This is the third edition of my comment. Try to be more objective.
1. In response to some comments below, I appreciate some of their ideas, which helps me to suggest Peter on how to improve our program.
2. For others, I have to say that any program will never guarantee you any job placement. It’s not like you paid the department 60k USD and a red carpet will appear automatically to lead you to Wall Street. You have to work hard. Some people have already land great jobs in quant or other fields. If you don’t know any of them, then it is your problem. If any jobs other than a quant is not “placement”, then there will be far less employment records in other programs as well.
3. To the so-called “professor”, I wish you can present any evidence, or simple pay us to create “evidence”.
4. To the guy who claimed that many recruiters refuse to take our resumes, please name them, or their companies so you claim will be more compelling, and we can save time avoiding these teams. Please. Please.
True, the department is collecting students’ reviews to bring more changes to the program, but it is not a marketing campaign trying to furnish our reputation. I have sat with Peter and spent a few hours to discuss my experience so far in this program, and how he can improve it.
I’m here to express my own opinion, not to flatter, not to slander. I appreciate what the program has brought to me (quant skills, access to great resources, scholarships, etc.), and I dislike some other aspect (some professors’ accent and attitude, delays in some daily operations). That’s why I’m sharing my experience and giving 4 stars instead of 5, while I know some guys genuinely want to contribute nothing other than 0 stars (but sadly, they can’t give 0).
The program is rising from mediocre, with the help of some talented and determined people. This summer (2017) the incoming students are taking an online boot camp. I’m sure they will be better prepared for internship application and interviews. I’m very happy that in less than a month Peter have put what we have discussed into action. He loves this program.
My thoughts are presented as follows:
What were your favorite courses and instructors?
I regard Prof. Jerzy Pawlowski (R and Algorithmic Portfolio Management), Prof. Tang (Financial Computing and Big Data Analytics), Professor Mandel (Fixed income quant trading) as the best instructors of this program. Be sure not to miss their courses.
What courses are missing?
For courses, I would like to have Python, machine learning course (Peter had a new professor and he will open this course in Fall), maybe deep learning. It will be great if we can organize our students to test strategies on open platforms like Quantopia.
What would you improve in the program?
Some advice from faculty members are very helpful, like joining meetups. We can make the advice into 0 credit courses to push students into learning things.
How would you improve the job placement process?
The job placement process is hard to take off quickly. We had an awesome director, but she will not provide job offers to all of us outright. We need to focus on two parts: job application and interview. She is working very hard at the job application side, and we need to improve the interview side, like using Financial club to organize interview training/peer interview sessions.
At the very end, I would like to notice anyone who will be reading this review: all reviews are subject to everybody’s very own experience. As time passed by, and as the situation changes, some of these reviews may not be valid anymore. Take our words with care.
I'm sorry to tell everyone reading these reviews, but the last 7 reviews are all written by faculty and employees of the NYU Tandon School of Engineering's Finance and Risk Engineering Department.
I am a Professor in the department and I cannot stand for this any longer. These fake reviews are written in an attempt to restore the school's image. I overheard multiple faculty members and Dr. Carr speaking about writing reviews on quantnet and giving high ratings.
For the most part, this department is full of liars and professors who are not experts in the field. There are barely any firms who will hire from NYU. Sure, the students get interviews, but they are not well equipped with the skills and tools needed in order to clear those interviews. I know of at least 30 students who are in roles that are not financial engineering related, and it's a shame that some faculty members are lying and saying the program is amazing. This department is not amazing, professors are sub par and it's an expensive education for those coming from other countries. I will be looking to teach at another university after I heard of these professors colluding to write fake reviews.
Currently student here. Someone asks to name some students who go to bb. Here is the situation. We have Barclays Capital, Goldman Sachs, Moore Capital, JPM. That's just what i have known so far.
About the courses, i would say some of them are great and some of them are easy.
Programming: Financial Computing(C++), great course taught by great professor. Algo Portfolio Management, which requires high level R language and relevant portfolio knowledge. Fixed Income Quantitative Trading, use python to write trading strategy.
Math: Stochastic, Continuous time finance are really great and important course for quant.(btw, CTF is taught by Peter)
This program is definitely in progress since peter came here and we got a lot of opportunities in career. And recently Sarah was invited to be our career mentor who was responsible for campus recruiting at Morgan Stanley.
I would say it's a great program overall.
I graduated from this program in May 2016 and right now work in Susquehanna International Group after I left Soc Gen.
The overall experience in the program is positive.
I am quite disappointed by those 1 star/ harsh reviews below. Especially the people who blame this department did not place them with a job. My suggestion is that If you really want a job, then go talk to people, go networking, go prep for the interviews, go find internship, read more books at home. No such program is going to spoon fed you and make sure you have a job right after you graduate.
Recommendation of professors:
1. Professor Hoff (commodity ) : super nice and knowledgeable, his lecture is divided into 2 part, first half is industry insight and second half is the Math.
2. Professor Pawlowski (R, Algo portfolio) : everything you need to know in R related to Finance and quant trading. His lecture is really useful, I share it with my colleague and having traders and quant using this as template of our code.
3. Professor Mandel: Cover fixed income in solid and practical, it is the kind of knowledge you need before you join a fixed income trading desk.
4. Professor Tang: C++, great teacher, teach the material well. A good refresh for student who already know basic data structure and fundamental object oriented programming.
Overall the courses are great except Accounting(useful for Credit trading and Equity trading) but now accounting has been cancel which is a good thing.
Since this program has so many courses to choose from, it would be helpful that you ask yourself what you plan to get out of it after 2 years right from the beginning and build your profile and chose courses according to that goal. (Technology, Quant strategist, market risk management or quant trading)
Great location, just being in New York is a big plus for such program like Financial Engineering. This mean lot more job opportunity and the classes are more practical.
Small Class size, even the program is big but the student in each class is around 20
Lots of industry professors, so you have a good idea of what is going on in the street.
With Peter Carr being our new Department Chair, he restructure this program and already brought in talented industry professors from the street and initiated industry projects with companies. Also, Sara new Career Placement Director and she did a great job in reaching out to company and alumni to assist with placement.
1.5 credit course( 7 lecture) seems too short. Could restricted such that 2 professor teach one topic like in Courant.
Need one python classes. You can learn at home, but would be a great idea to structure the class around Python or R.
More courses on fundamental Statistic, probability theory, and Stochastic Calculus, even it is listed as requirement but students come from different background.
Cheating in the class should be punished more severely.
I am a Fall 2016 student in NYU Tandon's FRE program. Overall, my experience has been pretty good... academics (including the coursework, professors) are good. Yes, few professors/courses might need some tune up, but there in multiple course offerings by different professors which can be pursued.
The career cell at NYU performs satisfactorily however it can do better. Sarah, the new placement director at FRE is doing the best she can considering the uncertainty in the job market (especially for International students, which is 99%+ of the enrolled students)
If you build your profile well, take the right courses (according to your interests), put effort in your academic projects, I don't think there is a downfall to the experience.
Recommendations for Negative Reviewers:
1) Don't expect to be spoon fed all the way through the program. No one can cover 100% of the stuff in class. I have seen people crib that they could not correctly answer a question in an interview and blame that it was not covered in class. (Thats just total BS). If you are gonna blame someone ....blame yourself for not cracking the interview.
2) No program will promise you a job at graduation. If you want a job you will need to get go out and get it....Applying through portals only gets you upto a certain point...
3) Most skills are picked up in Finance are OTJ. If you are looking for an entry level job, the chances are you will be interviewed on your academics (mostly basics). If you know your stuff, you will sail through..... There is difference between academic knowledge and industry practice.... you will know it once you enter the industry.
Recommendations for the Program:
1) Scrap the 1.5 credit courses: I don't think there should be any course with 1.5 credits.... You can make the syllabus more detailed and make them 3 credits. Personally, I don't think 1.5 credits does justice to any subject.
2) The program size is too big: I mean 150+ students (you must be kidding me). Most programs on an average have 60-80 students graduating each year. Its difficult to place that many students in a year (no matter how high the quality of students you have... which is not the best anyways).
