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Operations Research and Information Engineering M.Eng. (Cornell NYC Tech)

Field of Study

Operations Research and Information Engineering

Program Description

*NOTE, This degree is under the jurisdiction of College of Engineering, not the Graduate School

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 Information

Website: http://tech.cornell.edu/programs/masters-programs/
Email: admissions@tech.cornell.edu

Cornell Tech 
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

Tuition

2018-2019: $54,584

Application Requirements and Deadlines

Application Deadlines:

For Cornell Tech Master of Engineering Application Deadlines please visit: https://tech.cornell.edu/admissions/meng-application/

Requirements Summary:

  • 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
    • GRE general test
    • Personal Statement
    • Two letters of recommendation

 

For general questions regarding the admissions process, please send an email to admissions@tech.cornell.edu.

To apply, visit http://tech.cornell.edu/admissions

Learning Outcomes

  • 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