Douglas Meadows, Head, School of Mathematical Sciences
(585) 475-5129, dsmsma@rit.edu
Program overview
The applied statistics program provides students with a solid foundation in mathematical and statistical principles, experience in the application of statistics, thorough knowledge of computers and statistical software, and the skills to communicate the results of a statistical analysis. The demand for graduates with this type of preparation is precipitated by the recognition of business, industry, and government that a large number of problems can be analyzed.
Graduates of the program collaborate with specialists in both scientific and non-technical areas to design and conduct experiments and interpret the results. Application areas include product designs, quality control, marketing, customer satisfaction, and actuarial sciences.
Curriculum
Applied statistics, BS degree, typical course sequence (quarters)
| Course | Qtr. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| 1016-210, 211 | Mathematics and Statistics Seminar | 2 |
| 1016-281, 282, 283 | Project-Based Calculus I, II, III | 12 |
| 1016-265 | Discrete Math I | 4 |
| 1016-260 | Statistical Computing with Excel and Minitab | 2 |
| 4003-212 or 4003-241 | Computer Science Option: | 4 |
| Science Electives | 12 | |
| University-wide Electives | 2 | |
| Liberal Arts* | 8 | |
| 1105-051, 052 | First-Year Enrichment | 2 |
| Wellness Education† | 0 | |
| Second Year | ||
| 1016-305 | Multivariable Calculus | 4 |
| 1016-306 | Differential Equations | 4 |
| 1016-351 | Probability | 4 |
| 1016-352 | Applied Statistics | 4 |
| 1016-399 | Co-op Seminar | 0 |
| Mathematics Elective† | 4 | |
| 0307-442 | Statistical Computing | 4 |
| 1016-331 | Linear Algebra I | 4 |
| Choose one of the following courses: | 4 | |
| 1016-358 | Statistical Quality Control | |
| 1016-457 | Research Sampling Techniques | |
| 0502-444 | Technical Writing | 4 |
| Liberal Arts* | 16 | |
| Third Year | ||
| 1016-432 | Linear Algebra II | 4 |
| 1016-354 | Regression Analysis | 4 |
| 1016-355 | Design of Experiments | 4 |
| Mathematics Elective† | 4 | |
| Liberal Arts* | 8 | |
| General Education Electives | 8 | |
| 1016-499 | Cooperative Education (optional)§ | Co-op |
| Fourth Year | ||
| 1016-454 | Nonparametric Statistics | 4 |
| Mathematics Electives† | 12 | |
| University-wide Electives | 6 | |
| General Education Electives | 6 | |
| Liberal Arts* | 4 | |
| 1016-499 | Cooperative Education (optional)§ | Co-op |
| Fifth Year | ||
| 1016-451, 452 | Mathematical Statistics I, II | 8 |
| 1016-555 | Statistics Seminar | 4 |
| Mathematics Elective‡ | 4 | |
| General Education Electives | 8-12 | |
| 1016-499 | Cooperative Education (optional)§ | Co-op |
| Total Quarter Credit Hours | 188 | |
* Please see Liberal Arts General Education Requirements for more information.
† Please see Wellness Education Requirement for more information.
‡ Up to 16 quarter credits of mathematics electives may be chosen from the applied mathematics application areas.
§ This program can be completed in four years if the cooperative education option is omitted.
