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NYU Tandon School of Engineering - MS in Financial Engineering

Bridging Financial Theory and Practice

  1. Anonymous
    Anonymous
    5/5,
    I would like to share my experience not as a NYU MS FRE student but as a NYU Tandon School of Engineering international grad MS student from another program. Last 2017 Spring semester I took Corporate Finance at the FRE Department, it was a really great course that I highly recommend, the Professor is a master on the topic and with tons of practical experience of real cases and advisory experience to financial institutions around the world, he taught us how to really apply financial thinking and tools to real cases and CFO's challenges.
    I believe important to share this really positive experience, as a student who is trying to pursue a career on investment banking and project finance, I am convinced that through the practical expertise taught at the NYU FRE Department students are really wining what we should be looking from our graduate experience, real world tools and skills in order to succeed on our future careers.
  2. Anonymous
    Anonymous
    1/5,
    It's so funny that everyone wants Peter Carr to carry the whole department. Everyone has only one answer to all the problems - "we have Peter Carr". Also, it is so obvious from the reviews getting deleted that there's something seriously wrong with the department. It's a scam running for past couple of years under the name of NYU. Don't try to make a fool out of everyone by writing fake reviews. Peter himself knows the truth. Below is a detailed review -

    1. If you want to be honest and work hard - you'll fail terribly because most of the students will cheat off their exams and get good grades.
    2. Some professors do not really want to teach and it seems they're doing a favour by coming to the school.
    3. No career help from anyone here are at the department. Believe me it's a scam.
    4. This program is not for anyone who aspires to become a quant.

    And lastly why are all the good reviews coming up now? Good marketing campaign. Mixing up education and money. Job well done.
  3. nobody
    nobody
    4/5,
    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.
  4. Anonymous
    Anonymous
    5/5,
    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.
  5. Anonymous
    Anonymous
    4/5,
    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.


    Pro:
    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.


    Con:
    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.
  6. Anonymous
    Anonymous
    4/5,
    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.
  7. Anonymous
    Anonymous
    4/5,
    I recently graduated from NYU Tandon, so I would like to share my opinions about this program.

    Pros:
    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.

    Cons:
    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.
  8. Iriss
    Iriss
    5/5,
    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.
  9. jpiral
    jpiral
    4/5,
    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.
  10. Anonymous
    Anonymous
    5/5,
    I am a currently enrolled student. I would like to share some views.
    Pros.
    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.
    Cons.
    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.
  11. Anonymous
    Anonymous
    4/5,
    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.
  12. zhing
    zhing
    1/5,
    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.
  13. Anonymous
    Anonymous
    1/5,
    Came to NYU in Fall 2015. Graduated in Fall 2016. I was unable to find job after getting degree from NYU. This very frustrating since I traveled from China to study at University and spent $60,000 to study here. Job prospects not good. No one really to help find quant jobs and most companies do not call back cause NYU FRE school not recruited by major bulge bracket banks. Reviews before are true & this school does not help in finance. Many of my friends from other programs got jobs and I was forced to go back to China.
  14. Anonymous
    Anonymous
    1/5,
    I agree with the most recent reviews of the NYU Tandon Finance and Risk Engineering department. However, there were some one star reviews that were deleted, they are trying to scrub the internet for bad reviews. Good tactic to better market the school, but this is not helping anyone.

    If you look at other schools and compare Tier 1 schools to this, what I would consider, a Tier 3 school, there is more emphasis on learning and getting students ready for the finance industry for the former.

    Some background on myself: I'm currently a second year student in the NYU Tandon FRE department, and as some students have already stated, this program is sub-par. Now, I'll reiterate the fact that the two new professors for News Analytics and Hedge Fund Strategies, the NYU Finance and Risk Engineering department has added are not industry professionals. Although they look great on paper, we know how far that gets you in the real world. I've sat in on these classes, and there was one student who really knew more than both of these professors, I believe he's an American student with some industry experience, I'm not really sure. The student knows a lot more than the professor for the Hedge Fund strategies classes and really directed the professor in the right direction. This professor does not really teach proper hedge fund strategies, and I'm really disappointed as I had to drop the class to save my money.

    The department is not all that bad. There are some really good professors, such as Andrew Papanicolaou, Nassim Taleb and Peter Carr. However, three good professors cannot carry one whole department full of amateurs.

    If you want to go to a school where you're forced to cheat just to keep up with the other cheaters, then by all means come to this school. If you want to learn and actually compete with the brightest minds in the world, you're better off buying 50 books related to math, computer science and finance. That'll run you around $5K to $10K, and you'll save a lot of time and money. In my honest opinion, this department seems like it's trying, to a certain degree, but here's the real kicker: the department has been burning a lot of cash hiring new professors, who are really not all that qualified to teach.

