国际学生入学条件
Accept a scanned copy of your university transcripts for evaluative purposes. Acceptable documents must include the university/college name, your name, degree conferred with date (if applicable), grade point average and all courses with grades received. We require transcripts from all undergraduate and graduate institutions attended. As part of the MSBA application we require two letters of recommendation submitted either online or via hardcopy. Interviews are an important part of the admission process. The admissions interview offers you the opportunity to explain more in depth your educational and career experiences to date, and to elaborate on your post-MSBA career plans. A one- or two-page resume containing your employment and education background must be uploaded to your application.
For all other applicants whose native language is not English, we require the TOEFL exam (minimum score 100 IBT), the IELTS exam (minimum score 7.0).
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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:100
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English (PTE) (minimum score 68)
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
Specifically built for individuals who wish to speak the combined language of technology, business and data – our newly-created program produces business data scientists skilled at serving in any function, organization, or field. Our innovative MSBA offers you: Learning delivered through a multi-disciplinary curriculum integrating business, data, and technology, Access to faculty with deep academic knowledge and extraordinary industry experience, Small, intimate learning community guided by both academic and industry mentors, Interactions with leading companies and executives who provide real-world, data-intensive projects, A top-20 business school in the thriving cosmopolitan business city of Atlanta.<br><br>Goizueta's Master of Science in Business Analytics (MSBA) is designed to develop Business Data Scientists. The program brings together knowledge from three distinct fields of management, information systems/computer sciences and applied statistics to solve business problems. Classes begin each August and cover a wide range of current topics and provide rigorous training in the areas of data mining, machine learning, econometrics, relational and noSQL databases, text mining, data visualization, design of experiments, optimization, simulation, decision theory, consumer and human behavior.
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