- Headline
- High ROI Only for Motivated Students Stevens MFE 2025 Review
- Graduation Class
- 2026
Reviewed by Verified Member
The admissions committee generally does a solid job selecting capable candidates, and the curriculum itself is strong. I genuinely learned a lot here. The only thing I wish was different is the overall competitiveness of the cohort—if the classroom environment had been more consistently strong, this program would have been even better.
The professors are knowledgeable and experienced, but this is not a program where you can sit back and expect everything to be handed to you. You need to ask the right questions and actively participate. Many undergrads in Stevens QF are extremely sharp, so interacting with them can help you understand where you personally need to improve.
A big warning: people who come expecting an “easy U.S. master’s” get overwhelmed very quickly. The content is math-heavy, coding-heavy, and dense. A lot of students end up relying on AI tools for assignments and projects. Don’t do that. Use AI only as an assistant (debugging, explanations, intuition), not as a solution generator. You’ll be cheating yourself in the long run.
One thing I feel strongly about: self-study is the only way to truly extract the value and ROI from this degree. If you’re a complete beginner in math, coding, or quant finance, this program will feel extremely intense unless you put in serious work outside of class.
There are also some structural limitations. A single 2.5-hour class per week makes it hard for professors to cover everything in depth. Many lectures feel compressed, and difficult topics get skimmed over because of time constraints. I really wish the program had:
* Recitation classes like in undergrad
* More problem sheets or practice sets
* Two classes per week per course instead of one
* More structured quant interview prep
* More consistency in course difficulty across sections and instructors
Another reality: *18 months is not enough* to deeply cover all the math, coding, stochastic calculus, derivatives pricing, and quant interview theory required in the industry. So don’t be afraid to ask professors if something feels unclear. Whether you lack the background or the topic moved too fast, they will help you or share resources. And if it still isn’t enough, the TAs are usually very supportive.
On the career side, it’s important to set expectations clearly. **More companies open roles for Stevens undergrads than for graduate students**, especially in quant and technical roles. Career services are, honestly, below average. They provide basic support, but you cannot rely on them for meaningful recruiting outcomes. Networking, alumni outreach, and building strong projects matter far more.
The overall student quality is mixed—some exceptional people, but many students are underprepared or lack the motivation expected at a quant-focused graduate program.
Overall, Stevens MFE is a good program if you are self-driven. If you rely only on classes, expect professors to spoon-feed content, or hope career services will secure your job, you might struggle. But if you proactively study, ask questions, build projects, and push yourself, the program can absolutely deliver strong value and prepare you for quant, QR, QD, or data-heavy finance roles.
- Recommend
- Yes, I would recommend this program
- Students Quality
-
2.00 star(s)
- Courses/Instructors
-
3.00 star(s)
- Career Services
-
2.00 star(s)