• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

How good is Stony Brook QF program?

Few things I wanted to point out as a final year grad student in the Quant Finance Program at Stony Brook University

1. The course structure has been updated last year itself and since you are just 1 week into the program I wonder how you are able to come to a conclusion that the course structure hasn't been updated in years. The first semester courses are pretty much same for all different tracks in Applied Math (Linear Algebra/Calculus/Data Analysis) which helps to revise the basics (if you are not from Math/Statistics background) and as you enter into your second sem onwards, the courses are more track specific and honestly these courses are extensive like Stochastic Calculus/ Case Studies in Computational Finance/Quant Risk Management/ML in finance and it's always good to have some coding experience because these courses are all heavy Math+ Finance+ coding based [For QF track]

2. Talking about seminars, please go through this link : Seminars | Applied Mathematics & Statistics & Quantitative Finance Program Webinars. We have regular weekly seminars which you probably have received emails about and if you attend any of them you will get to know the varied topics covered in these seminars. Moreover the department covers the cost for top performing students to attend the yearly ARPM Quant Bootcamp (if you are eager to become a quant in future)

3. Also, there are highly skilled professors in the QF department covering extensive courses like Professor Stanislav Uryasev's Advanced Stochastic Models and Portfolio Optimization, Prof. Pawel Polak's Machine Learning in finance, Prof. Andrew Mullhaupt's Computational Finance, Prof. Robert Frey and Prof. Haipeng Xing's courses they are all project based and personally the courses have helped me tremendously to prepare for industry interviews. Plus, the best part os AMS dept. is there are 5 different tracks and you can also pursue an advanced certificate in data science as an example.

4. Talking about industry internships & jobs, I wonder how did you get this specific number that only 4 students received internship. First of all, quant positions are very competitive in nature but very lucrative. It's unfair to compare with CS department where the total batch of students is 400+. Bagging an internship is 90% dependent on your skill and the way you communicate. I was a part of the internship drive and, as far as what I have seen people did get multiple interview opportunities from top IBs (which means companies do not segregate if you are from Ivy league or not) but finally getting the job is dependent on your skillsets and convincing the interviewer that you are fit for the role. People from my batch who were looking for summer internships did get some or the other opportunity and people who did not probably were looking for PHD opportunities or their way of preparation was wrong. And, to crack a Quant Role you need to be diligent and be good at coding & Math and if you have some previous work experience in this field then that's awesome. My friends at Columbia and NYU were all in same boat during internship hunt and since their batch size is huge you probably don't get to know their struggles. And just to add, the QF courses and projects have actually helped me to grab a full time quant role at one of the top 3 Investment Bank. So, it's good to get a whole perspective before posting such comments.

Moreover, contact your seniors and professors (sometimes professors recommend you to companies since they have strong industry ties) and QF program is extensive and you need to work really hard since becoming a quant is not easy and if you have decided to pursue this field then there is no shortcut unfortunately. Also, once again companies do not segregate between universities. If you are not getting the opportunity then that's probably because you need to work on your resume or skills or your approach is not the right way.
Unfortunately, I do not have a coding background and I am working hard on my coding skills, but it doesn't change the fact that majority of the batch is not able to land an internship and do odd on-campus jobs during the summer.
The industry experience of the professors is a sham. For example, Prof. Frey takes his lectures on Mathematica which is an obsolete software and has no use outside the campus premises, telling the students to submit their assignments on that software is basically shoving it down their throats. The department is highly underfunded and if you are a planning to pursue your PHD, your funding might get taken away mid program.
There is a reason why there are no employment statistics published on their website. I would recommend all the aspirants to do their research on LinkedIn to see where the students work, how they work or if they work. Prof. Stan Uryasev himself said that only 4 students in the entire batch landed an internship and none of them was quant profile, even if it was it was probably in a mid-tier start up.
Very few of the guest lecturers in the seminars mentioned by @kayd were industry professionals.
If you can afford a good college, go for it as SBU won't help your career and I won't recommend you to spend your life savings coming to this college.
 
