国际学生入学条件
Undergraduate degree of 3 years minimum in a relevant area (see below), either from the University of Melbourne, another Australian institution, or a university in another country, with a minimum weighted average mark (WAM) of 70% or equivalent. This does not guarantee a place in the course, a place will depend upon student demand.
Minimum of one of the following relevant areas taken at a third year university level:
Commerce
Mathematics and/or Physics
Computer Science or Information Systems
Engineering and/or Science
Interviews will be required for applicants who are shortlisted.
GMAT scores may be required if a University of Melbourne credit average equivalence is difficult to obtain.
In order to be considered for entry, applicants must have completed an undergraduate degree of 3 or 4 years minimum in one of the following relevant areas taken at a third year university level from a recognised institution, with a minimum weighted average mark (WAM) of 70% or equivalent:
Commerce
Mathematics and/or Physics
Computer Science or Information Systems
Engineering and/or Science
IELTS score minimum requirement of 7.0 overall with no individual band less than 7.0
TOEFL IBT score minimum of 94(written score minimum of 27 and no band less than 24)
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:94
- 托福笔试总分:600
- 其他语言考试:PTE overall score minimum of 65+, with writing skills of minimum 65 and no other communicative skill below 65.
CRICOS代码: 084058J
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
在当今世界中,随着数据量的不断增长,可以理解信息流的企业具有竞争优势,使毕业生具备计算,分析和业务技能,可以为雇主提供备受追捧的优势在澳大利亚乃至全球。墨尔本商学院商业分析硕士为您提供技能和知识,使他们成为杰出的数据科学家,不仅是数学和信息系统方面的专家,而且能够以商业头脑的战略眼光进行分析。该高级一年制全日制学位课程重点研究定量方法和数据在决策中的作用。您将学习数据如何通过统计和定量分析,解释性和预测性建模以及基于事实的管理来推动决策。
Businesses that can extract value from the ever-increasing volume of data in today’s world have a competitive edge, making graduates with the computational, analytical and business skills to provide that edge highly sought after by employers in Australia and globally.<br>The Melbourne Business School Full-time Master of Business Analytics gives you the skills and knowledge to become a stand-out data scientist expert in not just maths and information systems, but also able to approach analytics with the strategic perspective of the business mind. This advanced, one-year, full-time degree focuses on quantitative methods and the role of data in decision-making. Discover how data can drive decision-making through statistical and quantitative analysis, explanatory and predictive modelling and fact-based management. You will learn from experts in computer science, statistics, mathematics and business management and become a skilled user of SAS, R, Python, Tableau and other tools. The Personal Effectiveness Program, which runs throughout the program, will also develop your ability to communicate with confidence the business value of your analytics insights to decision makers.
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