2011 QuantNet Ranking of Financial Engineering Programs
2011年9月19日发布,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.
RANK | UNIVERSITY | PROGRAM | TYPE | DURATION |
---|---|---|---|---|
1 | Carnegie Mellon University Pittsburgh, PA | Computational Finance | FT/PT | 1.5 years |
2 | Princeton University Princeton, NJ | Master in Finance | FT | 2 years |
3 | Columbia University New York, NY | Financial Engineering | FT | 1 year |
4 | New York University New York, NY | Mathematics in Finance | FT/PT | 1.5 years |
5 | Baruch College, City University of New York New York, NY | Financial Engineering | FT/PT | 1.5 years |
6 | Stanford University Stanford, CA | Financial Mathematics | FT | 1 year |
6 | University of California, Berkeley Berkeley, CA | Financial Engineering | FT | 1 year |
8 | Columbia University New York, NY | Mathematics of Finance | FT/PT | 1 year |
9 | Cornell University Ithaca, NY | MEng, FE concentration | FT | 1.5 years |
10 | Massachusetts Institute of Technology Cambridge, MA | Master of Finance | FT | 1 year |
10 | University of California, Los Angeles Los Angeles, CA | Financial Engineering | FT | 1 year |
12 | Rutgers University New Brunswick, NJ | Mathematical Finance | FT/PT | 1.5 years |
12 | University of Chicago Chicago, IL | Financial Mathematics | FT/PT | 1 year |
14 | Georgia Institute of Technology Atlanta, GA | Quantitative and Computational Finance | FT/PT | 1.5 years |
14 | University of Toronto Toronto, Canada | Mathematical Finance | FT | 1 year |
16 | University of Michigan Ann Arbor, MI | Financial Engineering | FT | 1.5 years |
17 | Boston University Boston, MA | Mathematical Finance | FT/PT | 1.5 years |
17 | NYU-Poly Brooklyn, NY | Financial Engineering | FT/PT | 1.5 years |
19 | North Carolina State University Raleigh, NC | Financial Mathematics | FT/PT | 2 years |
20 | Claremont Graduate University Claremont, CA | Financial Engineering | FT/PT | 1.5 years |
21 | Illinois Institute of Technology Chicago, IL | Mathematical Finance | FT/PT | 2 years |
22 | Kent State University Kent, OH | Financial Engineering | FT | 1 year |
2011 MFE Programs Rankings Methodology:
Employer Survey Score (25%)
From August to early September 2011, Quantnet surveyed hiring managers and corporate recruiters representing a wide range of quantitative groups across financial institutions in US, UK and Asia to indentify which of the 22 programs in the 2011 ranking whose graduates they have interviewed or hired from within the last three years.
Placement Success (50%)
- Starting Salary (20%) The average starting salaries of the most recent graduated cohort were normalized by mean and standard deviation and separated into quintiles, with each quantile being awarded points from 20 to 100 in increments of 20 points.
- Employment Rate at Graduation (10%) The employment rates were separated into five different groups, each group being awarded points from 20 to 100 in increments of 20.
- Employment Rate Three Months after Graduation (15%) The employment rates were separated into five different groups, each group being awarded points from 20 to 100 in increments of 20.
- Students/Administrator Ratio (5%) The Class Size was divided by the number of administrators supporting the students; the ratios were normalized by mean and standard deviation and separated into quintiles, with each quantile being awarded points from 20 to 100 in increments of 20.
Student selectivity (25%)
- GRE Scores (10%) The average GRE Quant scores of the admitted students were separated into five different groups, each group being awarded points from 20 to 100 in increments of 20.
- Undergraduate GPA (5%) The average GPAs of the admitted students were separated into five different groups, each group being awarded points from 20 to 100 in increments of 20.
- Acceptance Rate (10%) The scores were separated into five different groups, each group being awarded points from 20 to 100 in increments of 20.
Overall score/rank
A score for each program is accumulated from the points in each category multiplied by the category’s assigned weighted average.
没有评论:
发表评论