Unfortunately, I do not have a coding background and I am working hard on my coding skills, but it doesn't change the fact that majority of the batch is not able to land an internship and do odd on-campus jobs during the summer.
The industry experience of the professors is a sham. For example, Prof. Frey takes his lectures on Mathematica which is an obsolete software and has no use outside the campus premises, telling the students to submit their assignments on that software is basically shoving it down their throats. The department is highly underfunded and if you are a planning to pursue your PHD, your funding might get taken away mid program.
There is a reason why there are no employment statistics published on their website. I would recommend all the aspirants to do their research on LinkedIn to see where the students work, how they work or if they work. Prof. Stan Uryasev himself said that only 4 students in the entire batch landed an internship and none of them was quant profile, even if it was it was probably in a mid-tier start up.
Very few of the guest lecturers in the seminars mentioned by @kayd were industry professionals.
If you can afford a good college, go for it as SBU won't help your career and I won't recommend you to spend your life savings coming to this college.
I am sorry to hear that you are not initially fond of your SBU experience. Here are some things to think about:
1. You have been in the graduate program for under two months - give it some time to adjust.
2. The employment statistics you are citing are misleading (I can personally guarantee they are wrong) - either the professor is out of the loop or they were misinterpreted.
3. There is a huge difference between academia and industry. Both define success differently, therefore have different motivations. That being said, the SBU program has professors with interesting industry insights. Being this is your first semester, your classes are more general and less related to quant finance. This will change over the next few semesters.
4. This should be obvious, but maybe this needs to be said. Getting into a grad program does not come with a guarantee of job prospects. It is up to the individual to do the leg work. Maybe I am wrong, but I would doubt other programs on this list are handing students internships/jobs.

If you have concerns about the program, talk to the professors or the graduate coordinators (they are very helpful and may fill in the gaps). Please refrain from bombarding this forum with your opinion on the program, or at least, wait until you have had enough time and exposure to properly experience it.

SBU has a lot of opportunities to offer, I would browse and find what you are interested in. Don't hesitate to reach out to professors or further along students - we would be happy to provide insights/suggestions. I hope you heed some of this advise and take advantage of what the program has to offer!
 
I am sorry to hear that you are not initially fond of your SBU experience. Here are some things to think about:
1. You have been in the graduate program for under two months - give it some time to adjust.
2. The employment statistics you are citing are misleading (I can personally guarantee they are wrong) - either the professor is out of the loop or they were misinterpreted.
3. There is a huge difference between academia and industry. Both define success differently, therefore have different motivations. That being said, the SBU program has professors with interesting industry insights. Being this is your first semester, your classes are more general and less related to quant finance. This will change over the next few semesters.
4. This should be obvious, but maybe this needs to be said. Getting into a grad program does not come with a guarantee of job prospects. It is up to the individual to do the leg work. Maybe I am wrong, but I would doubt other programs on this list are handing students internships/jobs.

If you have concerns about the program, talk to the professors or the graduate coordinators (they are very helpful and may fill in the gaps). Please refrain from bombarding this forum with your opinion on the program, or at least, wait until you have had enough time and exposure to properly experience it.

SBU has a lot of opportunities to offer, I would browse and find what you are interested in. Don't hesitate to reach out to professors or further along students - we would be happy to provide insights/suggestions. I hope you heed some of this advise and take univeadvantage of what the program has to offer!
I maybe wrong about the program because of my lack of exposure but I am certainly right about the employment statistics that I mentioned here. I asked for the official numbers, and they were bad. Plus the numbers also can't be believable because the department said that they did not conduct the survey for the missing employment stats (imagine math department not conducting a survey). Its been half a semester and I have not written a single line of code in class. I was terrible at coding a few months ago and still found the bootcamp useless. The faculty is unavailable most of the time and do not respond to queries ( how to learn coding or what to learn, which resources to use etc.) instead they make me solve problems on Mathematica. Other universities may not be handing out job/internship opportunities but they offer a lot of flexibility in selecting courses aligned to their career goals which I clearly don't see here. The program is very rigid and you can't take courses of your own choice. I find it counter productive as it keeps me involved in their subjects and prevents me from acquiring any industry related skillsets. I can tolerate this course if professors/seniors can give me a roadmap to land an internship or a job.
More than the course, I find the unavailability of the professors/seniors/alumni damning.
I don't want to argue any more on this topic. I respect every opinion about this University and my opinion hasn't changed till now.
I urge everyone reading this to form their own opinion by going through LinkedIn profiles, asking the department directly for the statistics (if they care enough to conduct a survey) etc.
 
