国际学生入学条件
To be considered for entry, you must have completed:
An undergraduate degree with a major in a relevant discipline (computer science, data science or statistics) with a weighted average mark (WAM) of at least 65 per cent, and
12.5 points (one subject) of university-level computer science (or equivalent) with content focused on computer programming, and
Both the following subjects (or their equivalents): MAST10006 Calculus 2, MAST10007 Linear Algebra
IELTS - 6.5 (no band less than 6.0)
TOEFL IBT - 79 ,Writing 21, Speaking 18,Reading 13,Listening 13
TOEFL PBT - 577 ,TWE 4.5
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:577
- 其他语言考试:Pearson Test of English- 58, no communicative skill below 50
CRICOS代码: 092791B
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
《哈佛商业评论》将数据科学标记为21世纪最性感的工作。如果那意味着它们意味着数据科学领域的工作正在急剧增加,数据科学家可以在健康,零售或生态等各个领域工作,并且数据科学家正在要求高薪,那么他们就应运而生了。毕竟,我们每天要创建超过2.5艾字节的数据。有人需要弄清这一切。
If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on.<br>After all, we're creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.<br>You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline.Core subjects will give you a solid grounding in data science, so youll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.<br>Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.<br>Youll leave the course with a major data science project to feature in your CV. In the capstone project, youll apply data science tools to a practical problem, working individually or as part of a team to showcase your skills.<br>We know that youll need more than technical capability to succeed in the workplace. To round out your skill set, you can choose from professional skills subjects, such as scientific communication, so you can start your data science career with confidence.<br>If youd like to gain more real-world experience, you can choose to complete an internship in a science or technology-related workplace for course credit.
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