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| Prof. Tatiana Apanasovich is one of the ORIE faculty with a research interest in statistics. |
Minor in Engineering Statistics
The School of Operations Research and the Department of Statistical Science at Cornell offer a Minor in Engineering Statistics. Open to all students except majors in ORE, the program requires students to develop expertise in engineering statistics. The goal of the program is to provide students with a firm understanding of statistical principles and engineering applications and the ability to apply this knowledge in the real world.
Requirements:
At least six (6) courses (minimum of 18 credits) from the following:
Required Courses:
| ENGRD 2700 | Basic Engineering Probability and Statistics |
| ORIE 3500 or ECE 3100 | Basic Engineering Probability and Statistics II or Introduction to Probability and Random Signals |
Four Courses (11 credits minimum)*
| ORIE 3510 or ECE 4110 | Introductory Engineering Stochastic Processes I or Random Signals in Communications/Signal Processing |
| ORIE 4580 | Simulation Modeling and Analysis |
| ORIE 4710 | Applied Linear Statistical Models |
| ORIE 4711 | Experimental Design |
| ORIE 4712 | Regression |
| ORIE 5550 | Applied Time Series Analysis |
| ORIE 5770 | Quality Control |
| MATH 4720 or BTRY 4090 | Basic Probability or Theory of Statistics |
| BTRY 6020 | Statistical Methods II |
| BTRY 6030 or ILRST 4110 | Statistical Methods III or Statistical Analysis of Qualitative Data |
| ILRST 3100 | Statistical Sampling |
| ILRST 4100 | Techniques of Multivariate Analysis |
Academic Standards
Students are required to maintain at least a C- in each course in the minor and a GPA of 2.0 or better in all courses in the minor.
Students should be aware that some of these courses have prerequisites. These courses are cross-listed under the Department of Statistical Science.