I maybe wrong about the program because of my lack of exposure but I am certainly right about the employment statistics that I mentioned here. I asked for the official numbers, and they were bad. Plus the numbers also can't be believable because the department said that they did not conduct the survey for the missing employment stats (imagine math department not conducting a survey).

Your arguments and the counter-arguments by other Stony Brook students or alums seem valid, depending on the vantage point. However, the publicly available information on QuantNet's Ranking is telling, and I find the employment statistics an outlier.

Its been half a semester and I have not written a single line of code in class. I was terrible at coding a few months ago and still found the bootcamp useless. The faculty is unavailable most of the time and do not respond to queries ( how to learn coding or what to learn, which resources to use etc.) instead they make me solve problems on Mathematica.

It seems to me that your programming skills have improved compared to a few months ago, and I think that's laudable. Following what you've said, I think the best solution is to focus on personal development if you want to land an internship or get a job after graduation.

To learn how to code: Be passionate, disciplined, and consistent. Learning how to code is more of a journey than a destination.

What to learn: In Quantitative Finance, the most used programming languages are Python and C++. If you aim for an internship in the summer of 2023, you can pick any of these programming languages and start learning.
Tip - It's easier to learn Python than C++.

Which resources to use:
For Python:
  1. Youtube tutorial on Python for Beginners by freeCodeCamp
  2. Introduction to Python Programming by UDACITY
For C++:
  1. Youtube tutorial on C++ for Beginners by freeCodeCamp
  2. C++ Programming for Financial Engineering

Other universities may not be handing out job/internship opportunities but they offer a lot of flexibility in selecting courses aligned to their career goals which I clearly don't see here. The program is very rigid and you can't take courses of your own choice. I find it counter productive as it keeps me involved in their subjects and prevents me from acquiring any industry related skillsets. I can tolerate this course if professors/seniors can give me a roadmap to land an internship or a job.

I think landing an internship in quantitative finance is arduous because of the high standards, extreme competition, and an excess pool of talented individuals. However, it's not impossible.

Here's a roadmap I think may help land an internship for the summer or a full-time job:
  1. Networking: You can land an internship by attending conferences and building relationships with people already in the industry. An excellent example is an annual conference organized by the CFA (Chartered Financial Analyst) Society of New York and the SQA (Society of Quantitative Analysts). The attendees are professionals in academia and the industry. Tip - The annual conference takes place in January of each year.
  2. Referrals: If you know anyone working at a quant firm that interests you, you can approach them and kindly ask for a referral when applying. Referrals can go a long way.
  3. Use Glassdoor or Indeed to get an update on quantitative analyst intern job openings and apply. Good Luck!
 
I am currently at SBU in QF (masters) and I am happy with my choice. First off, I saved a fortune. Not sure if people in the industry know SBU, but also not sure if they care. Academics love over emphasizing the school name, it is how they make money. The reality is, most of the employers out there do not care too much about where you went to school.

AMS QF is definitely less terminal than other MFE degrees, which I like. I picked this option because I was initially unsure about pursuing a career in quant. I wanted a degree that left other doors open to me (data science/tech/research).

The coursework is actually pretty rough, you will either learn a lot or fail. If you like a challenge, this may be a good pick.

