MSc in Financial Engineering in Hoboken United States | Stevens Institute of Technology

Apply quantitative methods to tackle intricate financial challenges, empowering you to deliver lasting value throughout your professional journey.
Where Mathematics Meets Business: Born in Stevens' mathematics department, our program maintains exceptional mathematical precision. Since its 2018 relocation, our alumni have grown even more sought-after. Their dual expertise in business language enables them to spot emerging opportunities and enhance strategic choices.

Personalized Curriculum: Tailor your studies to align with professional aspirations through specializations in investment banking/valuation, financial analytics/risk, wealth management, or certified financial planning. We continuously refresh our course offerings to deliver cutting-edge knowledge and skills.

Industry-Standard Technologies: Master the same advanced tools used by Wall Street and international financial institutions, gaining a decisive career advantage. Our focus on practical implementation prepares graduates to excel in fast-paced finance positions.

At the Center of Financial Innovation: Stevens' proximity to New York City - the world's financial hub - grants exceptional access to industry pioneers, networking forums, and authentic finance exposure. This prime location gives students a distinct edge when launching careers in global finance.

Pioneering Fintech Development: Through Stevens' partnership with Rensselaer Polytechnic Institute (RPI), the NSF-funded CRAFT initiative stands as the first fintech-focused IUCRC. This groundbreaking center allows students to explore cutting-edge financial technology research while connecting with academic and industry leaders.

Mastering Learning Strategies: Acquire transformative meta-learning capabilities through our progressive curriculum, including the distinctive FE800 course that sharpens research skills, communication techniques, and solution-focused approaches. By learning to rapidly deconstruct complex problems into data-informed solutions while understanding cognitive patterns, motivational drivers, and decision-making frameworks, you'll develop the meta-learning perspective essential in today's digital landscape.