Latest reviews

What I like
1. Great alumni networking event and high industry reputation, which lead to abundant interview resources
2. mock interviews and presentations from alumni to help lock in internship and full-time jobs
3. experienced industry leaders as instructors, providing insights and opportunities in industry.
4. fancy facilities and group event to create self-belonging

What I don't like and should be improved
1. More structured website for alumni networks instead of just names to connect on LinkedIn or from alumni events
2. More super sophisticated math and programming courses to boost the hard skills
3. more collaboration with other similar programs in UofT to share some common resources

I came from a strong mathematical background and wanted to move closer to the finance world. The MSc in Quantitative Finance at Bayes Business School was an excellent bridge between the two. The programme offered a good mix of technical and financial courses — subjects like Stochastic Modelling and Quantitative Programming were complemented by more finance-oriented modules such as Derivatives, Portfolio Management and Asset Pricing.

The balance between theory and practical applications was well-structured, and the professors were extremely knowledgeable and supportive. The amount of study material provided was impressive, allowing students to go well beyond the lectures. The class size was around 20–25 people, which made it easier to know your classmates and work closely with professors — though some might prefer a larger cohort.

Overall, I would highly recommend this programme, especially for students with a mathematical background who want to specialise in quantitative finance. The only downside is that the career service is more focused on corporate finance roles, so finding quant-related opportunities often requires personal effort and networking.

Overall, I really enjoyed the JHU Financial Math program. The emphasis on coursework is great — there are plenty of related classes to choose from, ranging from fundamental math and computer science to advanced topics like market microstructure, financial derivatives, and deep learning. Students can easily fulfill graduation requirements in 3 or 4 semesters, which provides flexibility for job hunting. For example, it’s possible to take only 3 courses in the fall to leave more time for interview preparation, which I found very helpful.

There are also some excellent professors — like John Miller, Hélyette Geman, and Roza Galeeva — who frequently discuss common interview questions and real-world applications instead of just going through slides, which really adds value.

As for what could improve, the career service is okay but not exceptional. The department organizes some trips to New York City for career fairs and alumni networking events, but given the limited number of hedge funds in Baltimore, the main local advantage is in energy trading (e.g., Constellation). The school provides basic help with resumes, networking, and mock interviews, but there are fewer than 10 direct referral opportunities each year — most job prospects rely on networking and alumni connections.

The current program director is John Miller, and he’s super helpful.

The University of Waterloo Quant Finance Master's program is an excellent program for someone who is interested in learning rigorous maths. The program focuses on statistics, applied maths, and relevant coding skills required to succeed in industry.

At University Waterloo, in the 2 years that it took to do my Masters (you can normally do faster in just 4 trimesters), I've learned more hard skills than in my 4 years of undergrad in business school. Waterloo will really push you to your limit, but the result will be worth it. Classes start off with classes focusing on stochastic calculus, and advanced statistics. For many students without prior background, they will struggle at first because Waterloo doesn't hold your hand at all. My first trimester, I was just barely passing, and getting only around 6 hours of sleep a night. By the end of your time at Waterloo, you'll find that the classes get easier, because many of the same concepts will be retaught/built upon. I like this teaching philosophy, because this way, you'll be given many chances to really remember what you've learned.

In general, the professors at Waterloo are genuinely nice, and will go through the extra effort to help you. Of course, there are some professors who care mostly about their own research, and will make it known that they dislike teaching. However, the number of excellent professors greatly outnumbers the number of "mean" professors.

For job placements, Waterloo is the number 2 program in Canada for quant finance. However, the job market during the time I was there was not great. Don't expect that everyone will place at prestigious big 5 bank in Canada. In my cohort of around 18 people, only around 4 or 5 classmates interned at a big bank. The 100% placement rate for co-op is also a bit misleading. If you cannot find a co-op, you simply start writing your Master's Research Paper over the summer trimester.

I wouldn't recommend U Waterloo for someone is primarily focused on finding a job in the US. The alumni network is mostly Canada based, and students are largely responsible for finding their own co-ops.

Overall, for just the quality of the education, and at the unbeatable price (when compared to US programs), I would strongly recommend Waterloo.

The NYU Math in Finance program is highly selective and academically rigorous. The coursework is extremely theory-oriented — you’ll learn a lot of deep quantitative and mathematical finance concepts. However, it’s not a career-training program in the traditional sense.

If your goal is job placement, you’ll need to prepare most of your interview and practical skills on your own. The program provides two dedicated career coaches who help with behavioral interviews and networking, but technical preparation (for quant, data, or trading roles) is largely self-driven.

You should only choose this program if you have a strong academic foundation and genuine interest in the theory of finance, as the courses and assignments are time-consuming and demanding. On the positive side, the small cohort size (around 30 students) creates a close and supportive learning environment.

My experience with the program has been overwhelmingly positive. The coursework is comprehensive and prepares you very well for quant finance interviews. Furthermore there are plenty of events and opportunities to network with industry practitioners. Our professors are leading researchers in the field and it's a great privilege to work with and be taught by them. The program has a very strong reputation in Canada and will massively boost the resume of anyone looking to work here. The faculty is very well connected with the industry and provides you with opportunities to apply for roles that are not publicly available. Coming from a math background I don't think I would have been able to break into the industry without this program. Waterloo and UofT are considered the two best programs in Canada and Waterloo comes at a fraction of the tuition cost, so for me it was a clear winner. I recommend this program to anyone looking to work in quant finance in Canada.

I decided to take this course because I plan to pursue a Master’s in Financial Engineering in the U.S. and eventually work and live there. Since Baruch’s MFE program is one of the top programs in this field, I wanted to start preparing early by building a strong skill in C++ for quantitative finance.

Amazing program! I received so much help from Dan and all the alumni. They're a group of wonderful people that go to great lengths to help their students. I'm also impressed by how much help that alumni provide in my search for a full-time job, not just from Dan and faculty - whether it's advice for technical, soft skill, or referrals, they are always happy to talk things out!

I cannot fully recommend this program, despite its strong academic foundation. While the school has a solid reputation and the professors are genuinely supportive and knowledgeable, there’s a significant gap when it comes to career services and job placement assistance.
The career support resources are insufficient, and students are largely left to navigate the job market on their own. Many graduates struggle to secure full-time positions even after completing the program, which speaks to the limited effectiveness of the career development services.
From a purely academic perspective, the program delivers quality education and the faculty truly care about student success in the classroom. However, if you’re looking for a program that will actively help you launch your career and provide robust job search support, you may want to consider other options or be prepared to be very proactive and self-directed in your job search.