I have gotten pretty strong opportunities at SBU. I worked a HPC student assistantship last semester (was even offered a full time job), performed school funded research, and landed a quant internship at a hedge fund for the spring/summer. Last semester, the QF students received roughly 5-8 emails from employers looking to fill quant internships exclusively from the SBU QF students.

There is a lot of flexibility in the AMS program, which is attractive. To note, some of those other programs you listed are on the tier above SBU. So if you can afford those and get an offer, I would go.

Stay away from forums and make the decision yourself. A lot of people who comment on here are in the same position you are. It is the blind leading the blind. Is SBU the best school for you? The internet does not have that answer. Rank your offer letters by cost, coursework, potential opportunities, etc and pick the top one on the list.
The opinion posted by @jarryds and @kayd here is quite misleading and full of lies.
1. The AMS program has 0 flexibility ( Even the coordinators and the professors accept it). For example, No course is available for both Fall and Spring semesters which means that you will have to stick to the courses in the sequence recommended on the website. You can't drop courses you don't like and you can't even do any extra course without paying any extra money.
2. Only 3-4 Students to my knowledge have an internship and that internship is definitely not in a hedge fund. ( Let alone everyone receiving 5-8 job offers). I know graduates who have been deported to their home countries and seniors paying extra money to extend their stay to avoid deportation.
3. Few "Billionaires" have questionable competence when it comes to teaching as they only focus on platforms like Mathematica. They don't care enough to conduct in-person lectures and are very inaccessible. You have to get to 100s of people for 1 message to go through.
4. The department is heavily underfunded ( I don't know if they make any money let alone academics emphasizing on it's name and everything). If you are planning a Phd here, your funding may get taken away mid program and the stipend you'll receive will be barely enough to survive let alone eating healthy food or living in a clean apartment.
5. I personally do not want to work at a hedge fund, I want to work at a respectable Investment Bank and have a steadier life but one of the professors told me that like regular courses which offer you opportunities to be skillful for roles like a Credit Analyst, Investment Banker, Financial Analyst etc., this course fails to do so. Let Alone getting an opportunity as a Data Scientist.
6. You don't save a fortune after choosing this university as in regular universities, most people get TA/RA opportunities to offset their living expenses but here even Phd students do 2-3 jobs for one low stipend let alone a masters student getting paid.
7. As an international student, I feel insulted at the career fairs organized by the University as very few companies give F1 Visa sponsorships and there the competition increases even more.
8. Hedge Funds do segregate on the basis of Universities for example, Renaissance Technologies which one of our Faculties is an MD in, doesn't hire people from AMS. Imagine not being able to make your students competent enough to work for your own company in 3 semesters.
9. They don't post the employment statistics because they have nothing to show. Imagine being a Statistics department and not conducting a survey!!
In conclusion, I would like to request people to do their own research in choosing the university and don't make the same mistakes like I did as getting transferred later becomes difficult because even if you are accepted to a good college, they either wont take you in spring or won't transfer enough credits.
Thank you
 
Unless you are already making $300k per year or more, it is worth it.

I am doing MS-Quant Finance at Stony Brook. I chose it because it is the most focused on applied finance to trading. I have had the former head of Equity Trading at Renaissance Technologies for 2 courses. He donated the building we use. Obviously made 100s of millions $. Another professor, was head of research for SAC Capital. He is outstanding in area of high frequency trading.

Stony Brook is math first, then everything else layered upon those skills. The math content is endless in each course. You are not expected to master it all, but you will be exposed to it and it is up to you what you want to deep dive into. The finance, computer science, operations research, programming is layered in lesson plans. A number of current PhD students are getting heavy into research in machine learning, large language models and AI applications in quant finance.

You take 12 courses, 2 elective and 10 standard curriculum.

Quantitative Finance

AMS 507 Introduction to Probability

AMS 510 Analytical Methods for Applied Mathematics and Statistics (Essentially multivariate calculus, differential equations, linear algebra). A review for most students, but still have to go through it, but your skills build up and learn some new things. For PhD, after your first year, you sit for examination of Probability and Analytical Methods. The exam is difficult. They give you previous exams, but the level of performance on it must be stellar and a high A to A+ grade to move on in the PhD, so a lot of stress.

