The statistics minor provides an opportunity for students to deepen their technical background and gain further appreciation for modern mathematical sciences and the use of statistics as an analytical tool. The minor is closed to students majoring in applied statistics and actuarial science.
|MATH-181||Project-based Calculus I|
|MATH-182||Project-based Calculus II|
|Choose five of the following:|
|MATH-251||Probability and Statistics I|
|MATH-252||Probability and Statistics II|
|STAT-252||Probability and Statistics for Engineers II|
|STAT-305||Introduction to Regression Analysis|
|STAT-315||Statistical Quality Control|
|STAT-325||Design of Experiments|
|STAT-335||Introduction to Time Series|
|STAT-405||Mathematical Statistics I|
|STAT-406||Mathematical Statistics II|
|STAT-435||Statistical Linear Models|
Quarter Curriculum - For Reference Only
Effective fall 2013, RIT converted its academic calendar from quarters to semesters. The following content has been made available as reference only. Currently matriculated students who began their academic programs in quarters should consult their academic adviser for guidance and course selection.
The statistics minor provides an opportunity for students to deepen their technical background and gain further appreciation for modern mathematical sciences and the use of statistics as an analytical tool.
1016-281 Project-Based Calculus I
1016-282 Project-Based Calculus II
1016-283 Project-Based Calculus III (or equivalent)
To receive a minor in statistics, students must complete five courses from the list below and maintain a minimum GPA of 2.0. At least three of these courses must not be required by the student’s home program. All required courses must be taken in the School of Mathematical Sciences. Students may elect to take either 1016-352 or 1016-314 as part of the minor, but not both. Students may elect to take either 1016-345 or 1016-351 as part of the minor, but not both.
1016-314 Engineering Statistics I
1016-345 Probability and Statistics for Engineers
1016-352 Applied Statistics
1016-354 Introduction to Regression Analysis
1016-355 Design of Experiments
1016-358 Statistical Quality Control
1016-415 Statistical Analysis for Bioinformatics
1016-451 Mathematical Statistics I
1016-452 Mathematical Statistics II
1016-454 Non-parametric Statistics
1016-457 Research Sampling Techniques
1016-5xx Choices through advising