Boston University - MS in Mathematical Finance and Financial Technology

Boston University - MS in Mathematical Finance and Financial Technology

Boston MSMF is a 17-month program offered under Boston School of Management

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Location
Boston, MA 02215
Application deadline
Round 1: 11/20/24 | Round 2: 2/12/25 | Round 3: 4/4/25
The three-semester program takes you to the cutting edge of financial engineering. The curriculum starts with tools such as stochastic calculus, derivatives, or computational methods necessary in most aspects of our fields. It then lets you explore your special interests, be it quantitative portfolio or risk management, fixed income or equity, You will be exposed to the latest techniques used in financial technology and statistical data analysis. You can explore exciting new frontiers such as machine learning and algorithmic trading.

A number of our students choose to supplement their degree with an optional fourth semester and obtain the Graduate Certificate in Advanced Financial Technology (GCAFT). As a standalone, the GCAFT is a four-course program exposing students to the latest advances in Fin. Tech., machine learning, statistical data science, cloud computing, blockchain, and cryptocurrencies. If you take it after your Questrom, MSMFT, you will likely already have taken some of these courses. Your requirement to get the GCAFT in addition to your MSc will be to complete 4 Fin. Tech. courses over your 4 semesters. You will have the freedom to choose appropriate courses in and outside of Questrom to complete your 4 courses, with the advice of the Executive Director.
2025 Ranking Data
Rank
21
Total Score
44
Peer Score
2.5
% Employed at Graduation
17%
% Employed at 3 months
40%
% Employed in the US
14%
Compensation
$93,381
Cohort Size
88 FT
Acceptance Rate
69.2%
Tuition
$94,904

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31,631
First release
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Ratings

3.73 star(s) 15 reviews 4.20 star(s) Students Quality 5.00 star(s) Courses/Instructors 4.20 star(s) Career Services
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Latest reviews
Headline
A Great Math Finance Program
Class of
2022
The program offers a well-balanced curriculum that includes both rigorous classical theories and practical applications. Faculty members come from both academic and industry backgrounds, so students can build a strong theoretical foundation and also get valuable real-world insights.

Before the first semester begins, students will participate in a preparatory training session designed to review key mathematical concepts and introduce Python programming, ensuring all participants feel confident with the essential skills needed for the program. Midway through the program, a bootcamp focused on quantitative interview questions prepares students for commonly encountered questions during job interviews.

Students in the program come from diverse academic backgrounds, including finance, statistics, mathematics, computer science, engineering and etc. While the coursework is rigorous, students without prior experience in finance or advanced mathematics should find it manageable with dedication and hard work.

Strong industry connections enable the program to offer some summer internship opportunities through partnerships with various institutions. The alumni network is very active—many alumni working in the field directly request the program’s resume book, opening up even more opportunities for students. Additionally, the program’s flexible structure allows students to graduate after either three or four semesters, depending on their goals and circumstances.

If you’re a student seeking rigorous academic training in mathematical finance while also gaining practical industry insights, I believe this program would be a good match for your interests.
Recommend
Yes, I would recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
4.00 star(s)
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Z
Headline
Great Program
Class of
2023
I entered BU MSMFT program on September 2022. There was a 2 weeks math/code camp before the start of the program. In the math part, it helps students to review Derivative, Linear Algebra, Differential Equations. For the coding part, it focused on some basic python syntax and projects and SQL. This pre-camp can help students smoothly transition to more advanced courses in the subsequent courses.

Students need to take four courses for the first semester including "Fundamental Math Finance","Programming for Financial Mathematics","Statistics for Financial Mathematics" and "Stochastic Calculus". As a student who studied mathematics on undergraduate and did not have too much experience on the finance field. These courses help me a lot. After taking "Fundamental Math Finance" I got a general framework in mind about financial mathematics. Since that I had a clear direction for my course selection next semester and my future career development.

Students have a great deal of freedom in selecting courses during their second and third semester. I wanted to learn more about the data and machine learning. So I took Advanced machine learning in finance, deep learning and high-frequency trading classes. The courses are really well-designed, teaching not just the theory but also incorporating plenty of industry-related projects. But if you are interested in math and want to be a Q quant, there are still plenty of courses you can choose like Computational method, Advanced Derivative and Credit Risk.

The MSMFT program also offers strong career service. Each semesters, students are required to take one career coaching course. It will invite guest speakers, many of them are alumnus from the project, to give students advice in hunting jobs. They are also willing to refer students as well. So Don't be shy, talking with them after lectures and they will definitely be willing to help you! Program also have resume book which they will directly send the resume of good students to some firms. The alumnus of this program are all around the U.S even the world. If you make full use of alumni resources, it can be very helpful for finding a job.

One of the reason I like the program is it has great professors. I took three courses, including machine learning from professor Hao Xing and he is amazing. His lectures are rich in content and very clear. He also enjoys communicating with students, listening to their questions, and offering help. Strongly recommend to his office hour. Professor Philip Sun is great as well. I took his high-frequency class and his courses are not only very interesting, but the projects are also closely aligned with the industry and real-world applications. Other professors are great as well! So please talks frequently with professors if you go to this program!

Overall, the BU MSMFT program has been an invaluable experience.I would highly recommend this program to anyone interested in pursuing a career in quant finance industry
Recommend
Yes, I would recommend this program
Students Quality
5.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
4.00 star(s)
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Youli Guo
Headline
A Challenging but Rewarding Experience
Class of
2025
Consistent with Boston University's strong academic reputation, this program is both rigorous and rewarding. With its intensive course schedule, students are always kept busy. To excel, you’ll need a solid foundation in probability, statistics, algebra, and programming. Along the way, you’ll gain a deeper appreciation of how these natural science disciplines come to life in the context of finance, a fascinating social science.

The professors here are not only leading experts in financial mathematics, financial engineering, and fintech but also deeply passionate about teaching. They combine strong theoretical knowledge with a keen awareness of industry trends, making their guidance incredibly valuable. On top of that, the program is supported by a dedicated career team that offers exceptional help with résumés and interview preparation. It’s clear that the program is deeply invested in helping students succeed.

Many students join this program with aspirations of building a career in the United States, and most are international students. While the U.S. job market is currently quite competitive, making it tougher for international students to secure positions. It’s helpful to be aware of these challenges in advance and to stay positive and proactive about your goals.

One thing I’ve noticed is a bit of a gap between the professors’ high expectations and the general readiness of some students. The professors work hard to ensure we understand the material, but the content can be demanding, especially for those who may not have a strong mathematical background. It’s also worth noting that the connection between mathematics and finance can be complex, but that’s part of what makes it so interesting!

My advice for anyone considering this program is to gain some relevant work or internship experience beforehand. This will not only enrich your learning but also help you build your skills more effectively and give you a clearer understanding of how the knowledge applies in practice.
Recommend
Yes, I would recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
5.00 star(s)
Upvote 0 Downvote
Headline
Great Program !!!
Class of
2022
It’s been two years since I graduated from this program and started my career in the industry. With gratitude, I am writing this review with the hope that more people can recognize this excellent program for what it truly looks like.

The students' backgrounds were quite diverse, with undergraduate majors ranging from mathematics, finance, engineering, computer science, and various interdisciplinary subjects and they had graduated from universities all around the world. Some of them even had full-time work experience, but the majority came directly from undergraduate programs.

The overall curriculum setting was very intense and hardcore, and I mean it in a good way. During the two-week review classes and first semester, all the students took the same courses involving stochastic calculus, statistics, programming and math. As you can see, the program effectively combined theory with practical courses to get you prepared for the future study. Differentiation started from the second semester when students had the opportunity to choose their concentration from asset management, Fintech, quantitative analytics, risk management and research according to their interests and career plans. Every concentration has different focuses and thus different course combination. Even though, it gave us enough flexibility to choose a specific course from other concentrations if you really wanted after talking to the executive director first.

Fintech was such an emerging field at that time that only a few program in a few school set up relevant courses, and this program was one of them. I took the fourth semester and obtained the GCAFT, finding out a whole new world out of there. On top of the related courses set by Questrom, we were allowed to take courses from other departments, such as math and statistics or computer science. Through a deep understanding of blockchain, cryptocurrency, advanced machine learning methods, and the mathematical principles behind them, I feel that the future is slowly unfolding before my eyes.

Professors consisted of esteemed academic experts and seasoned industry professionals, offering diverse perspectives and equipping us with the knowledge and skills needed to excel in various paths, whether we chose to pursue a career in industry or continue our academic journey with a PhD. I have been fortunate to learn from each of them who generously shared their insights and wisdom without reservation, and who patiently explained to me everything even when I was asking stupid questions. I would like to express my special thanks here to Prof. Lyasoff, Prof. Xing, Prof. Kelliher, and Prof. Jacquier on their dedicated teaching, valuable advice, and unwavering support throughout my time at the program and beyond.

The career team did a really good job too. Because the epidemic had just broken out when we enrolled the program, and the economy had just begun to recover when we graduated, finding internships and full-time jobs at that time experienced various difficulties and obstacles. In addition to the weekly career course of interview training, and alumni or employer presentation, the career team provided with one-vs-one personalized assistance with respect to resume modification, interview simulation and offer selection. Thanks to our brilliant alumni, many employers came back to this program and recruited for more people. I am so glad to be one of them now. Many thanks to the career team grouped by Jun, Jason and Joe. You are the best!

Looking back, I am still amazed by how much I was exposed to and how much I learnt during such a short period of time. I was having this conversation with my friends who graduated at the same time and are currently pursuing different career paths. We were all grateful for the program's comprehensive curriculum, practical skills, and networking opportunities, which had provided us with a strong foundation and prepared us well for our future careers.

This review aims to provide a genuine and comprehensive picture of the program. And for those of you who are looking for a decent program to have a quant finance master degree in US, I hope you take this program into serious consideration.
Recommend
Yes, I would recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
4.00 star(s)
Upvote 0 Downvote
Zack_
Headline
BU MSMFT
Class of
2023
Background:
I graduated with a major in Math from a U.S. college before attending the BU MSMFT program. My GPA was just below 3.5, and I didn’t have a lot of working experience. My GRE scores were Quant 169, Verbal 160, and Writing 4.5. In my class of 2023, there were 106 students, most of whom came straight out of college. The program included a bootcamp and three semesters in total. I also attended an optional fourth semester to extend my student status and have more time to look for a full-time job. After graduating, I landed a full-time position at a bank as a financial data analyst.

Schoolwork:
The two-week mandatory bootcamp covered the basics of programming, math, and stats without extra fees. It was a good refresher that prepared us for the actual courses in the program.
Each semester, we chose four courses worth 3 credits each and one 1-credit career prep course. In the first semester, everyone took the same courses: Stochastic Calculus, Stats, Programming, and Finance. These courses helped me build a strong foundation as a quant and were even helpful when preparing for job interviews. The stochastic calculus course was rigorous—great for those considering a PhD in finance but maybe a bit too academic for students planning to enter the workforce directly. To address this concern, a new course was developed, but I didn't have the chance to take it. However, the feedback from my classmates was positive.
Starting from the second semester, we had the freedom to choose courses based on our interests, though some third-semester courses had prerequisites. I chose Fixed Income, Machine Learning in Finance, Portfolio Theory, and Financial Econometrics (a corequisite for Portfolio Theory). In the third semester, I took Corporate Risk Management, Credit Risk, Economics of Fintech, and Accounting Risk Management. The workloads were reasonable, with homework assignments, exams, and final projects. It was great that we could showcase our academic projects on our resumes. I also appreciated learning about machine learning, blockchain, and cryptocurrencies, keeping us up-to-date with cutting-edge technologies in finance.
In the optional fourth semester, I took courses outside the MSMFT program, such as Big Data Analytics, Corporate Financial Management, ESG Investing, and Time Series Analysis and Forecasting. Through these courses, I learned valuable skills like Spark, SQL, financial modeling, ESG investing, and time series analysis. I believe these will provide long-term benefits in addition to the rigorous training in mathematical finance. I'm glad the program provided the flexibility for international students like me to have more time to look for full-time jobs.

