They were invited to be review for the 2022 rankings however I was unable to get a hold of the program. They could be a good program however I don't have any additional info on them. ua-cam.com/video/pBtPTaBY9bQ/v-deo.html
@@DimitriBianco Thanks for the reply! I was accepted into the program and am from the area so I am interested to hear your thoughts on where they rank against other programs. Maybe if I do end up attending I will try convincing them into partaking in your rankings next year. Cheers!
This is a possible path. You'll need to make sure to self study though and network to find job opportunities. Many firms like quants who have an education applied to finance however there are other firms like DE Shaw that just want smart people.
My uni has a quantitative finance program and its actually almost 50% theory 50% math whereas i expected it to be 85% math, wtf lol, this is why im probably gonna do a different quantitative masters instead of quantitative finance
Hey Dmitri, quick question, I am planning on applying for Quant programs this fall and I have been speaking with some of my professors in the field about which programs I should apply to; and none of them seem to have a high regard for UCLA and UC-Berkeley. When I asked which programs to apply too, they didn't even mention them at all. In fact, all of them seem to think that USC is superior to UCLA and Berkeley, which I found surprising. However, on UA-cam, many people seem to think that UCLA and Berkeley are top level programs like Carnegie Mellon. Do you know anything about these programs? Have you heard any bad things about them?
+1 would love to hear your opinion on these. I'd guess that you are going to say it would be better to do the stat masters at UCB or one of the PHD's along with the mathematics masters that you are only aloud to do along with another PHD program, but ya. would love to hear your opinion Dmitri.
I'm hesitant to answer this because it offends many programs however it has to do with rigor. Business schools often focus heavily on how to use financial derivatives in practice but do not go into great depth (stats and math). If the professors come from a business background and the students are coming from a business background how do you teach stochastic calculus? You can teach the general ideas but you will not be able to fully understand what is going on and how to apply this in practice. The students would need to be taught ODE, PDE, linear algebra, and measure theory which would take up another semester or two. The focus on the business school programs are often front office (high compensation) while back office is typically more rigorous but pays less. The compensation metric being used in the rankings is one reason some of these programs are ranked towards the top. Academic rigor is also not included in the current ranking systems. These limitations are one reason I have started my own rankings.
@@DimitriBianco This makes sense. I actually asked one of them the other day; and was told that UCLA's FE program is not aware of his existence, which I think was a jab at this point (as he is, in his words, a "well-known researcher" in FE). He mentioned that he wasn't so familiar with Berkley's program, but that it could possibly be good. Thank you for the insight. I did have one other question, if you have time. Would you say that an understanding of functional analysis is important component of being a qualified financial engineer? I've taken a couple courses in undergrad now in Stochastic Calculus and all the stuff on Cauchy sequences, Hilbert spaces etc. go way over my head.
I have admits from Columbia MathFin, UCLA MFE and UC Berkeley MEng IEOR (Fintech) program . What would you suggest me to go for considering I am open to a career in both data science and quantitative finance ? Any suggestions would be highly appreciated
I would go to Columbia's MathFin program. 1) Location The location of a program matters. If you want to end up in quant finance being in NYC is the best option. If you want to be on the west coast there may be more data science options however there aren't a lot of quant finance jobs over there. 2) Rigor Columbia's MathFin program is known to be very rigorous meaning you will learn a lot. When comparing UCLA to Columbia's program Columbia would be more rigorous. UC Berkeley's IEOR could be a good option but I don't know a lot about that program. Fintech is also very new so finding work with a degree in it might be great or terrible depending on the job market. For fintech jobs, I still look for people with rigorous academic backgrounds. Columbia's program also has a lot of ML and data science electives. If you want to have the quant finance option I would go with Columbia. If being located on the West coast is important then UCLA could be a good fit. It seems more likely to have a quant degree and go into ML or data science than the other way around. Because of this I would go to Columbia instead of Berkeley. Now if you really want to do data science as a job Berkeley could be a good option but it might making going into quant finance more challenging.
Ive heard you say that pursuing a MFE is not worth the opportunity cost sometimes, but in my country I can get it for free, recieve cheaper rent, and get student grants from the govt. Should it be considered a no-brainer to pursue it, in my case? Im a 23 yo finance background with an intrest in math & stats . Cheers
The question is, "how many quant finance jobs are in your country?" Firms rarely if ever hire quants from other countries. A good example of this was a guy I knew who had an MFE from an Eastern European country. He couldn't find work and ended up coming to the US for another MFE so he could find work.
@@DimitriBianco does b. Tech cs and ms mathematics good for quant researcher role from bits pilani india or bs mathematics and scientific computing from IIT kanpur india
I recently got into the Columbia Applied Math MS. We are able to take classes in both cs and fe, would you consider this a decent path towards getting into quantitative finance?
