Operations Research and Information Engineering M.Eng. (Cornell NYC Tech)
Field of Study
Note: The concentrations noted below are only applicable for students enrolled in the Ithaca-based Operations Research and Information Engineering, M.Eng. program.
The one year M.Eng. in Operations Research and Information Engineering is a year-long immersive program led by faculty who are actively shaping the future of big data. ORIE students master the intricacies of business analytics, optimal decision-making and machine learning. You'll gain commercial context for your technical expertise through projects carried out in conjunction with tech giants and start-up companies.
Contact InformationWebsite: http://tech.cornell.edu/programs/masters-programs/
2 West Loop Road
New York, NY 10044
Concentrations by Subject
- applied operations research
- data analytics
- financial engineering
- information technology
- manufacturing and industrial engineering
- strategic operations
Application Requirements and Deadlines
For Cornell Tech Master of Engineering Application Deadlines please visit: https://tech.cornell.edu/admissions/meng-application/
Ideal candidates have 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, and one course on programming before applying. For information on the M.Eng. program in New York City, please visit: https://tech.cornell.edu/programs/masters-programs.
- all Graduate School Requirements, including the TOEFL or IELTS Exam for Non-Native English Applicants
- The GRE General Test is not required and will not be accepted for admission to the Master of Engineering programs at Cornell Tech.
- Personal Statement
- Two letters of recommendation
For general questions regarding the admissions process, please send an email to firstname.lastname@example.org.
To apply, visit http://tech.cornell.edu/admissions
Mastery and Application of Core Disciplinary Knowledge
Problem Formulation, Organization and Planning of the Solution Process
Collaborative Problem Solving and Issue Resolution
Communication of Knowledge, Ideas and Decision Justification
Self-directed Learning and Professional Development