AMS 511 Foundations of Quantitative Finance - Great course.

AMS 512 Capital Markets & Portfolio Theory - Great course

AMS 513 Financial Derivatives and Stochastic Calculus - foundational for options, futures, mostly theory, math, then applied finance applications.

AMS 514 Computational Finance - Hard. Big jump to world of trading and large data sets.

AMS 516 Statistical Methods in Finance - Builds upon 572 data analysis and 514 computational finance. All types of statistics, essentially near equivalent of an Economics PHD 2 course sequence in econometrics. Pretty much everything Campbell/Lo book The Econometrics of Financial Markets and some other source books in advanced statistics.

AMS 517 Quantitative Risk Management - foundational. For those who will end up in risk management.

AMS 518 Advanced Stochastic Models, Risk Assessment & Portfolio Optimization - High quality course.

AMS 572 Data Analysis I - Foundational.


I made my money on Wall Street before coming here. I came because of 2 or 3 professors I wanted to study under. I have been away from high level math for almost 30 years. MBA and career in private equity. My intended goal was to trade my own money or possibly open a small hedge fund.

Nothing is guaranteed, but I can tell you some of the guys and a few ladies have started out at over $300k lately. They are superstars, mostly Chinese, one guy had PhD in pure mathematics and got a 2nd PhD in Applied Mathematics/Quantitative Finance.

My current GA who is helping to teach a class is going to be a future superstar most likely in research. 4.0 undergrad at U of Illinois. 4.0 in MS--Quant Finance at Stony Brook. 1st year PhD student now. His area is machine learning in trading applications. He is pretty darn amazing.

Every program has their elites. Then the rest of us who work hard to keep up. I have learned a lot. Very happy with Stony Brook. It is a good program.

Yes, they are a little lazy about updating their website and providing data to the rankings. They are not concerned about it. The vast majority of the 30 or so students accepted each year are NY residents and we choose it because it is about 25% the cost of NYU or Columbia and you still get the jobs in the metro NYC market. The other 25% of students are primarily from China and India. They are hypercompetitive because they want to get hired and extend their stay in the US and make serious money.

No matter where you go in Top 30 programs, you will have serious work to do and serious amount of projects to complete. You for sure will be employable when you finish. Your skill sets you were weak in, for me, programming, will get much better. The core stills of applied finance, model building and applied mathematics will be stellar from almost any of the Top 20 programs.

There are only about 1500 students accepted nationwide in US each year. 1000 will be in the competitive NYC metro market. If you compete hard and are in the top 50% of your class, there is way more than 500 jobs per year out there waiting to be filled. The fad now in 2024 is weighted heavy toward analytics and machine learning. Getting into the Top Hedge funds is hard. I have sent in good applications. They will call your professors they know and ask is he a 1%, have they published a meaningful academic paper. If you are not, you will get a fast rejection.

To be elite in NYC market means being a rarity. You have to be the best of the best to get into elite hedge funds. I have gotten interviews. I have not been hired. Not a concern to me, but I just throw my name out there to see if anyone would be interested.

I am an anomaly because I entered program at age 56. My goal if I can keep up is to proceed onto the PhD portion. PhD portion after the competency exams does not require additional coursework. You are thrown into at least 2 years of research and 1-2 years of writing your dissertation while being a graduate assistant for one of the professors.

Since I am already retired, my goal was to land somewhere as a research professor and run a small hedge fund. Keep working into my 80s or so. I did not like retirement. I like being engaged in thought, producing profits and developing the younger generation.

Go for it. Quant finance is and will always be interesting. It can take you in any direction you want. They know you are smart and talented. However, build your social skills and soft skills in speaking, presentations. In the business world, you have a certain element of selling your firm and selling yourself. You cannot just be the math geek. You have to be the math geek who is personable and approachable.
 
