2014-03-28 16:05:07 来源: 互联网 责编:楷维留学指南
金融工程,普遍称之为Financial Engineering,但是在不同的美国大学有不同的名称:Financial Engineering, Financial Mathematics,Mathematical Finance,Computational Finance。然而无论是叫金融工程,金融数学,数学金融还是计算金融,它们的实质都是一样的——it represents the emerging discipline wherein mathematical tools are used to model financial markets and solve problems in finance,即以数学工具来建立金融市场模型和解决金融问题的新兴学科。
由于USNEWS上面没有关于金融工程的排名,Princeton的Quantnet排名大约每两年做一次这个专业的排名。因此对于申请美国金融工程专业的学生来说,最常参考的是QuantNet的金融工程专业排名,为方便学生,楷维留学指南整理了2013-2014年度QuantNet金融工程专业完整排名。>>>查看2013-2014 QuantNet 金融工程专业完整排名
QuantNet金融工程专业排名是以U.S.News & World Report美国新闻与世界报道的Business School Rankings Methodology为基础的算法进行排名,截至到目前为止最有参考价值的MFE排名。
Quantnet从以下三个方面考察以下22个金融工程项目。
1. Employer Survey Score (25%):他们调查了这些机构的长期合作的雇主。
2. Placement Success (50%):毕业起薪,就业率和师生比例。
3.Student selectivity (25%):GRE成绩,本科GPA和录取。
从Quantnet金融工程专业排名原理可以看出:
1. 学校肯定会非常看重硬件条件。原因很简单,GRE score 和Undergraduate GPA单这两项的占比就在20%。
2. 和职业发展相关的参数占比非常大,雇主调研占比25%,毕业起薪和就业率这两项的占比45%,和职业发展相关的总占比是70%。这就意味着排名榜上越靠前的学校,职业发展就是越好的。
| RANK | UNIVERSITY | PROGRAM | TUITION |
|---|---|---|---|
1 100 | Carnegie Mellon University Pittsburgh, PA | Computational Finance | $77,100 |
2 99 | Columbia University New York, NY | Financial Engineering | $56,808 |
2 99 | Princeton University Princeton, NJ | Master in Finance | $84,140 |
4 98 | Baruch College, City University of New York New York, NY | Financial Engineering | $35,040 $24,315 |
4 98 | University of California, Berkeley Berkeley, CA | Financial Engineering | $58,895 |
6 97 | New York University New York, NY | Mathematics in Finance | $62,000 |
7 92 | Columbia University New York, NY | Mathematics of Finance | $54,720 |
8 90 | Massachusetts Institute of Technology Cambridge, MA | Master of Finance | $74,900 |
9 88 | Cornell University Ithaca, NY | MEng, FE concentration | $69,000 |
10 82 | Georgia Institute of Technology Atlanta, GA | Quantitative and Computational Finance | $54,144 $20,772 |
10 82 | University of California, Los Angeles Los Angeles, CA | Financial Engineering | $55,600 |
12 79 | Rutgers University New Brunswick, NJ | Mathematical Finance | $47,250 $28,539 |
12 79 | University of Toronto Toronto, Canada | Mathematical Finance | CAD 42,000 |
14 78 | Boston University Boston, MA | Mathematical Finance | $65,955 |
14 78 | University of Chicago Chicago, IL | Financial Mathematics | $51,012 |
16 75 | NYU-Poly Brooklyn, NY | Financial Engineering | $44,979 |
16 75 | Rutgers University Newark, NJ | Quantitative Finance | $58,317 $35,445 |
18 74 | Fordham University New York, NY | Quantitative Finance | $50,875 |
19 73 | Johns Hopkins University Baltimore, MD | Financial Mathematics | $60,000 |
20 70 | University of Illinois Urbana, IL | Financial Engineering | $51,000 $25,500 |
20 70 | University of Michigan Ann Arbor, MI | Financial Engineering | $63,184 $33,671 |
20 70 | University of Minnesota Minneapolis, MN | Financial Mathematics | $40,470 $32,870 |
20 70 | University of Washington Seattle, WA | Computational Finance & Risk Management | $37,800 |
20 70 | Claremont Graduate University Claremont, CA | Financial Engineering | $81,120 |
25 62 | Illinois Institute of Technology Chicago, IL | Mathematical Finance | $49,104 |
2013-2014 MFE Programs Rankings Methodology
25 master programs in Financial Engineering, Mathematical Finance, Quantitative Finance were surveyed from August to September 2013 on admission, placement, and career services information. 25 of the 25 programs responded, of which 24 programs (96%) provided the data needed to calculate the rankings based on a weighted average of the categories described below.
Employer Survey Score (25%)
In September 2013, QuantNet surveyed hiring managers, corporate recruiters and professionals representing a wide range of groups across financial institutions in US, UK and Asia to identify which of the 25 programs in the 2013-14 ranking whose graduates they have interviewed or hired from within the last two years; of those surveyed, 64.6% responded.
Placement Success (50%)
Student selectivity (25%)
Overall score
A score for each program is accumulated from the points in each category multiplied by the category's assigned weighted average. The final scores were rounded to the nearest integer. A tie is determined if any two or more programs have the same final score and tied programs are listed alphabetically.
For programs that do not provide statistics, their most recent published data was used.
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