Cost & earnings at New York Institute of Technology What students borrow here, and what they go on to earn
Management Sciences graduates earn a median $87,604 Across 365 US programmes, two years after finishing
See the degree grade →The Master’s in Management Sciences and Quantitative Methods at New York Institute of Technology is a practice-oriented programme that combines advanced mathematical, statistical and computational techniques with management theory to support data-driven decision making. It suits graduates and early-career professionals who want to apply quantitative tools to solve business, operations and policy problems across industry sectors.
This master’s programme develops core quantitative skills and their application to management problems. You will study probability and statistical inference, multivariate analysis and econometrics, optimisation and linear programming, stochastic processes and simulation, and decision analysis. Coursework typically includes modules in data analytics and machine learning for management, forecasting and time series analysis, supply chain and operations modelling, and programming for quantitative methods (for example Python or R).
The curriculum combines compulsory core courses with a selection of electives and a culminating applied project or thesis. Teaching methods emphasise hands-on problem solving: students work with real datasets, use industry-standard software for optimisation and simulation, and complete case studies and group projects that mirror organisational decision problems. There is often an option to undertake an internship or an applied practicum with a partner organisation.
Applicants should normally hold a recognised bachelor’s degree. Degrees in business, economics, mathematics, statistics, engineering, computer science or related quantitative fields are typical, but applicants from other backgrounds with substantial quantitative coursework or relevant professional experience are also considered. Admissions commonly look for a solid foundation in calculus and linear algebra, introductory probability or statistics, and some programming or data-analysis experience.
Applications usually include an academic transcript, a current résumé, a personal statement outlining objectives and relevant experience, and one or more letters of recommendation. Standardised tests (such as the GRE) may be optional or recommended depending on academic background. International applicants must demonstrate English proficiency through recognised tests unless they qualify for an exemption.
Graduates acquire quantitative modelling, data analysis and decision-support skills that are in demand across many sectors. Typical career paths include management consultant (quantitative/operations focus), operations or supply chain analyst, data analyst/business intelligence analyst, risk analyst, pricing or revenue management analyst, and roles in logistics, finance, healthcare analytics and public policy. The programme also provides a foundation for further study at doctoral level in management science, operations research, statistics or related disciplines.
Employers recruit from consulting firms, financial institutions, technology companies, healthcare providers, logistics and manufacturing firms, and government agencies. Graduates are equipped to translate model results into actionable recommendations and to communicate technical findings to non-technical stakeholders.
New York Institute of Technology offers a practical, career-focused approach with faculty who combine academic expertise and industry experience. Small class sizes support close interaction with instructors and collaborative project work. Students benefit from access to computing resources and software used in quantitative practice, and opportunities for applied projects with industry and public-sector partners.
The institute’s location and professional networks provide connections to regional employers and internship possibilities. Career services and academic advising help students plan applied learning experiences and transition into quantitative management roles. The programme’s balance of rigorous methodology and real-world application prepares graduates to deliver data-driven solutions in complex organisational settings.
Shortlist scholarships and plan your application — free guidance from our advisors.