国际学生入学条件
Resume
Unofficial transcripts of all post-secondary work. Admitted students enrolling in the program will need to have official transcripts, including proof of degree conferral, on file prior to their first class
Goal Statement (essay)
Reference/Recommendation
International English Language Testing System A minimum score of 6.5 (with no subscore below 6.0)
Duolingo. A minimum score of 110 is required to be considered for full admission, along with the following subscores: Literacy: 110, Conversation: 100 Comprehension: 120 Production: 85
TOEFL iBT - 80 (with no subscore lower than 17)
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雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:80
- 托福笔试总分:160
- 其他语言考试:PTE Academic (Pearson Test of English) - A minimum score of 65 is required
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
Business analytics careers are booming across the fields of IT, financial services, healthcare, and biotech. If youre an engineer, computer programmer, or other high-tech professional, or if youre looking to balance out your business or financial experience with increased technical analytics skills, you can advance your career with the Suffolk Master's of Science in Business Analytics program. While earning your MSBA at Suffolk, you'll: Learn from industry experts who are each a mix of practitioners and accomplished scholars Study how to apply analytical functions to the fields of marketing, operations, accounting, finance, and healthcare Learn how to store and manage data, and how data preparation is vital to implementing business analytics Become a leader with the communication, presentation, and interpersonal skills to bridge the gap between data scientists and less-technical business professionals Have access to an extensive professional network of alumni and local industry leaders during, and after, your time at Suffolk Suffolk's comprehensive MSBA program uniquely balances business analytics and data management by teaching you business approaches to analytics and exactly how to manage and create projections with stored data sets. Master how to make high-level, data-driven determinations across a wide range of industries and how to communicate analytic information to non-technical business leaders and stakeholders, enabling them to make the best possible strategic decisions.<br><br>Develop an understanding of topics such as financial analysis, forecasting, and capital budgeting, and how to apply these trends to analysis of data in finance.
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