Overview
Cornell University's Master’s in Operations Research and Information Engineering (Cornell Tech) will provide you with the mathematical modeling and large-scale computation skills you need to turn heaps of data into effective business decisions, while gaining the necessary business background to put these decisions in context.
Key Facts
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.
Who should apply?
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.
Programme Structure
Courses included:
- Optimization Methods
- Probabilistic Analysis
- Machine Learning
- Data Science
- Modeling Under Uncertainty
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Ithaca, United States
Disciplines
Operations Research View 37 other Masters in Operations Research in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- To obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residents71266 USD / year≈ 71266 USD / year - Out-of-State71266 USD / year≈ 71266 USD / year
-
Domestic
Applies to youIn-State71266 USD / year≈ 71266 USD / year
Living costs
Ithaca
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Operations Research and Information Engineering (Cornell Tech).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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