Career:
Throughout the one and a half years of the program, alongside schoolwork, we needed to focus on resume preparation, submitting job applications, and networking to land a full-time position in the U.S. It wasn't easy, considering the rigorous courses. Despite help from the faculty and career services, it ultimately came down to our own dedication and effort.
The program offered career workshops almost every week. Some focused on resume and interview preparation, which I found very helpful. Others featured industry professionals from various financial institutions sharing their experiences. These were great opportunities to learn about different applications of mathematical finance skills and to network. However, since not all speakers were hiring and students sometimes lacked background knowledge in their fields, not everyone valued these workshops as they should. It could be better if the faculty or the Math Finance student club provided some background information beforehand, so students could have the right expectations.
Additionally, the program offered internships and research projects during the summer after the second semester. Many classmates struggled to secure internships due to limited opportunities, so it was great that many found positions internally or participated in research projects supervised by professors.
We could also request one-on-one appointments with career coaches who are current industry professionals. They provided personalized guidance on resume improvement, interview preparation, and even salary negotiation after receiving job offers.
The BU MSMFT alumni network is also a great asset. Alumni provided personal advice during networking events in Boston and NYC and were very responsive when I reached out on LinkedIn.

Faculty:
The professors were professional, knowledgeable, and genuinely cared about the students. They were always willing to talk with us—whether during lectures, in office hours, or via email. Their openness made it easy to seek help and deepen our understanding of complex topics.
A special shout-out to Professor Xing, Professor Jacquier, and Professor Kelliher for their dedicated teaching and valuable advice during my time at BU MSMFT and even after graduation. Their willingness to engage with students made a significant difference in my learning experience. I'm extremely grateful for all the career advice from Jun Fan and Jason during our appointments; their guidance helped me achieve my goal of getting a full-time job in the financial industry. I also want to thank Joe and Abby for hosting networking events and creating opportunities for us.

Summary:
My experience at BU MSMFT was great overall. The faculty is professional and caring, the coursework is rigorous, and the career services are valuable. I highly recommend future students to attend the program.
Recommend
Yes, I would recommend this program
Students Quality
4.00 star(s)
Courses/Instructors
5.00 star(s)
Career Services
4.00 star(s)
Upvote 0 Downvote
Umnik
My experience is mixed and a bit different from others as I was accepted into PhD program but transferred to MSc after year 1 and got MSc degree:

PhD program year 1 included:
1) Macroeconomics and Microeconomics with Econ PhD students. Courses were nice, especially semester 1 Micro by professor Lipman, but difference in GPA good standing requirements between Econ (3.14) and Math Fin (3.3) made it not very comfortable in the terms of grade curving)
2) Finance doctoral seminars (semester 1 with professor Rindisbacher was nice, semester 2 by professor Detemple was worse as he wasn't inclined to answer questions - "figure out everything yourself" - although advanced stochastic calculus is interesting)
3) courses with MSc students (statistics for Math finance and Fixed Income Securities - that was my favorite class, actually - taught by professor Prieto)
4) TA for some courses for Msc students (it does not seem very nice when you TA classes for people you take other classes and drink beer with)

so after semester 1 we were told that it is important to have 3.3 GPA after 2 years to be accepted to quals, and after semester 2 were told to leave (3 out of 5 students in the cohort - 2 of us accepted the offer to pay for 1 semester and get Msc and 1 left)) - after that despite staying in the University I was kicked out by program director Professor Namini from PhD party, where I sneaked to meet friends))