Yes that would be a good path. I would think about what job you want after graduation to help select electives though. You could specialize more towards CS or FE.
hi dimitri! I was just admitted in CMU as an UBA, and i was considering whether the bachelor of science in computational finance could fit the job of quant well and is this program as well as its MSCF?(especially when considering salary)
I don't know too much about the undergrad computational finance program however I have heard some of the people involved in the masters program are helping put together the undergrad program. So I would assume the undergrad program to be fairly good.
@@DimitriBianco thanks for the answer!! and anothe quick question, would bachelor degree be enough for a quant？（cause i saw in your video 2years ago saying that master degree is the basis to get a quant job
They might be included this next year. I would listen to the interviews with Peter Carr as he shares what the program has been doing and how it is structured.
I don't understand this obsession over quant masters on this channel. Most of my quant colleagues in IB and HF haven't graduated with a quant master's (I'm not in the US tho). Any selective master's in engineering/math/statistics is good enough.
This is the main path for quants in the US. Our markets are competitive enough that you would rarely ever see someone with an engineering degree as it doesn't cover the topics required here.
Quant colleagues in IB? I didn’t think there was much overlap there. My understanding is that quant masters would lead to more risk management work (model validation) or derivative pricing rather than traditional modelling.
@@AlexHendershot Is a Mathematics, Statistics and economics undergad and a pure statistics masters adequate enough to get in to quant finance? I keep hearing physics is best then computer science is best. I want to be a quant trader but don’t want to get a MFE as it’s too niche + the likely hood of me becoming specifically a quant trader is low.
@@DimitriBianco Maybe the term "quant" is used differently here in Europe but to me, people working on models (for traders, sales, etc). are quants. Also, people building systematic trading strategies are also quants. Aren't they?
Where would I find the reading lists for the CMU program? Thinking of ultralearning to prep for a MFE - was looking for a roadmap of sorts.
Thanks once again
Thanks for being a part of the channel.
@@DimitriBianco you have a lot to give bro 🙏🏼 thank you
How did you find the textbooks the program uses? I’m looking to self study a bit
What're your thoughts on the University of Minnesota MS in Financial Mathematics? Have you looked at this program at all?
They were invited to be review for the 2022 rankings however I was unable to get a hold of the program. They could be a good program however I don't have any additional info on them.
ua-cam.com/video/pBtPTaBY9bQ/v-deo.html
@@DimitriBianco Thanks for the reply! I was accepted into the program and am from the area so I am interested to hear your thoughts on where they rank against other programs. Maybe if I do end up attending I will try convincing them into partaking in your rankings next year. Cheers!
I'll be doing a mathematical finance masters
Do I need a quant specific degree to go into Quant stuff, can I get away with a Maths masters degree on top of a maths and cs undergrad
This is a possible path. You'll need to make sure to self study though and network to find job opportunities. Many firms like quants who have an education applied to finance however there are other firms like DE Shaw that just want smart people.
My uni has a quantitative finance program and its actually almost 50% theory 50% math whereas i expected it to be 85% math, wtf lol, this is why im probably gonna do a different quantitative masters instead of quantitative finance
Different programs will have different structures depending on what they are focusing on. There are some quant masters that are math heavy/focused.
@@DimitriBianco please mention those programs, I remember you once said that the one in U of Michigan is one of them, heavily Math Focused.
Hey Dmitri, quick question, I am planning on applying for Quant programs this fall and I have been speaking with some of my professors in the field about which programs I should apply to; and none of them seem to have a high regard for UCLA and UC-Berkeley. When I asked which programs to apply too, they didn't even mention them at all. In fact, all of them seem to think that USC is superior to UCLA and Berkeley, which I found surprising. However, on UA-cam, many people seem to think that UCLA and Berkeley are top level programs like Carnegie Mellon. Do you know anything about these programs? Have you heard any bad things about them?
+1 would love to hear your opinion on these. I'd guess that you are going to say it would be better to do the stat masters at UCB or one of the PHD's along with the mathematics masters that you are only aloud to do along with another PHD program, but ya. would love to hear your opinion Dmitri.
I'm hesitant to answer this because it offends many programs however it has to do with rigor. Business schools often focus heavily on how to use financial derivatives in practice but do not go into great depth (stats and math). If the professors come from a business background and the students are coming from a business background how do you teach stochastic calculus? You can teach the general ideas but you will not be able to fully understand what is going on and how to apply this in practice. The students would need to be taught ODE, PDE, linear algebra, and measure theory which would take up another semester or two.
The focus on the business school programs are often front office (high compensation) while back office is typically more rigorous but pays less. The compensation metric being used in the rankings is one reason some of these programs are ranked towards the top. Academic rigor is also not included in the current ranking systems. These limitations are one reason I have started my own rankings.
@@DimitriBianco This makes sense. I actually asked one of them the other day; and was told that UCLA's FE program is not aware of his existence, which I think was a jab at this point (as he is, in his words, a "well-known researcher" in FE). He mentioned that he wasn't so familiar with Berkley's program, but that it could possibly be good.
