- Joined
- 6/17/08
- Messages
- 6
- Points
- 11
Hi everyone.
I was accepted into Cornell's MPS in Stats program. We are required to select an applied field, mine would be finance. It has a 30 unit requirement and is only two semesters. The program is about 70% electives with a core that requires an "in-dept" team project for a corporation using SAS that will serve as a credential/industrial research project upon graduating. Costs about $35K.
For the project it was recommended that my team simply contact every major financial firm in New York and volunteer to take on a project that said financial firm needs completed. Is this a good idea? What would you recommend we do? We are looking to innovate and implement a new idea (perhaps dealing with large (tera- or peta-scale) datasets).
The large number of electives allows me to take two semesters of Stochastic Calc through the OR&IE dept., 3 courses at the Johnson School of Management (financial accoutning, derivatives, corporate finance), and more applied Stats courses relevant to financial engineering (i.e. time series, stochastic modeling, data mining, etc.).
I am not sure what to think of the program. What do you think? I do not want this program to replace a FE degree but instead hope that it would make me a more competitive applicant to more competitive programs in the future. Would this degree make me a more competitive applicant?
I see the degree from Cornell as a stepping stone that helps me bolster my resume with lots of programming experience in SAS, the project, and some courses at a somewhat reputable bschool, along with the OR&IE dept where I would also be taking classes. Then I plan on working a couple of years in the finance industry and applying to the more competitive programs with work experience and (hopefully) some internships under my belt.
Is attending this program a wise decision? What do you think? Thanks everyone
I was accepted into Cornell's MPS in Stats program. We are required to select an applied field, mine would be finance. It has a 30 unit requirement and is only two semesters. The program is about 70% electives with a core that requires an "in-dept" team project for a corporation using SAS that will serve as a credential/industrial research project upon graduating. Costs about $35K.
For the project it was recommended that my team simply contact every major financial firm in New York and volunteer to take on a project that said financial firm needs completed. Is this a good idea? What would you recommend we do? We are looking to innovate and implement a new idea (perhaps dealing with large (tera- or peta-scale) datasets).
The large number of electives allows me to take two semesters of Stochastic Calc through the OR&IE dept., 3 courses at the Johnson School of Management (financial accoutning, derivatives, corporate finance), and more applied Stats courses relevant to financial engineering (i.e. time series, stochastic modeling, data mining, etc.).
I am not sure what to think of the program. What do you think? I do not want this program to replace a FE degree but instead hope that it would make me a more competitive applicant to more competitive programs in the future. Would this degree make me a more competitive applicant?
I see the degree from Cornell as a stepping stone that helps me bolster my resume with lots of programming experience in SAS, the project, and some courses at a somewhat reputable bschool, along with the OR&IE dept where I would also be taking classes. Then I plan on working a couple of years in the finance industry and applying to the more competitive programs with work experience and (hopefully) some internships under my belt.
Is attending this program a wise decision? What do you think? Thanks everyone