3) Faculty: Please review the faculty, ...I have personally not faced any issues like any of the comments below but I guess they are far too many to be ignored.
Overall, the program can be a home run or a strike out but it depends more on the student and less on the academic program/department/faculty... yes they are always to guide and help you out in case of questions. The program is undergoing major changes in terms of coursework as well as the faculty, Peter Carr is making changes which I feel will move the program in the right direction.
I recently graduated from NYU Tandon, so I would like to share my opinions about this program.
1. Although we have more than 100 students in this program, the size of classes is small. The limit of the class is 30 students, which means we have more classes. The classes are diversified enough to cover the most business that investment bankings are doing. 80 percentage of the classes are offered both in spring semester and fall semester.
2. There are some financial classes offered. If you are not familiar with finance, it is a good chance to choose them. Otherwise, you will be able to waive them.
3. NYU has a powerful career service. NYU CareerNet is a very convenient and useful website to apply for internships and jobs. Many students got their internships and full-time jobs through that. Besides, Sara, the new placement director has provided us a lot of information since she went to our program in Feb. As far as I know, some students got full-time quant or risk jobs at J.P Morgan, Societe Generale, RBC Capital Markets, Citi Group. Some students interned at J.P Morgan, Barclays, Goldman Sachs.
4. New department chair Peter Carr tried to improve the program. He hires a lot of professors working in the street. New courses such as Machine Learning, will be introduced in the next semester.
1. The final exams of some courses are kind of too easy, so some students can get relatively high scores by merely practicing the sample exam even if they may not have a thorough understanding of the courses.
2. Most of the professors are not as famous as professors teaching at Courant's Mathematics in Finance Program.
I am recently graduated from NYU Tandon, and I would like to share some point of views.
Pros of the program:
1. The program has four tracks, and the curriculum is well diversified, so you are free to choose the classes and areas you are interested in. Mostly, I took courses related to quantitative finance, covering area like stochastic calculus, numeric methods, asset pricing, programming labs, etc. And they are adding some new courses each semester.
2. There are many great professors in the program. I took classes from Agnes Tourin, Andrew Papanicolaou, Song Tang and so on. Their lessons covered useful knowledge needed in quantitative finance. Also, they are very responsible and kind to help and answer my questions.
3. The program has a new placement director Sara Tomeo before I graduated. She is very resourceful and experienced. She shares many information and opportunities about internship and full-time jobs.
Cons of the program:
1. Since the program has four tracks, and the curriculum is diversified, it might not be enough if you want to focus on a specific area. Also, there are not many math courses, so you have to choose from other departments.
In conclusion, I think the program is improving.
I am May2016 graduate. It is very positive for me to take this program. The full-time prof.s are responsible for their students, not to mention being kind. I was very thankful to get every response from my every question via email. I chose my courses depending on my capability and interest. Therefore, they were effective and efficient for me to learn. Since there are ample supplies of knowledge in each course, being highly motivated is helpful. Or I would like to say "being interested". Prof.s' notes are extremely useful for understanding new concepts and for exams. The more I read, the better gist I got. On the other hand, part-time prof.s have different styles. Some would give presentations on class and some focus more on practice. I gained a lot from those courses. They trained me to be a qualified financial engineer. For some minor points, there might some culture shocks among students, which challenged us in every aspect of study and career. There were four tracks to choose and we could also customise our own depending on what kind of job we want to do. The new department chair has arrived after I graduate. I truly want to take one or two courses of him or other new interesting courses. I feel thankful for taking such great program in my life.
I am a currently enrolled student. I would like to share some views.
1, Ever since Peter Carr came to Tandon, he keeps inviting people with industry experience came to teach lessons, like Edith Mandel, Pierre-Yves Guillo etc.
2, New placement director Sara is resourceful and experienced. She keeps us informed with multiple internship / full time job opportunities which is hard to find in internet. Many students have found internship this year with the help of Sara.
3, Some professors have amazing teaching skills which explain widely regarded complex knowledge in a very understandable way. Especially Prof. Tang’s C++ class.
4, Classmates are talented. Again, since Peter Carr joined us, the admission becomes more selective. Most students from China are from ‘985’ or ‘211’ university with background like mathematic, physics, computer science, etc. Students from Tsinghua, Peking, Fudan and SJTU are common seen here.
1, Like most programs, there are some curriculums which are too theoretical.
2, It’s a traditional MFE program with traditional curriculums. Personally speaking, it would be better if more Data-Science related courses were added. Like Hadoop, Storm and Spark etc.
In conclusion, the program is rising. Welcome aboard.
I had to create a new account because quantnet doesn't allow me to reply to reviews. The person who has written the review below me is either hallucinating or probably living in a fantasy world.
Here I have few questions, answer them if you can -
1. Name few students who got into algo trading (Leave alone quant).
2. If I come here to study quant, I expect to get it. Name some quants who got into bb.
3. All those who got bb interviews, was it through NYU OCR (NYU OCR is a service provided by NYU and not Tandon. LOL) or direct apply on websites?
4. I've personally spoken to few recruiters. I wish I could say their names. They said and I quote - "We don't hire from NYU Tandon - FRE"
5. https://www.quora.com/Why-is-financial-engineering-at-NYU-Poly-not-very-looked-up-to Though the answer was written in 2015. What has changed between now and then?
6. Are you an international student or local? What is your employment status? Did you get a quant job?
7. How many students got jobs because of the placement director? PS - I'm not talking about interviews again. I know it is not her duty to get jobs. She's trying her best to get interview calls. But what is stopping the students from getting placed if they're getting interview calls. From my experience, it is the way they're trained and taught for two years.
The person has written we have responsible professors. The biggest joke of all time. I could go on non stop on writing how responsible are our professors. LOL.
From what I believe, the department is asking students to write good reviews to bring up the rating. Good luck doing so.
I recently graduated from Tandon. From what I know, a lot of students can get bb interview, Tandon’s name is definitely not a problem like the review below mine described.
The program offers tracks besides quantitative finance, so courses are much diversified, and that is probably why some people think some courses are not helpful for quant interview. Most of professors here are responsible. If you do some research, you can surely find great and challenging quantitative courses. There are a few courses not as useful, the department is collecting student’s opinion and restructuring these courses. So I think the situation will get better soon.
Finally, I don’t think it is fair to say there is no one really to help find quant jobs. Professor Peter Carr has brought many job opportunities for students. We have a very professional career placement director to help students with job search and interview. We are also building our program career resources and opportunities.
I wish I could give a zero star rating but sadly quantnet doesn't allow do so. This program sucks to the core. There's not even a single aspect where this program excels or at least doing justice to it. Can someone from this program give me just one reason why this program is good or why should anyone pursue FE from this school? You have my email ID - if you have the answer, please feel free to write an email to me. The number of students who got quant jobs after graduation speaks for the quality of the program. Please stay away from this program. If you already have experience/job, then this can be your ticket to USA, else it will prove to be a disaster for you. Waste of 60k. There's a saying amongst the students and I quote - If you want to get interview calls, don't mention Tandon on your resume. And I rest my case.
A very rigorous and challenging program but very effective in touching a wide range of finance and mathematics topics related to the modern day world of quantitative finance. This program consists of a curriculum that builds upon knowledge with each succeeding class. You might end up deriving the black scholes equation, for example, in three different methods in four different classes - each time giving you a new perspective on how to think about its derivation. I myself came in with no financial background, but an applied math undergrad majors with professional experience in computer science. I learned a lot about my strengths and weaknesses and what to do with each one. The professors are knowledgeable but also demanding of their students. Therefore if you aren't catching up with the material it's best not to let much time pass.
I first obtained an internship after my first year working for the New York Mets as a business analyst. Working with Python , SAS, and SQL to create a wide range of data analytics reports for various business departments.
Currently I'm working as an Operational Risk reporting developer at Guggenheim Partners - a role I was able to obtain with the help of a Fordham MSQF alumnus , who current sits a few rows behind me on the Sales and Trading floor. If you give this program your very best effort, you will be nothing short of pleased by the outcome.