国际学生入学条件
Statement of purpose (500-1000 words): identifies your educational goals and expectations of the program, please be aware that the University's academic policy on plagiarism applies to your statement of purpose
Professional resume.
Unofficial undergraduate transcripts. Upon admission to the program, you must provide the official undergraduate transcript(s) in a stamped and sealed envelope from the institution(s), stating degree conferral and date
Two letters of recommendation: from individuals who have either academic or professional knowledge of your capabilities such as a faculty member, colleague, or mentor, preferably one from your current employer.
Official associate or bachelor's degree transcript from an accredited college or university in the U.S., stating degree conferral and date
TOEFL IBT - 79 and a writing portion of 20
IELTS - 6.5 no band lower than 6
GPA- 3.0
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雅思考试总分
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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:160
- 其他语言考试:PTE - 53
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
分析是主要理论,工具和方法的集成,以识别并成功传达数据驱动的见解,从而在数字时代做出明智的决策。分析师可以就本地,国家或全球环境中的挑战和趋势,阐明并有效捍卫数据分析工作的重要性和意义。他们提出了解决分析问题的有效途径,该分析问题可能因竞争环境,利益对立以及分散或不确定的数据和信息而变得复杂。分析专业研究硕士课程通过教授定义分析师能力的能力来满足雇主不断增长的需求,这些能力定义了分析师通过与绩效目标直接相关的行为来证明知识,技能和性格的应用的能力:统计/数学,分析系统技术,商业智能,高级分析,业务流程/管
Analytics is the integration of the major theories, tools, and approaches to identify and successfully communicate data-driven insights for informed decision making in the digital age. Analysts articulate and effectively defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national, or global context. They propose an effective path to resolution of an analytical problem that may be complicated by the competitive environment, opposing interests, and divergent or uncertain data and information. The Master of Professional Studies in Analytics helps to meet the increasing demand from employers by teaching the competencies that define an analyst's ability to demonstrate the application of the knowledge, skills, and dispositions through behavior that is directly related to performance goals: Statistics/Mathematics, Analytics Systems Technology, Business Intelligence, Advanced Analytics, Business Process/ Management, Business Analytics Agility, Communicating with Data, and Leadership/Data Governance, Policy and Ethics. Degree Progression Program Lengths 18-24 Months
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