国际学生入学条件
Bachelor's degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content).
International Qualifications
We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications.
Overall IELTS 6.0 with minimum 6.0 in writing and speaking, and 5.5 in listening and reading(or recognised equivalent)
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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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雅思考试指南
- 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: 请与IDP顾问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.<br>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.<br>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.<br>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.<br><br>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. <br>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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