So after transferring to Msc program - there was one more semester and among the courses I would emphasize Corporate Risk management course by professor Burton (most practical one) and Credit Risk (taught by mentioned Professor Namini - although course included a lot of joking anf trolling from his side)

Career service at that time did not look helpful - although honestly I planned to go back to my home country after the degree and used rare interviews more as a travelling method (went to Optiver interview in Chicago, e.g.) - so got my Msc degree and now I work in financial risk management of a state owned Bank in my home country)

If you have more questions, you can ask))
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Reading reviews varying so wildly can be confusing or discouraging to the reader and thus I feel it necessary to provide a detailed and objective review of the program and my experience thus far.

Let's begin with the facilities here at the school. A challenging program such as this one brings with it a great deal of stress and thus good facilities are a big plus to help with studying. The Questrom building certainly qualifies as a fantastic facility. The ample size, Starbucks located in the building, in house Pardee library, study rooms and student lounges provide a atmosphere conducive to productivity and this is useful in that one does not need to leave the building to conduct long study sessions. I will say however, that the building lacks a large communal area for studying. The lobby has a number of seating options but it is too busy in the lobby in my opinion to conduct productive study. I was recently at Harvard's new law school building. The front area of the building is a large study space that incorporates soft lighting, gas fire places, ample sofas, wood paneling, and aesthetic finishes that make for a fantastic study area. While this certainly is not a large concern area when choosing a program, these small things help throughout the semester and thus I want to detail all aspects to you. BU does have a large library and one can find enjoyable study venues there as well.

Next let's discuss classwork. I notice other reviews speak of how difficult the coursework is and how stressful it is and so forth. Let's be clear, you want challenging coursework! I see very little point in attending school and taking on the time and financial commitments it requires for anything less than coursework that pushes your mind to a new plateau. The fundamental difference between undergraduate and graduate studies is that in graduate school, the answer to a problem may come in several forms and is most often not readily available or straightforward. Problems in the professional world cannot be solved by simply reading a page or two out of a textbook. They require perseverance and deeper understanding of the material, that is what graduate school aims to emulate. Understand clearly that taking on very difficult coursework not only benefits you in the short term by improvement your mental capabilities, but also is excellent preparation for the rigors of the financial industry. So when you see comments of difficult coursework, welcome it with open arms!

Continuing with classwork, this year was the first year of the new curriculum. The compressed schedule of 2 classes every 8 weeks has been changed to the normal 4 classes for a full semester. This is great and will allow you more time to soak the concepts in. In previous reviews there are mentions of not enough time to complete tasks or the load is too bearing. I cannot comment on those statements as they were made under the old structure of the curriculum, but I confidently say that under the new structure you have enough time to do well if you manage your time well.

Onto to the professors. Let's begin with Andrew Lyasoff as he has received some undue criticism on this review feed. Lyasoff is one of the best professors you will ever have. I guarantee it. You will struggle to find another professor who knows his field as well as he does and is as committed to your success as he is. He holds office hours twice a week with the mantra 'I will hold office hours as long as you need'. He often held 3 hour sessions on Sunday as well. I challenge one to find a more dedicated professor. Having said that, his coursework is highly theoretical and very challenging. But this is a good thing! He challenges students to grow academically and if you respond positively to this, you will find it a rewarding experience. There is the drawback that if you are not seeking to be a true quant, theoretical work in stochastic methods is unlikely to be seen in your career. Thus the only negative thing I would say of his class is that it lacks practical application in certain areas. But again, if enjoy the field of math finance and want to be challenged, you will enjoy his class thoroughly.

The statistics professor is Eric Jacquier. A previous review mentions his lectures are incoherent. This is false. Simply put, pay attention in class, take notes and ask questions and you will learn plenty in his class. Another mention was of difficulty to understand his accent. Perhaps I have super hearing but I have not once thought he was challenging to understand. Additionally, he is a pleasant person and enjoyable as a professor. Jacquier's tests are challenging so be prepared for that.

