国际学生入学条件
We will consider applicants with a 2:2 degree in one of the following subjects: Computer science, Computer Engineering, Computer Networks, Computer Games, Computing, Software Engineering. With at least one other computer related module e.g., Database, Web Development, Software Engineering, Operating System, Computer Architecture, Computer systems OR a 2.2 degree in: Electronic Engineering, Electrical Engineering, IT/Information Technology, Telecommunication Engineering, Information Engineering, Automation, Mechatronic Engineering, Mathematics, and Physics. With at least one Maths module e.g., Mathematics, Calculus, Algebra, Differential equations, Probability and statistics, Signal and systems, Control theory, Control systems, Computer systems, Embedded systems, Microprocessors and 1 programming module such as C, C#, C++, Java, Python, Object oriented programming, Advanced programming, 1 math module such as Mathematics, Calculus, Algebra, Differential equations, etc. IELTS 6.0 overall with a minimum component score of 5.5, TOEFL IBT 76 overall with minimum component scores: listening 17, reading 18, writing 17, and speaking 20.
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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:76
- 托福笔试总分:160
- 其他语言考试:PTE - 50 overall with minimum component scores: Listening: 42 Reading: 42 Writing: 42 Speaking: 42
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
Our modern world is witnessing a growth of online data in a variety of forms, including web documents, blogs, social networks, digital libraries and medical records. Much of this data contains valuable information, such as emerging opinions in social networks, search trends from search engines, consumer purchase behaviour, and patterns that emerge from these huge data sources.<br>The sheer volume of this information means that traditional stand-alone applications are no longer suitable to process and analyse this data. Our course equips you with the knowledge to contribute to this rapidly emerging area. <br><br>Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data.<br>Our recent graduates have progressed to a variety of senior positions in industry and academia, and now work for global companies such as Microsoft as well as regional start-ups, as software developers, development managers and product managers.<br>We also work with the university's Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.
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