Thank you for the insight. I did have one other question, if you have time. Would you say that an understanding of functional analysis is important component of being a qualified financial engineer? I've taken a couple courses in undergrad now in Stochastic Calculus and all the stuff on Cauchy sequences, Hilbert spaces etc. go way over my head.
Even got mails from MSCF but really wish I could afford it as an international student. Too much of a risk.😔
where are you from??
@@aashishc5287 India.. Don't want to take a big loan for MSCF
@@jasdeepsinghgrover2470 ohh but which admit you got bhai??
I have admits from Columbia MathFin, UCLA MFE and UC Berkeley MEng IEOR (Fintech) program . What would you suggest me to go for considering I am open to a career in both data science and quantitative finance ? Any suggestions would be highly appreciated
I would go to Columbia's MathFin program.
1) Location
The location of a program matters. If you want to end up in quant finance being in NYC is the best option. If you want to be on the west coast there may be more data science options however there aren't a lot of quant finance jobs over there.
2) Rigor
Columbia's MathFin program is known to be very rigorous meaning you will learn a lot. When comparing UCLA to Columbia's program Columbia would be more rigorous. UC Berkeley's IEOR could be a good option but I don't know a lot about that program. Fintech is also very new so finding work with a degree in it might be great or terrible depending on the job market. For fintech jobs, I still look for people with rigorous academic backgrounds.
Columbia's program also has a lot of ML and data science electives.
If you want to have the quant finance option I would go with Columbia. If being located on the West coast is important then UCLA could be a good fit. It seems more likely to have a quant degree and go into ML or data science than the other way around. Because of this I would go to Columbia instead of Berkeley. Now if you really want to do data science as a job Berkeley could be a good option but it might making going into quant finance more challenging.
Thanks for your advice !!
Ive heard you say that pursuing a MFE is not worth the opportunity cost sometimes, but in my country I can get it for free, recieve cheaper rent, and get student grants from the govt. Should it be considered a no-brainer to pursue it, in my case? Im a 23 yo finance background with an intrest in math & stats . Cheers
The question is, "how many quant finance jobs are in your country?" Firms rarely if ever hire quants from other countries. A good example of this was a guy I knew who had an MFE from an Eastern European country. He couldn't find work and ended up coming to the US for another MFE so he could find work.
@@DimitriBianco does b. Tech cs and ms mathematics good for quant researcher role from bits pilani india or bs mathematics and scientific computing from IIT kanpur india
I recently got into the Columbia Applied Math MS. We are able to take classes in both cs and fe, would you consider this a decent path towards getting into quantitative finance?
Yes that would be a good path. I would think about what job you want after graduation to help select electives though. You could specialize more towards CS or FE.
@@DimitriBianco yes that makes sense. Thank you! (p.s. haven’t been in the loop for a while, but I hope your build of the house went well!)
hi dimitri! I was just admitted in CMU as an UBA, and i was considering whether the bachelor of science in computational finance could fit the job of quant well and is this program as well as its MSCF?(especially when considering salary)
I don't know too much about the undergrad computational finance program however I have heard some of the people involved in the masters program are helping put together the undergrad program. So I would assume the undergrad program to be fairly good.
@@DimitriBianco thanks for the answer!! and anothe quick question, would bachelor degree be enough for a quant？（cause i saw in your video 2years ago saying that master degree is the basis to get a quant job
Can you do a video on NYU tandon?
They might be included this next year. I would listen to the interviews with Peter Carr as he shares what the program has been doing and how it is structured.
ua-cam.com/video/KCz1F24Awy0/v-deo.html
ua-cam.com/video/CGuq11jljko/v-deo.html
Hey Dimitri, how did you find out the books recommended for each course?
The program agreed to be ranked last year and answered a list of questions I sent including the books used.
@@DimitriBianco ty
I don't understand this obsession over quant masters on this channel. Most of my quant colleagues in IB and HF haven't graduated with a quant master's (I'm not in the US tho). Any selective master's in engineering/math/statistics is good enough.
This is the main path for quants in the US. Our markets are competitive enough that you would rarely ever see someone with an engineering degree as it doesn't cover the topics required here.
Quant colleagues in IB? I didn’t think there was much overlap there. My understanding is that quant masters would lead to more risk management work (model validation) or derivative pricing rather than traditional modelling.
@@AlexHendershot I'm guessing IB is being used to describe banking as a general term.
@@AlexHendershot Is a Mathematics, Statistics and economics undergad and a pure statistics masters adequate enough to get in to quant finance? I keep hearing physics is best then computer science is best. I want to be a quant trader but don’t want to get a MFE as it’s too niche + the likely hood of me becoming specifically a quant trader is low.
@@DimitriBianco Maybe the term "quant" is used differently here in Europe but to me, people working on models (for traders, sales, etc). are quants. Also, people building systematic trading strategies are also quants. Aren't they?