How good is Stony Brook QF program?

Hi, I am an undergraduate Economics major student at a top school in my country and looking to apply for MS + PhD program at Stony Brook in their Quantitative Finance track. I went through their website and at first it looked like quite a good program to me. But after trying to look for more information about it, unfortunately, there were not a lot of good things I ended up reading on other forums and sites like Wall Street Oasis.

Nevertheless, I still want to give it a benefit of doubt because the posts I came across were quite old. There are a couple of things which make me think that it would be the right choice.

1. First of all, it is located in NY and just 1.5-2 hours from NYC. A lot of people I have come across have told me that this will always be an advantage when it comes to attending workshops and appearing for interviews.
2. Secondly, they've some really good faculty out there. For example, Robert Frey - former MD of the mysterious Renaissance Technologies, Stan Uryasev - the guy who coinvented CVaR (Conditional Value at Risk), Haipeng Xing - co-author of a famous financial statistics book and so on.
3. Thirdly, I haven't come across any other university offering a PhD program in Quantitative Finance. Their program looks very unique and seems to be tailor-made for the quant industry.

That said, there also are things that make me sceptical and think twice about the program.

1. The first red flag is their employment statistics. They are given here. What do they mean by "Sample List"? Also, why have they not mentioned their yearly employment statistics? What percentage of graduates find employment at the time of graduation, three months after graduation, 6 months after graduation? What companies employed their graduates year-wise?
2. Do people on the Wall Street even know them? From what I've heard, a lot of hedge funds have their respective target-schools and do most of their hiring from there. If SB is not a target school, is it worth spending 5 years here?
3. There is not a lot of information available about their program apart from what they've mentioned on their website. I hardly found 5-6 people in the trackers on quant net. Why is it so? Where are all the people applying for the program? I also tried to find graduates of this program on LinkedIn and to my surprise, not a lot of them appeared in the search results.

No offense to the program but that is how I am feeling about it right now. It would really help if someone can answer my questions or even help me in deciding if I apply for this school next year or not. Other schools I have shortlisted are QCF @ Georgia Tech, Mathematics in Finance @ NYU, Financial Mathematics @ University of Chicago, Financial Mathematics @ North Carolina. But all these are Masters program and I am looking for a PhD program too! Yes, there are others like ORFE Princeton and IEOR Columbia but realistically speaking, I won't be able to make it there. Hence, I am keeping an option as SB.
If you are fully funded by SBU, it is definitely worthy; however it's very competititve (Most funded PhDs come from US top 20 or the very top schools from China and they all come from math/stat background) and since you are econ major, it is unlikely for you to get scholarship. Most PhDs got good jobs here, you can check linkedin or each Professor's research group which has list the placement of their own supervised students in the past years. Many do end up working at investment banks, hedge funds, and tech firms like apple, google, amazon, facebook. You can also consider do the PhD with either statsitics or computational applied math track which has even stronger placement record for Wall Street jobs.

As for the QF at ms level, ms and PhD students take the same class and have the same assignment and same level of exam papers. The QF program alone is
not so resourceful due to low budget (You get what you paid for) but students can take courses in other tracks: statsitics, operation research, computational applied math.

The QF at SBU is in fact more rigorous than other programs (SBU is more theoretical-oriented while other MFE programs are the terminal degrees and career-oriented) and more flexible in terms of curriculum. It is a good springboard for PhD programs elsewhere. There are people who later got into many top PhD (Stanford, UCLA, Carnegie Mellon, UC Irvine, HKUST, etc) programs from not just QF but other tracks at the MS level.
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.