Hey @OldFinaceMan
Thanks for sharing your experience and opinion on the program's strengths/weaknesses. Compared to traditional students joining these programs, you have a pretty unique profile. It was very interesting to read it.
I like the last paragraph, where you stress the importance of presentation skills and how one needs to learn how to sell oneself to move up in this industry.
 
Hey @OldFinaceMan
Thanks for sharing your experience and opinion on the program's strengths/weaknesses. Compared to traditional students joining these programs, you have a pretty unique profile. It was very interesting to read it.
I like the last paragraph, where you stress the importance of presentation skills and how one needs to learn how to sell oneself to move up in this industry.
It goes to show you that Programs and Admissions Committees at some schools are willing to think outside the box. Given who I was in my career, I have enough cache that an Andrew Lo or Leonid Kogan will be kind enough to respond to an email. MIT year in and year out is outward looking. 90% will be foreign and about 50/50 split male female. Many of the non-NYC/Megaopolis programs from DC to Boston are finding it hard to maintain enough demand for seats and are shutting their programs down. Will make the remaining programs even that more competitive to get into. Given my purpose of pretty much wanting to just research and write papers the remainder of my life, there are places for an older student, if the Professors know you are willing to do the work. I had the advantage that I taught quite a bit through the years at "Business Schools" in investments, macroeconomics, international economics, derivatives, finance, international finance and M&A. Making the leap to go all out on quant and my real goal to do theoretical finance caught the attention of a few people at Stony Brook and some other programs. Frey, Stan, Mulhaupt are all a generation older than me, so I don't feel that old. The newer and younger professors (2) are outstanding. I suspect that in coming years, Stony Brook will expand the number of Professors in Quant Finance to around 8 or 9 and bring in some new blood. The upside of Stony Brook is "mathematics" in general. While at the MS level, you will only do 2 electives and you might not be brave enough to dabble in a pure math field or very advanced applied mathematics, there are plenty of opportunities when you are GA/TA PhD student and can take courses. Stony Brook doesn't require additional courses after the 12 from the MS. You just do your 1st year PhD test in probability/statistics and analytical methods in finance. If you fail, you get 2nd attempt to stay in PhD program. If you fail 2nd time, your are out. For year 2, you will be writing a paper than hopefully contributes later into your dissertation. You will do the Princeton Initiative that Bendheim runs for 2nd year PhD students nationally on intersection of quant finance and macroeconomics. So for anyone going down that route, I high suggest you do the U of Chicago, John Cochrane Canvas 2nd year PhD course for free on Asset Pricing because he develops the macroeconomic modeling linking to asset pricing theory. Then your 3rd/4th year hopefully you are doing great joint research with a professor on campus and getting published and completing your PhD. Stony Brook advisors like to try to keep their PhD students longer and publishing yearly, but for those going the academic teaching route, you can get done in 3-4 years and get an Assistant Professorship. The interesting thing about Stony Brook PhD is that you could end up in mathematics department, engineering school, business school or a pure financial engineering program. There are avenues. If you use your time and say get a 2nd masters in Economics, you widen your opportunity for teaching.

Let me conclude. Stony Brook is not a bad place to be. There are very bright people. It is cheaper than living in NYC, but you are only 50 miles away. There is customizable opportunities at PhD level and the MS level course sequence everyone takes whether terminal MS or moving onto PhD. Unfortunately, all the funding is slotted for PhD so it is pay as you go for MS students. The new SPIR Program with State of New York is creating 1 year internships. As most of these are arranged by the professors, the best and first slots are going to PhD students, so not only do they have a fellowship, GA/TA, many of them are in NYC working and drawing as salary for a year. The program asks that 50/50 split between corporate work and academic work. The long-term goal is that ALL MS/PhD students will have opportunity in SPIR and that many financial firms and other firms are proving 1 year of employment paid for all the quant finance cohort. This means that after about 6 courses, you have a good enough base skill set that you can be thrown to the wolves and see how you do. School Year 1, Work/PT School Year 2, Year 3 wrap it up and graduate and for those who want (about 50%) move onto the PhD in Quant Finance and start researching and writing.

