Cornell Engineering : Minor in Engineering Statistics

Minor in Engineering Statistics

Offered by: Department of Statistical Science and School of Operations Research and Industrial Engineering
Administered by: ORE undergraduate Major consultant, 202 Rhodes Hall
Eligibility: Students in all Majors except Operations Research and Engineering may participate in this minor.
Educational Objectives: This minor requires the student to develop expertise in engineering statistics. The goal of the program is to provide the student with a firm understanding of statistical principles and engineering applications and the ability to apply this knowledge in real-world situations.

Requirements
At least six (6) courses (minimum of 18 credits), chosen as follows:

I. Required Courses

ENGRD 270	Basic Engineering Probability and Statistics
OR&IE 360	Basic Engineering Probability and Statistics II
or ECE 310	Introduction to Probability and Random Signals

II. Four courses (11 credits minimum) taken from the following list*

OR&IE 361	Introductory Engineering Stochastic Processes I
or ECE 411	Random Signals in Communications/Signal Processing
OR&IE 476	Applied Linear Statistical Models
OR&IE 576	Regression
OR&IE 563	Applied Time Series Analysis
OR&IE 575	Experimental Design
OR&IE 577	Quality Control
OR&IE 580	Simulation Modeling and Analysis
MATH 472	Basic Probability
or BTRY 409	Theory of Statistics
BTRY 602	Statistical Methods II
BTRY 603	Statistical Methods III
or ILRST 411	Statistical Analysis of Qualitative Data
or
ILRST 310	Statistical Sampling
ILRST 314	Graphical Methods for Data Analysis
ILRST 410	Techniques of Multivariate Analysis

Academic Standards
At least C- in each course in the minor and a GPA >2.0 in all courses in the minor.

Note: A student may not receive credit for more than one minor offered by the School of Operations Research and Industrial Engineering.
*Other course options approved by petition in advance. The student should be aware that some of these courses require others as prerequisites. All these courses are cross-listed under the Department of Statistical Science.

[ Return to Contents ]