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.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.
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.