Master of Science in Business Analytics

学历文凭
Masters Degree

专业院系
小型企业管理

开学时间

课程时长

课程学费

国际学生入学条件
Submit documentation showing all previous college coursework. If an undergraduate degree was earned from the University of Montana, we do not require official transcript(s) to be submitted. Submit information for those qualified to attest to your academic potential or professional performance.
We will email recipients directly, requesting the letter of recommendation on your behalf. Submit documentation showing all previous college coursework. Applicants whose native language is not English must submit official TOEFL (Test of English as a Foreign Language) scores. If undergraduate degree was earned from the University of Montana, we do not require official transcript(s) to be submitted. TOEFL IBT- 92, TOEFL PBT-580
We will email recipients directly, requesting the letter of recommendation on your behalf. Submit documentation showing all previous college coursework. Applicants whose native language is not English must submit official TOEFL (Test of English as a Foreign Language) scores. If undergraduate degree was earned from the University of Montana, we do not require official transcript(s) to be submitted. TOEFL IBT- 92, TOEFL PBT-580
IDP—雅思考试联合主办方

雅思考试总分
6.0
了解更多
- 雅思总分:6
- 托福网考总分:92
- 托福笔试总分:580
- 其他语言考试:Michigan English Test (MET) - 58
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
Whether you are a business professional, a person looking to re-tool your skillset for the cutting-edge field of data analytics, or a talented undergraduate, the University of Montana’s Master’s of Science in Business Analytics prepares graduates for successful careers at the intersection of business, statistics, and computing. The Masters of Business Analytics (MSBA) is a 32 credit, two year program, offered through flexible delivery, either on campus or off campus using Zoom technology. <br><br>All coursework focuses on providing experience with both hard technical skills and soft business skills. The core curriculum includes the study of business intelligence, big data analytics, business statistics, statistical computing, data mining and management, and communicating insights based on data analysis and associated decision-making.
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