Gustavo Schwenkler is the finance professor in the first semester. I do not have too much to say on this course other than it is well organized, Gustavo knows his material well, homework assignments are practical, tests are not easy but follow the coursework. There is perhaps too much focus on options throughout the course. In addition he grade deflates as mentioned in a further paragraph.

Last is the c++ course. This has been taught by the Executive Director A.Namini. Namini has however, accepted a position as a CTO at a hedge fund in Boston and thus will not be teaching the c++ course in the Fall of 2016. I cannot provide any useful information for prospective students for this class as I do not know who will be teaching this class in the Fall. On the class itself however, very useful class and the projects were extremely insightful and I learned a massive amount from working through the projects.

My only complaint on the coursework is that I think the program should be 2 years long. Given the complexity of the work, I believe students would come out the program as stronger candidates if the extra semester was present. I think that schools with a 2 year math finance program have a great advantage over BU in this regard.

Next on my list is to address grade deflation. Grading in my year has been very fair with exception to G.Schwenkler. If individuals who mentioned grade deflation were referring to a graduate school not just handing grades all B or B+ and above, that is not grade deflation. It is important to maintain a reputation with employers that when they see a GPA of 3.5 or above, they know this student really knows his/her stuff. Having said that, it is also incorrect to 'block grade' students. That is, pre-assign a certain number of grades before the class has even begun. Schwenkler's method guarantees that 25% of the class get a b- and only 10 out of almost 100 students get an A. Most graduate schools don't even accept grades below a B, so to grade this way reflects very poorly on the student in an interview or the like.

Next is the pre-requisites list. I think that the list is missing a couple of items. The list should include real analysis, a full semester of computer programming, measure/set theory. If you can do these before the program it will help quite a bit. However, many students have not done these and if you haven't you still have the tools you need to succeed. These extra classes will just make certain concepts easier to absorb the first time around.

Lastly is the admin staff. They are awesome! Whitney is the assistant director and adviser to the MSMF students and she is great. Always willing to help and organizes a lot of fun things for the students to do. The career adviser is Cris Nigro and she is great too. She will be there to help you through the career search process and I have found her advice to be very useful. She also sends out resume books to employers which create opportunities for students. Thus far, of the things I know about, a couple students got interviews within the first 2 months of the program, some got contacted by Goldman Sachs, and other by State Street as a result of her networking. Of course the school does not have the connections that Ivy schools have, but BU alumni are all over Boston and there are many opportunities out there.

So, there you have the scoop. I think this has been a great learning experience and I am happy I attended. If you approach this with the attitude of gleaning as much as you can and making the most of every opportunity, I think you will be too.
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T
I graduated from the Boston University’s Mathematical Finance program in January 2015 having studied Economics in Undergrad.

As an overview:
The program’s duration is 3 semesters. The first was the hardest in terms of the workload and was focused more on building a theoretical background. The courses of the next semesters built on the knowledge that was (should have been) obtained throughout the first and got gradually more applied.

There was a considerable effort from the director, Dr. Namini, to educate us about the different career paths and connect us with industry professionals. He kept an open door policy and students could spend a lot of time on one on one conversations with him discussing about suitable careers. As an example, I asked him about a particular career path and he spend some time explaining me what I would need to know and where to focus in order to be successful. He even gave me some contacts he had from that specific industry so that I can have informational interviews.

The program also tries to utilize its alumni. I personally found my job through the alumni connections.

It is a professional degree. During the third semester all courses were during the evenings giving me the opportunity to work part-time during the mornings.

As for the difficulty of the program, it was VERY difficult. It was the most stressful experience of my life. The moto of the program (you will hear it from the first day) is “If you are sleeping, you are doing something wrong”. I used to be one of the best students in undergrad but in BU MSMF I was average. I personally think that this is a plus for the program because if you are to spend so much money and valuable time (1.5 years in your twenties is quite valuable) you should be pressured to gain as much as possible.

