Can you tell us a bit about your background?
Some financial experience, but not a lot.
Did you get admitted to other programs?
Only applied to one other masters program, and got rejected.
Why did you choose this program (over others, if applicable)?
Initially, professors like Rubinstein and Longstaff made the program attractive. Longstaff left, therefore so much for that. I had studied Rubinstein's model before and was quite intrigued by the guy, But the decision was mostly made because it's a one year program and I knew ex-ante that the quality of incoming students is very high. Location was also a consideration.
I studied full-time in the program from 3/2009-3/2010
Tell us about the application process at this program
Quite disorganized. Many of my classmates found out they were accepted only one or two weeks before starting. Very expensive entry fee and security deposit.
Does this program have refresher courses for incoming students? How useful was it?
C++ was too fast and almost never used during the masters (MatLab used for almost all classes). Perhaps it should be offered at the end, given that most jobs do require C++
Math refresher was excellent, very practical. Well worth the money. I took the course remotely and had no problem following the material.
Statistics course overlapped a lot with Math course. Of the three, it's the one you could do without.
Tell us about the courses selection in this program. Any special courses you like?
No one can beat Rubinstein to teach you about derivatives. He is an old-school teacher who cares more about the intuition than the math (the way it should be, in my opinion). You are learning from the guy who developed CRR, he knows the topic inside and out and can respond to any question you may have.
Electives are not many, but remember, this is a one-year program and a there is no time to diversify a lot.
Credit Risk Modeling was very practical. I thought it was a useless course until I found myself impressing my internship colleagues with cute little bits of information.
There is no course on commodity trading, which is a shame, and this year's High Frequency Trading seminar looks like a fast and somewhat slapdash attempt to catch up with the times.
Tell us about the quality of teaching
There is a high variance in the quality of teaching. Besides the in-house teachers, who are very good, there are others that are brought in from the private sector to complement the program with a practitioner point of view. This is where the variance originates.
BlackRock is the largest sell-side firm in the area; thus they provide many of the private-sector professors. Most of them are very good (Melvin, Grinold are gurus of their field), some of them do lack on experience as teachers and were easily intimidated by some of our more incisive classmates.
BTW, the caliber of the cohort is quite high; some of my classmates are attack dogs that smell fear on professors and prey on them without any prejudice. Suits them well.
As I mentioned before, the in-house professors (Haas faculty) are top-notch: Wallace, Leland, O'Brien, Stanton. Just look at their CVs. Leland goes through dynamic asset management with authority. You expect, at a minimum, that teachers are confident at what they teach, even if it's boring or irrelevant. There is no shortage of confidence here.
Materials used in the program
I'm too lazy to write the list. Two things stand out: Hull is not used, and Wilmott's books are only suggested readings (I loved the Wilmott book, and thought that I would be the best in class just because I read it before starting the program).
Most professors bring their own stuff. As with all teaching materials, some of it is very good, some of it is useless. No different from any other place.
Programming component of the program
You make it as programming intensive as you want. If you are into the heavy programming, there is no shortage of projects, classes (Advanced Quantitative Methods) to knock yourself out. At the very least, you leave the program knowing Matlab very well.
Other languages, such as SAS and R are allowed but no one really uses them. Matlab seems to be the current lingua prima of financial analysis (not financial development, that is C++) .
Projects
Most are group projects, except for one final project (graduation requirement) that has to be undertaken alone.
Career service
So everyone wants a job in Wall Street. We are not Ph.D students here looking for tenure. And you WILL get a job after this program. Yes, there is this obnoxious fetish for jobs that permeates the MFE office and students, which forces us to do stupid mock interviews, re-do resumes n times and apply to jobs with 2-hour deadlines. This environment easily makes people jealous of others who seem to get more interviews than you, because the office is very open in letting you know who is getting what.
But I guess that is a small price to pay for having access to what is perhaps the best career service in the business. I am not overstating this, the placement office works day and night trying to place you, no matter how bad you are interviewing.
At the end of the 3rd quarter, people who wanted internships had internships, and people who didn't want internships simply stopped interviewing.
I am not in the top quartile of my class; with luck I close to the median. And still I have interviewed with about quite a few number firms, including two large American banks (yes, that one that starts with a G and ends with an s, for those of you who want to work there) and several well-known European banks.
The program opens the doors; it's up to you to get in.
If your priority is learning above placement, I guess you have other options: go for the Ph.D or go for a more theoretical masters program.
Can you comment on the social interaction between students of different ethnics, nationalities in the program?
More than the nationality or ethnicity, the relevant variable here is age. We have classmates who are as young as 24 and as old as 40, so groups seem to form around age groups. Ethnicity or nationality seem not to be a problem inside or outside the classroom.
What do you like about the program?
I always felt quite smart wherever I went. I don't anymore. The ability of my classmates to find insightful questions where I thought that certainty was complete is just amazing. More than anything, it's the quality of the cohorts year after year that makes this program special. Of course, that also means egos run a muck. But in finance that is the rule, not the exception.
Access to Bloomberg is easy, the computing facilities are top-notch and libraries have all necessary material.
Many graduates decide to forgo the New York life after experiencing the Bay Area. I don't blame them.
It's a one-year program, so at the end, your student loan debt will be much lower than an equivalent two-year program.
What DON’T you like about the program?
It's a one-year program. You are supposed to learn all about fixed income in two-and-a-half months. Same with derivatives, credit, mortgages, and so on. It feels not like drinking water from a hose, but rather like drinking champagne from an open hydrant. You wonder if perhaps it wouldn't be better to take it easier and go a bit slower on the subjects. You use your weekends and holidays here to study, and still, you feel like you missed a lot of stuff.
Suggestions for the program to make it better
I don't like the March starting date. It's rainy and most companies do their hiring for the end of the summer, so you feel you are always either too early or too late. And yet most companies come to Berkeley despite the wacky schedule, so they probably trust the program so much that they are willing to hire off-season.
What are your current job status? What are you looking for?
Have a job offer, a good one that I prefer to not to disclose. But I am still interviewing.
Other comments
Weather in California provides more utility units than any option in the Northeast, especially this time of the year. Living in Berkeley is an experience that everyone should try.