    If you want some advice from a student who's been through what you have been through, the answer is: "Do not spend your money to come to NYU FRE." Tuition costs are only going to rise, and you may end up paying a lot more soon for an education that's not helpful at all. Given this information, you should consider it. The old street saying goes: "Success breeds success." If you come here your subject to the opposite of that, barring a few good professors who are of great help. When your around students who cheat and professors who allow it, this school is all about "Failure breeds failure." Please save your money cause I'm talking from experience here.
  15. ahuang
    ahuang
    1/5,
    The most recent reviews below mine, are sadly, all facts. Sebastien Galy does not teach anything, and it was a complete waste of money. However, I still believe Corporate Finance and Accounting are needed. Albeit, the accounting course should make you review companies and be able to sniff out their accounting practices.

    I completely agree that they currently do not have any good coding courses to get you ready for the real world, minus Financial Computing and Numerical Simulations. It's very true, I have friends in the industry and they never heard of Tandon and believe it's not even in the top 30. In terms of cost, it's way too expensive for courses that will not teach you anything. Reiterating what the student below said, there are no python, machine learning, artificial intelligence, and optimization courses. The department is full of broken promises. The newest additions to the faculty are bad as well, from what I've heard. I'm currently a second semester student, and I've heard really bad things about Kosrow Dehnad is a self-proclaimed data miner and statistician. From what I've heard, he's making students use poor statistical practices in his News Analytics class and does not even teach you how to decipher news or SEC Filings.

    In addition, I'm enrolled in Hedge Fund Strategies, and the professor cancelled three lectures in a row, and is only teaching 5 lectures. I should get a full refund for this course because I did not get what I paid for and the number of lectures I was promised. Also, now I have to work under his schedule and go to class now. This should be the other way around, the professor should work around the students' schedules. He does not even teach any strategies, there was one student that actually corrected this professor multiple times in the first two lectures...and this student didn't seem like he was paying attention at all. He was busy typing on his computer and still corrected a professor that has "worked" in the industry for so long. I think that student would've been a better professor than Sudeep Gupta.

    Cheating is also a big thing in this department. It's unfair to the students that actually study for hours on end and have jobs. The TAs outright send you solutions and don't even explain you the thought process behind it. I never ask for solutions, I ask for explanations because I want to learn this. There should be indifferent proctors for the exam, those that are not afraid to throw a student out of the school for cheating. I see students take out their phones, look up answers, go to the bathroom for 10 minutes (not even one student at once, but multiple students). Make this a project based school with no exams, that's how you combat this cheating. The real world does not make you take exams, the real world makes you work on projects. The department should be ashamed of giving such a poor representation of NYU. How does this school claim to bridge theory and practice, when in practice there are no exams and barely any cheaters. The students are left with no education and no skills. There are some very bright students, but they learn everything on their own and the professors can't even answer their questions.

    In conclusion, you should save your money and not come to this school. I know from experience already the level their operating at is more like a high school. There are some good classes, but overall, it's not worth it to spend over $50,000 just to get a degree and take five good classes. This department is full of broken promises, they're selling students the dream, and this is by far the worst decision I've made in life, to travel thousands of miles to NYC to get what is the equivalent of a high school degree. Professors letting students cheat without a care just shows you what type of professors they're getting. Low quality. There are some good professors there, but they should all leave and go to a better school to teach.
  16. Anony Mous
    Anony Mous
    1/5,
    I am a fall 2016 graduate from NYU Tandon, and the program failed to meet expectations. Sespite what these reviews have said, courses and the professors fail to get you ready for the real world. I've spent countless nights studying for courses of no use and were not practical at all. There are a few good courses, such as the course Dr. Taleb teaches.

    In my honest opinion, this school is not worth the price tag whatsoever. The emphasis has been on improving and providing students with practical knowledge, but the school has been stuck in the theory aspect. Schools such as CMU, Columbia, UChicago or NYU Courant would be a better choice. The school has not released its placement numbers at all, and it did not have any courses focused on Java or Python, which is what many companies are looking for. However, they do have courses in C++, Big Data and R. Additionally, I studied under the Algorithmic Finance Track, and did not learn any algorithms at all. The topics that were taught in these classes were of no help and do not properly get you ready for a career in algo trading. I've had to spend most of my time studying on my own, and not listening to the professors because some of the material they teach is just blatantly wrong.

