国际学生入学条件
Bachelor's Degree – You must hold a four-year baccalaureate degree from a regionally accredited institution, or an approved international equivalent.
Grade Point Average – You must have a minimum overall grade point average of 2.75 (4.00=A) for your bachelor's degree, or a minimum 3.00 (4.00=A) for the last two years (60 semester hours).
Transcripts – All applicants are required to submit a transcript from each postsecondary institution attended, showing all degrees and coursework, the dates awarded, and grades received. If the institution is outside the U.S., a foreign credential evaluation may be required.
Test of English as a Foreign Language (TOEFL) - (Internet-based) Minimum score: 80
International English Language Testing System (IELTS) - Minimum score: 6.5
Duolingo English Test (DET) - Minimum score: 105
Satisfactory GMAT or GRE scores. Preference is given to applicants with GMAT scores above 550 (or the GRE equivalent).
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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:550
- 其他语言考试:Pearson Test of English (PTE) - Minimum 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 UNLV Lee Business School Master of Science in Quantitative Finance (MSQF) will be a 10-course (30-credit) program that can be finished in 12 months. The program will provide advanced education and training on core finance knowledge and skills at the graduate level, with special emphasis on quantitative methods in finance and new financial technologies. These quantitative methods include mathematical finance theories as well as statistical and computer-program-based techniques to manage and analyze large financial data sets. Examples of finance theories are those related to capital structure, capital budgeting, valuation, stocks, bonds, derivatives, and portfolio management. Examples of empirical quantitative methods are programming and modeling skills using SAS, Stata, Excel, Python etc. to manage and analyze large databases of financial and investment information. Students will be able to choose from a menu of electives to prepare themselves for careers in corporate finance, investment management, and the application of technology to financial applications. The purpose of the program is to prepare successful finance professionals who are capable of utilizing the latest technologies to perform sophisticated financial analysis and management.<br><br>Learning Outcomes<br>Develop strong understanding of key concepts in Finance.<br>Analyze data with advanced statistical and econometric techniques.<br>Apply computer programing and statistical software to analysis of data.<br>Think critically about financial problems and provide potential solutions.<br>Develop the ability to manipulate and analyze large financial datasets.<br>Communicate effectively.
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