Operations Research & Information Engineering (ORIE-MEng)
Cornell University · Ithaca, United States
Cornell University · Ithaca, United States
Postgraduate · Engineering
Cornell University · Ithaca, United States
Operations Research and Information Engineering (ORIE) is the field of developing, evaluating, and applying tools for analyzing data to make better decisions. The field draws expertise from theoretical and applied mathematics, probability and statistics, data science, computer science, machine learning and artificial intelligence, systems engineering, and others. Example tools include mathematical models that optimize performance or cost, process simulations that identify complex relationships between system elements, and machine learning algorithms that help unlock the secrets hidden in troves of data.
Prerequisites dependent on concentration All applicants A standard engineering calculus sequence, including linear algebra (with eigenvalues and eigenvectors) and vector calculus. An introductory engineering probability and statistics course. An introductory computer programming course as well as an intermediate-level computer programming course in a general programming language such as C, C++, Java, or Python. Courses that entail programming applications, but where programming is not the primary focus are not acceptable substitutes. Courses in statistical modeling languages, such as SAS, are not acceptable substitutes. Additional Prerequisites for the Data Analytics concentration A two-semester sequence of calculus-based probability and statistics theory. Courses in which probability and statistical methods are used, but where theory is not the primary focus are not acceptable substitutes, nor are professional exam credentials (e.g., CFA, FRM). Additional Prerequisites for the Financial Engineering concentration A two-semester sequence of calculus-based probability and statistics theory. Courses in which probability and statistical methods are used, but where theory is not the primary focus are not acceptable substitutes, nor are professional exam credentials (e.g., CFA, FRM). An introductory finance course, covering topics such as financial instruments, risk-return...
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