    Please, save your time and choose another school. I am speaking from experience and have not found a job yet, despite getting a 3.9 GPA. The school is also not fond of penalizing cheaters. I have seen countless students cheat on exams, and those professors did not say anything even after bringing it to their attention. If a few students cheat, it might as well be an open book exam. There needs to be drastic changes, from creating new courses and emphasis on more projects rather than exams to get students ready for the real world.
  17. Anonymous
    Anonymous
    4/5,
    I am a fall 2016 MFE student.

    Now we have Dr Peter Carr as the director. And the program is obviously improving now. He hired several noted professors from the industry. He is working on the placement, hiring the placement officer, inviting the guest speaker to the seminar.

    Pros: the curriculum is well diversified. We could freely choose different tracks. The location is excellent. And the careernet of NYU is very useful for students.

    Cons: There are some core courses that seem to be irrelevant to the financial engineering. Some professors are not dedicated to teaching.
  18. richard yang
    richard yang
    4/5,
    Couple reviews above seem butthurt (sorry for being blunt, well.. not really sorry). Like all MFE programs out here, it's a professional degree. If you want the jobs bad enough, you go out and get it, network, talk to people in the industry. School only takes you so far, you should also pick up stuff on your own, and quite frankly you learn most O.T.J. and its a continuous learning process.

    If you hope to have a job handed to you by the time you graduate, boy maybe you are just in the wrong industry. Absolutely Caltech, Princeton students do get frequently targetted/approached by HRs, and you have to go the extra mile to land an interview, but once you're in, its a level playing field.

    but i digressed, there has been big shift in the industry, specifically on the sellside. Greater emphasis on risk management, modelling more focused on time series and statistical learning. School tries to accommodate, next year (from what I heard) they are bringing in a new professor in machine learning.

    Curriculum:
    School provides curriculum in programming, numerical methods, derivatives and sto calc, if you are interested in particular asset class, there are special topics class in commodities, interest rate, credit and abs. They are more than enough to prep you for the interviews.

    If you are into hardcore research/modelling role, I don't think any of the mfe programs out there will prepare you for it, unless you have a prior phd background.

    Job Placement:
    Granted I wish there were bit more help from school on the career services front, I have enjoyed the job searching process (even though it has been a long, stressful process, I do appreciate it, the experience could be useful down the road). Received offer from bb asset management, risk management, and consulting. Job market has been pretty tough on S&T front, thanks to volcker, and possibly worse with frtb coming online. I also know couple classmates decided to go into analytics, big data.

    You do get a lot of interviews with bulge brackets GS/JPM/MS etc in strat/market risk/quant related roles. Again, S&T is almost nonexistent, but that's the same for everyone.

    Student Body:
    Majority asian/indian, as quant industry in general.

    PM me if you have any questions, I'd be happy to answer them.
  19. Anonymous
    Anonymous
    4/5,
    I am a fall 2015 MFE student, and I rate this program as tier 2.

    Pros: 1) The location is good, along with lots of job opportunities. 2) The career service is very professional, especially the On Campus Recruitment (OCR) System, which reflects NYU's high reputation in financial service. 3) The courses are very diversified, covering all finance areas. 4) Audition is possible, and you can audit Courant's class if you want.

    Cons: 1) Some professors are good at teaching, but others are not. 2) The career service of the program is not as good as the one of the university.

    Totally speaking, the platform is well established, and the program is suitable for those of high self-motivation.
  20. Anonymous
    Anonymous
    1/5,
    The quality of the program is sub-par.

    Some professors, especially those for core courses, do not speak english at a fluent enough level. Many other professors simply come in once a week to teach class. Office hours are normally held by the TAs, who more often than not do not even show up unless you make an appointment with them before.

    The biggest drawback of this program is that it's simply not targetted by financial firms. Those who are recruiting at NYU tend to recruit out of Stern or Courant, or are looking exclusively for undergraduate students. The majority of On Campus Recruitment (OCR) jobs in the financial services industry on NYU Careernet do not allow Masters' students to even apply. The job fairs that are held on the Tandon campus are mostly from firms looking to recruit for technical positions such as computer programming instead of finance positions.

    NYU Tandon does not even release placement numbers for its financial engineering program.

    The program is a very awkward hybrid of finance, computer programming and mathematics; the problem is, recruiters who are hiring for any one of these fields tend to look elsewhere. This program is fine if you are an international student, have a job lined up and simply need to complete a program to get work authorization. If you want to study in a program that will help you find a job by teaching the necessary skills and connecting with the right employers, look elsewhere.