国际学生入学条件
Four-year bachelor's degree or equivalent with a minimum GPA of 2.5
Statement of Purpose
Resume
Two letters of recommendation
Undergraduate and/or graduate transcripts demonstrating satisfactory quantitative ability with 3.0 GPA and above for all quantitative courses including calculus, linear algebra, probability and statistics.
GRE or GMAT score - A minimum percentile of 30% for overall, verbal, and quantitative scores is required from those with less than 5 years of significant professional work experience. Test scores are considered valid for 5 years from the test date.
Foreign language test is required of all applicants who have earned their undergraduate degree from a country where the official language is not English. One of the following tests taken within the past two years are accepted: Official English Proficiency Score Report (Institution Code: 4671), TOEFL - Minimum of 80 iBT, IELTS - Minimum of 7.0 Band Score, PTE Academic Score - 65.
International students will not be issued an F-1 student visa for this program as it is a completely online program. You may apply but you will not be issued a student visa to come to the United States. All materials, inclusive of TOEFL scores, must be turned into the Office of Graduate Studies. To ensure consideration, international students should submit their material to the International Admissions Office one month prior to the above CBA application deadlines.
TOEFL
The University requires a minimum TOEFL score of 550 (paper based), 80 (internet based), or 213 (computer based).
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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:80
- 托福笔试总分:550
- 其他语言考试:PTE Academic Score - 65.
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 Master of Science in Business Analytics prepares students to connect data and models to substantive business problems so effective business decisions can be made. The program focuses on using quantitative approaches to help improve decision making and performance in business. To better understand business situations, students focus on collecting and analyzing data, drawing on computer technology, statistics, applied mathematics, and machine learning techniques. The program covers database concepts, data visualization tools and techniques, statistical modeling, machine learning, optimization, and their applications in business disciplines such as accounting, operations, finance, human resources, insurance, management, and marketing.
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