If you ever saw mapping trees of PhD School to Assistant Professorship school placement, the choice of your school really matters tremendously. For industry, less so. I taught on 3 continents where my work took me. I taught at elite schools and local good colleges. I have outstanding students from good local colleges go onto being Managing Directors in London. I have had my 1% stellar students go to elite places like MIT, Harvard, LSE for PhD and then struggle to get Assistant Professorships and end up in places like Kean College, but then eventually move on.

The Top 5 for Quant Finance have earned their reputation. You all should apply. However, like in MBA and other fields, the information is generally a commodity. You could learn it all for free from books. For most part, we are all learning mostly the same financial theory from the same original source papers. We learn coding, mathematics, statistics and other maybe some IE/Operations Research. The mix of these skill sets is very useful whether quant finance or doing computational biology and working alongside David Shaw. There is a convergence when you have modeling skills, math skills and programming skills. The information set may change from money to molecules but the analysis is analysis and your have findings.

Thus, pick the school that is right for your for the right reason. Don't want debt, go to a school that either funds you are is inexpensive. Want to be a professor at a Top 10 university, well, you better go to a Top 10 university and write a lot of top tier journal papers as a PhD student. If you want a job on Wall Street, it helps to be near Wall Street and networking. Just aspire to be the best version of yourself and do the hard work consistently for 2-3 years and you will have endless opportunities. Your professors see who is good and put the word out there in their networks. When you interview, these people do this tens if not 100s of times and they know BS to the person who is on point, thoughtful or even resourceful for creating a structure for response to very hard interview questions. Everyone wants the best available, so just create the best you that you aspire to be, whether it is Stony Brook MIT, EPFL, Columbia or wherever.

This is one of the more difficult undertakings in academic Master's programs, but if you are good, there is economic rewards awaiting you down the line. Sometimes immediately, but for sure within 5 to 10 years when you really start to get to apply what you know in the financial world. Good luck to your followers. Encourage them to explore options, apply, and commit to the work ahead.
 
The unique nature of Stony Brook QF program where a mix of MS/PhD students in the same program reminds me very much of Florida State University where they have a very small class (10 students). Some of these will go on the PhD Financial Math program.
They have a large Math PhD program which requires many TA/RA so many of these Master students are given RAship (research assistance). This allows the tuition to be zero or very low for many students.
With this unique structure where the PhD program is the mainstay, they are able to operate with this small class.
 
The unique nature of Stony Brook QF program where a mix of MS/PhD students in the same program reminds me very much of Florida State University where they have a very small class (10 students). Some of these will go on the PhD Financial Math program.
They have a large Math PhD program which requires many TA/RA so many of these Master students are given RAship (research assistance). This allows the tuition to be zero or very low for many students.
With this unique structure where the PhD program is the mainstay, they are able to operate with this small class.
And JAX and Miami are stealing away quite a number of jobs from NYC and soon to be Austin and also Nashville. Stan Urysaev came to Stony Brook after 21 years at U of Florida-Gainesville, but he was in pure nuclear risk management modeling at Brookhaven Labs prior to going into academia, so he was very familiar with Simons, Rentec and Stony Brook. These Southern Quant programs will do pretty well until the New Yorkers realizes there is a life outside of Manhattan and decide to start taking some of these jobs in other cities.

It is important that younger people know that there are reasons and options to consider the PhD route. I never thought after an MBA that I would ever want a PhD. I just wanted to graduate and go make money and help my family. However, by my mid 30s when I taught my first class and that seed of doing something the challenging has always been on the back of my mind. It is better to do a PhD young because of the time commitment and stress. There is definitely enough money in most programs that you will not starve, you'll have university health insurance and some cash in your pocket.

FSU, NC State have become much more competitive in the past 5 years. They will get their share of in-state where it just make economic sense. Trust me, once you start working, nobody cares where you went to school. They only care about the work product and does it lead to revenues and/or profitability.
 
Back
Top