The goal of the admission process is to identify those candidates who are well prepared and motivated to suceed in our program. Each applicant is carefully considered on the basis of academic performance, work history, quantitative skills, recommendations, test scores, motivation, and potential.
The collective class profile reflects a group of people with comparable levels of quantitative experience, but with varied skills and experiences. Many in the class will have advanced degrees and have international backgrounds. The UCLA Anderson MFE Program requires the full participation of each student in both class attendance and assigned work. Coursework will include a mix of individual work and group assignments.
The MFE degree at UCLA Anderson is a 13.5 month full-time program. The program begins in November and is not available part-time. Applications are available online only. Students are admitted to begin the MFE Program in November only.
|Application Completion 2015 Deadline||Decision Released By|
|January 31, 2015||March 31, 2015|
|March 31, 2015||May 31, 2015|
|May 31, 2015||June 30, 2015|
The MFE Admissions Committee considers a number of factors in selecting candidates for the program.
All candidates must demonstrate:
· Ability to do graduate-level business and finance course work
· Capabilities that will contribute to the overall educational process of the class
· Experience in computational programming (for example, C++) and familiarity with computers as a computational and management tool
· Strong quantitative background including coursework in:
o linear algebra
o multivariate calculus
o differential equations
o numerical methods
o advanced statistics and probability, which includes the following topics: discrete distributions, continuous distributions, density functions, sampling theory, statistical inference, hypothesis testing, ordinary least squares, t-statistics, sampling vs. population moments, chi-square goodness of fit tests, etc.
· Excellent writing, speaking, and presentation ability in English
· Experience with mathematical tools (for example, Matlab)
· Work or research experience in a quantitative discipline is recommended, but not required. Exceptional undergraduates with strong quantitative backgrounds are encouraged to apply. Bachelor degrees must be conferred prior to the November MFE Program start date.
· Experience with statistical and econometric applications (for example, SAS) is recommended