Master in Operations Research and Information Engineering
Businesses of all types and sizes are awash in data and hungry for skilled analysts and information scientists who can use that data to make insightful, real-time business decisions. Cornell Tech's Master in Operations Research and Information Engineering (ORIE) will provide you with the mathematical modeling and data analysis skills you need to drive the decisions that improve customer satisfaction and operational efficiency.
Learn Where Rigor Meets Innovation
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 data modeling, machine learning, and predictive analytics. You'll gain commercial context for your technical expertise through classes in business and entrepreneurship. Working in cross-functional teams with your classmates—who will include ambitious young lawyers, engineers, marketers and product managers— you'll create your own businesses in the Startup Studio and develop real solutions for clients in the Product Studio program. In just one year, you'll graduate with the skills, experience, and network you need to help startups and established companies alike harness data to drive customer value.
Who Should Apply?
Cornell Tech's ORIE Masters is ideal for students with a passion for querying data and using data-derived insights to shape business decisions. The minimum technical requirements are that you have completed one course on optimization, one course of intermediate-level probability and statistics and one course on intermediate-level programming before applying.
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.
- Optimization Methods
- Probabilistic Analysis
- Machine Learning
- Data Science
- Modeling Under Uncertainty
This course covers algorithmic and computational tools for solving optimization problems with the goal of providing decision-support for business intelligence. We will cover the fundamentals of linear, integer and nonlinear optimization. We will emphasize optimization as a large-scale computational tool, and show how to link programming languages, such as Python, Java, and C++, with optimization software, such as Gurobi and CPLEX, to develop industrial-strength decision-support systems. We will demonstrate how to incorporate uncertainty into optimization problems. Throughout the course, we will cover a variety of modern applications and show how to deploy large-scale optimization models.
Careers in the Field
- Data Scientist
- Product Manager
- Startup Founder
What Your Schedule Might Look Like
In the fall you’ll take morning classroom courses in Optimization Methods, Modeling Under Uncertainty, and Applied Machine learning. You’ll spend afternoons working on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio.
In the spring you’ll take morning classroom courses in Service Systems & Online Markets and e-Logistics. You’ll also take one business and one tech elective. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management.
MEng Application Timeline
Cornell Tech offers three application rounds. Applicants are encouraged to submit their application when ready. We will consider applicants that apply in each application round. We review applications as we receive them.
The 2018-2019 application deadlines are as follows:
Round 1 - Wednesday, December 5, 2018 at 11:59 pm ET
Round 2 - Friday, February 15, 2019 at 11:59 pm ET
Following the Round 2 application deadline, the Admissions Committee will review applications on a rolling basis
To be considered, all applicants must provide the following in their online application:
You must submit a current résumé along with your application. With the use of LinkedIn, you will have the option to auto-populate the employment and education information listed within your online professional profile. Please note, any information that is auto-populated from LinkedIn can be edited.
Here at Cornell Tech, you will be part of an environment where creativity, technical depth and leadership share seats at the table. We value expressions of who you are and what you add to this formula. Please submit a one- to two-page statement that describes your interest in this program at Cornell Tech. Your submission should highlight personal experiences that demonstrate your creativity, leadership and technical abilities.
In particular, feel free to elaborate on technical projects you have completed, their creative and technical aspects; any entrepreneurial or leadership experiences; your professional career goals; the benefit you envision being part of the tech ecosystem in New York City; and, why this program is the one for you.
A letter of Recommendation
Recommenders should be faculty members or other individuals who know the applicants professionally and have seen them play a major role in substantial projects. Recommendations must be submitted online.
The GRE is required for admission to Cornell Tech. All official test scores should be reported directly to Cornell University. Students who have received (or will have received) a Bachelor degree from Cornell University are exempt from the GRE requirement for the Master of Engineering program. The GRE institution code for Cornell is 2098. Please be consistent in the spelling of your name on both your application and test score report.
Transcripts from each previously attended college or university are required and must be uploaded online with the application. Admitted students will be required to submit an official transcript directly to Cornell University Graduate School prior to matriculation.
A nonrefundable application fee of $95 must be submitted with the online application.
In addition to the aforementioned program requirements, international applicants must provide a certified English translation of transcripts if the original language is not English. Successful international applicants will have received a baccalaureate degree from a college or university of recognized standing.
Applicants must also demonstrate proficiency in the English language by taking the Test of English as a Foreign Language (TOEFL). Official TOEFL scores must be sent to the Cornell University Graduate School. The institution code is #2098. Cornell’s official minimum sub-scores for each element of the TOEFL are as follows:
- Writing: 20
- Reading 20
- Listening 15
- Speaking 22
The TOEFL requirement may be waived if the applicant meets at least one of these criteria:
- Is a native citizen of the United States, Australia, Canada (except Quebec), Ireland, New Zealand or the United Kingdom.
- Has studied in full-time status for at least two academic years within the last five years in the United States, Australia, Ireland, New Zealand, the United Kingdom, or with English language instruction in Canada or South Africa. You must submit a transcript that shows you have attended college in one of these approved locations.
Program taught in: