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
Suffolk's downtown Boston campus is near the heart of the Financial Districtyou can get your MSF just steps away from where youre working. Our STEM-designated MSF program helps you build your knowledge of finance, broadens your internship and career opportunities, and provides access to an extensive professional network during and after your time at Suffolk. While earning your MSF at Suffolk, youll: Learn from industry experts who are each a mix of practitioners and accomplished scholars Study from a curriculum that aligns with professional practice and is guided by the cutting-edge industry trends identified by our Young Alumni Advisory Board Benefit from academic partnerships with the CFA Institute and the Global Association of Risk Professionals (GARP) Get excellent preparation for both the CFA Exam and FRM Exam Tailor your degree to one of five concentration areaslike Corporate Finance, Financial Services & Banking, FinTech, Investments, or Risk Managementthat help you to develop your analytical skills and build your specialty experience Suffolk's MSF is built on practical coursework that simulates the financial conditions of todayand tomorrow. Suffolk is the ideal downtown training ground for future finance leaders like you.<br><br>Examine how machine learning applies to the financial industry and how emerging technology is disrupting the financial landscape.
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