there is nothing to hide but trying to present the placement stats in the best way possible
I am a student in Gatech QCF, the graduation date of 2019 Fall is just last weekend, everything changes day by day, I know someone who planed to study PHD suddenly get a job, it's understandable that the data is different from the data reported to Quantnet. I guess for the data to Quantnet, it might be the students of 2018, otherwise how do they calculate 3 month after graduation? And for some other programs(CMU MSCF), they are still doing finals and haven't not graduate yet.Very much so.
great way of putting it.
115k on the website is average TOTAL compensation, i.e. including bonus. The salaries in the rankings are BASE salary, plus signing bonus.
yes, that's what I mean. average total comp should include a first year year-end bonus, i.e total comp = base + signing bonus + year-end bonusyou mean (average total comp) vs ( avg base + avg sign-on)
But aren't they both same? even if we assume some people don't get bonuses then actually the ( avg base + avg sign-on) which is quoted by quantnet should be higher than the average total comp clearly!
I joined gatech in 2019 fall and I am doing dual master degree in two years in gatech too, CSE+QCF, which enhance my understanding of models and programing implementation, and this fall semester, me and more than half of our chinese students got internship(We get internship in the first semester), some in Barclay, some in Bank of America, other in funds and financial services companies. I got two offers from two funds and have to make decisions.There are some pros to NYU Tandon as well.
You get a lot of flexibility in courses there are like zillions of courses in different concentrations.
In 2 years you can do the internship twice and can continue the internship over the last semester as part-time due to being very close to companies.
although working full time after graduating in 1.5 years is an even better deal
some Courses taught by practitioners might help in getting an industry perspective.
although cohort size is big class size is small as said by peter carr.
Computational science and engineering, I believe this is the best combination with Financial Engineering, CS is another way.is CSE computer science or computational science and engineering?
Dont be so sure about that quant is not all data science though.this might be very ambitious but are there plans to branch out to masters programs in general for getting into the quant industry? mfe or not mfe. like i’m sure a data science degree at say NYU or harvard or a ms stats at uchicago or ms cs at stanford will carry similar if not more and perhaps a lot more weight
This is a tricky one Boston ranking is falling hard along with its program's reputation and Rutger's program is improving.Hello! Can anyone tell me which is better between MMF of Boston University and MQF of Rutgers University? I will try to get an internship in NY or Boston. Which one is easier to find a job?