Cornell Tech’s ORIE Masters combines Cornell University’s academic rigor with the energy and opportunity that come with studying in the heart of New York’s tech start-up community. Led by faculty who are actively shaping the future of Big Data, you’ll master the intricacies of optimal decision-making and machine learning. In parallel with your academic technical courses, you will also complete Studio courses—an essential component of every Cornell Tech program. These courses focus on preparing you for innovation within major tech companies or entrepreneurship within startup ventures. In cross-disciplinary teams, you’ll work with business, law, and other Cornell Tech students to create your own startup as well as develop usable solutions for real corporations. In the process, you’ll develop the business savvy and communication skills—as well as peerless technical know-how—that have made previous graduates prime recruiting targets of companies like Google, Facebook, and numerous startups.
Cornell Tech gave me the skills and confidence I needed to pursue a career in product management and data-driven decision making.”
Cornell Tech’s ORIE Masters is ideal for students with a passion for using data-derived insights to shape business decisions. The technical requirements are that you have completed one course on linear algebra, one course on intermediate-level probability and statistics, one course on calculus, and one course on programming before applying.
Cornell Tech offers another Masters degree in Data Science & Decision Analytics (DSDA). As is the case with all Masters programs at Cornell Tech, both ORIE and DSDA programs have an entrepreneurial focus, but ORIE emphasizes the intersection of optimization, machine learning and probabilistic analysis with business, whereas DSDA emphasizes the intersection of optimization, machine learning and probabilistic analysis with computing.
A Master of Engineering in Operations Research and Information Engineering is also offered on Cornell’s Ithaca campus, with a focus on building operations research-related math and engineering skills, rather than Cornell Tech’s more entrepreneurial approach to developing mathematical modeling skills to inform business decisions. Learn more.
Individuals who are interested in the Financial Engineering Concentration and Cornell Financial Engineering Manhattan (CFEM) will need to apply to the Ithaca-based Operations Research program and should visit https://www.orie.cornell.edu/orie/cfem to learn more.
Unlike the Ithaca-based ORIE Masters program, Cornell Tech does not offer a third semester option for their ORIE Masters students.
Technical Topics Covered
Optimization Methods
Probabilistic Analysis
Machine Learning
Data Science
Modeling Under Uncertainty
Studio Topics Covered
Entrepreneurship
Intellectual Property
Law for Non-Lawyers
Leadership for Digital Transformation
Product Management
Startup Funding & Pitching
Featured course
Credits 3
Graduates of the ORIE program go off to careers in:
And work in industries including:
For more information on employment outcomes visit our Career Management webpage
A Master of Engineering in Operations Research and Information Engineering (ORIE) is also offered on Cornell’s Ithaca campus, with a focus on building traditional math, scientific, and engineering skills, rather than Cornell Tech’s more data-driven approach to teaching mathematical and modeling skills to inform strategic decisions.
Experience the Cornell Tech culture with a visit to our NYC campus.
Cornell Tech’s employers include a wide range of mostly tech companies such as Google, Amazon, Facebook, Uber, Microsoft, Bloomberg, Datadog, Intersection, Oscar Health, ZocDoc and many others.
Cornell Tech was founded to advance technology as a means to a better quality of life for all communities in New York City, across the nation, and around the world. Our best work results in ethical, inclusive, accessible technology for all users, especially the underserved and underrepresented. Vital to that mission is building a diverse, equitable, and inclusive community of students, faculty, and staff. We seek to build things with — not just for — real people and believe in the power of participation and representation.
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