国际学生入学条件
Applicants must submit a sealed, official transcript from every undergraduate and graduate institution that has granted the applicant a degree. For undergraduate coursework, applicants are required to submit proof of a completed bachelor's degree from a regionally accredited college or university. Unofficial copies of transcripts are accepted for review purposes, but official copies will be required upon admission. Applicants must submit a copy of their resume. Standardized test scores are not required in order to apply for this program. Applicants who have taken the Graduate Record Examinations (GRE) General Test are invited to submit scores, but are not required to do so. Please submit a 2-3 page statement of purpose that details your academic and/or professional achievements, your specific areas of interest within your desired field of study, why you are a strong candidate for graduate studies at CGU, and your career goals. For programs requiring two letters of recommendation, you are welcome to enter an optional third reference. A minimum TOEFL score of 95 iBT, or a minimum IELTS score of 7.0 with no sub-score lower than 6.5, is required for direct-entry admission. Admitted students who score below 95 iBT on the TOEFL, or below 7.0 on the IELTS, will be required to successfully complete ISP (earning a grade of B or higher in each required ISP course) prior to beginning their degree programs.
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IDP—雅思考试联合主办方

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:95
- 托福笔试总分:160
- 其他语言考试:Pearson PTE – 66
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
The MS in Information Systems and Technology with a concentration in Data Science and Analytics explores the ways massive volumes of data can be used to enhance human performance and solve business and societal problems. The Internet, social media, and mobile technology have led to an explosion of information production and gathering. From public health to energy policy, financial markets to voting rights, big data promises to revolutionize how we understand the world. Yet the full potential of big data has not been completely imagined or understood. This technically driven, industry-oriented program explores this potential, equipping you with enhanced analytical and managerial tools to become a leader in this burgeoning technological field. You will learn data mining, specialized programming, and other computational skills to understand how data can be used to solve problems affecting society, working with distinguished faculty who have impressive careers as IS and T scholars and practitioners.
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