I would recommend this program to anyone who is driven, ambitious and willing to work hard.
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duyong.lee
I am a recent graduate from Boston University’s Mathematical Finance program.

My background is in industrial engineering. Studying operations research and optimization led me the quantitative finance world.

My class at BU MSMF included around 60 students, and most had an internship during summer and started a full-time position within 3 months upon graduating.

The program consists of three semesters.
The first semester is about learning fundamental math/statistics and having an introduction to quant finance. The 1st semester is divided into 2 parts to fit in different necessary courses, and I personally liked this way of organizing. From the second half of the 1st semester, students are required to use computer programming for their assignments. R is recommended. No course is provided for learning R but C++ course is offered in 2nd semester.

The coursework gets deeper as you move into the 2nd semester. Courses are tougher students have 2 and more projects. Subjects include fixed income, computational finance, C++ and advanced stochastic calculus. Lecture contents and quality are great. Lots of assignments and ridiculously difficult concepts will keep you in school everyday.

Some of the more experienced students and those who get lucky at information interviews get their summer internship offer during the 1st semester. Landing an internship this early is relatively rare, though. Starting from the 1-month winter vacation, students really get started on internship hunting. What is nice about the program is that its alumni network and staff’s efforts are very helpful. Students usually get information about 10-30 job openings through the staff, exclusively working for the program, and the program director. Speaking of the director, Dr. Namini is a valuable asset of the program with his alumni management and corporate networking. His experiences at Wall St. are very beneficial to students.

I also got an internship through alumni, who held information sessions about their company on campus. The Boston area has many opportunities regarding asset management and commercial banking.

Third semester is the full-time job-hunting season. Courses are still intense but don’t require too much. During the 3rd semester all courses are scheduled 6pm - 9pm so students can work part-time (international students can CPT for this).
Some students get full time offers from their internship employers. Like internship opportunities, many offers come from the Boston area thanks to the program’s close alumni network and tight connection with local companies.

I landed a job in a prestigious investment management firm here in Boston, working for the quant analytics team. I am very happy that my position closely relates to research-oriented responsibilities.

Here’s a summary of key facts about BU MSMF:

1. Very nice curriculum (quality, materials, depth, lecturers and the overall structure)
2. STEM OPT extension eligible for international students (29-month OPT will be very helpful, given high demand of H-1B visa applications)
3. Living in Boston is quite fun. Not as crazy as New York, but still a lot of opportunities in the finance industry (If you are a big sports fan, this is the best place to live)
4. The director, faculty and staff really care about the students, their job search and their life in general. They’re very good at fetching jobs too.
5. You need to put extra efforts on computer programming outside of class
6. Coursework is VERY difficult. You will find yourself taking classes with PhD students.
7. Not a very high reputation of the school, especially with Harvard and MIT right across the river.
8. If you are thinking about working in investment banking, Boston is not the best city, but many good asset management/advisory firms can be found here. But still, you can always find a job in New York if you want to work in investment banking.

In conclusion, I highly recommend this program. I had awesome, talented classmates, high-quality courses and many impressive job opportunities I had chances to explore. Also, I feel that the program is continuously improving. The program is carefully listening to the feedbacks from graduates to upgrade its value.
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S
Program is hard and I mean it. Even if you were great in undergrad, you probably won't be here. Mostly theoretical math with a good deal of coding. It's difficult to code since they don't teach it well, and you have to rely on others to do it for you. Coding is a major skill to possess if you want to be a quant, you need to know C++ and R for starters; the more the better. If you are a computational math person, don't come here; this is strictly for theoretical mathematicians. A few people dropped out because of the theoretical nature of everything. Didn't receive internship. Made it difficult for securing full-time employment, but found a job, not to my liking in risk management. I don't know of anyone in my program that became a quant. Most people got into risk management, or asset management, or portfolio management, etc. Only 3 or 4 folks were good enough to go for the prized PhD, which I think is the gateway to be a quant. A MS in math finance is most likely not going to lend you your dream job: a quant.
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