: 与IDP联系 以获取详细信息。

课程简介

This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data. The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year on year.During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.Our specialist laboratories have everything you will need to develop a thorough critical understanding and gain valuable hands-on experience in a wide range of emerging technologies, such as the Cyber Forensic lab, the OpenStack Cloud platform, and multiple Big Data platforms.Our dedicated and specialist staff will support you throughout the course and you will be assigned a personal tutor, a course tutor, and module tutors to oversee your progress. Dr Amin Karami, the programme leader, has a wide range of expertise in Big Data Analytics, Computational Intelligence, and Cyber Security in both industry and academia.We specialise in a number of areas including Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems, and Security - in all these areas there is a shortage of qualified practitioners. This course will open up fantastic new opportunities to develop your career and increase your earning potential, either within the industry or in academia.
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相关申请

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    奖学金

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  • 在线/远程学习

    在线/远程学习

关于东伦敦大学

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