Applied statistics, BS degree, typical course sequence (semesters), effective fall 2013
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| MATH-181 | Project-Based Calculus I, P7-1 | 4 |
| MATH-199 | Math and Statistics Seminar WI | 1 |
| MATH-192 | Discrete Mathematics with Introduction to Proof (LAS elective) | 3 |
| First-Year Seminar F1 | 3 | |
| Introduction to Computer Science | 3 | |
| MATH-182 | Project-Based Calculus II P7-2 | 4 |
| Computer Science I | 4 | |
| Science I P5* | 3 | |
| Writing Seminar F2 WI | 3 | |
| Institute Elective | 3 | |
| Second Year | ||
| MATH-221 | Multivariable and Vector Calculus | 4 |
| MATH-251 | Probability and Statistics I | 3 |
| Science II P6 | 3 | |
| LAS P1 | 3 | |
| LAS P2 | 3 | |
| MATH-231 | Differential Equations | 3 |
| MATH-241 | Linear Algebra | 3 |
| MATH-252 | Probability and Statistics II | 3 |
| LAS P3 | 3 | |
| LAS P4 | 3 | |
| Third Year | ||
| MATH-431 | Real Variables I | 3 |
| MATH-341 | Advanced Linear Algebra | 3 |
| Program Elective 1 | 3 | |
| Program Elective 2 | 3 | |
| LAS Immersion 1 | 3 | |
| MATH-441 | Abstract Algebra I | 3 |
| MATH-411 | Numerical Analysis | 3 |
| Program Elective 3 | 3 | |
| Institute Elective 1 | 3 | |
| LAS Immersion 2 | 3 | |
| Fourth Year | ||
| MATH-421 | Mathematical Modeling WI | 3 |
| LAS Immersion 3 | 3 | |
| LAS Elective | 3 | |
| Program Elective 4 | 3 | |
| Program Elective 5 | 3 | |
| LAS Elective | 3 | |
| Program Elective 6 | 3 | |
| Program Elective 7 | 3 | |
| LAS Elective 9 | 3 | |
| Institute Elective 2 | 3 | |
| Total Semester Credit Hours | 122 | |
*Students will satisfy this requirement by taking either a 3 or 4 cr lab science course. If a science course consists of separate lecture and laboratory sections, the student MUST take both the lecture and lab portions to satisfy the requirement. The lecture alone will not fulfill the requirement.
Accelerated dual degree option
Students may be interested in combining the BS in applied statistics with an MS in applied and computational mathematics for an accelerated option that allows them to earn both degrees following one year of graduate study. A BS in applied statistics and an MS in quality and applied statistics may also be earned through a dual degree option.
Applied statistics, BS degree/Applied computation mathematics, MS degree, typical course sequence (semesters), effective fall 2013
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| MATH-199 | Mathematics and Statistics Seminar I WI | 1 |
| MATH-181 | Project-Based Calculus I P7-1 | 4 |
| LAS P1 | 3 | |
| First-Year Seminar F1 | 3 | |
| MATH-192 | Discrete Mathematics with Intro to Proof | 3 |
| Writing Seminar F2 WI | 3 | |
| MATH-182 | Project-Based Calculus II P7-2 | 4 |
| CSCI-101 | Principles of Computing | 3 |
| STAT-155 | Bio Statistics | 3 |
| LAS P2 | 3 | |
| Second Year | ||
| MATH-221 | Multivariable and Vector Calculus | 4 |
| MATH-251 | Probability and Statistics I | 3 |
| LAS Science 1* P5 | 3 | |
| Science Lab | 1 | |
| LAS P3 | 3 | |
| LAS P4 | 3 | |
| CQAS-511 | Statistical Software | 3 |
| MATH-241 | Linear Algebra I | 3 |
| MATH-252 | Probability and Statistics II | 3 |
| LAS Immersion I | 3 | |
| LAS Science 2* P6 | 3 | |
| Science Lab | 1 | |
| Third Year | ||
| STAT-345 | Nonparametric Statistics | 3 |
| STAT-325 | Design of Experiments WI | 3 |
| MATH-611 | Numerical Analysis | 3 |
| LAS Immersion 2 | 3 | |
| Institute Elective 1 | 3 | |
| STAT-305 | Regression | 3 |
| Program Elective 1 | 3 | |
| Program Elective 2 | 3 | |
| Institute Elective 2 | 3 | |
| LAS Immersion 3 | 3 | |
| Fourth Year | ||
| STAT-405 | Mathematical Statistics I | 3 |
| STAT-415 | Statistical Sampling | 3 |
| MATH-651 | Combinatorics and Graph Theory I | 3 |
| LAS Elective | 3 | |
| LAS Elective | 3 | |
| STAT-406 | Mathematical Statistics II | 3 |
| STAT-445 | Statistics Seminar WI | 3 |
| MATH-605 | Stochastic Processes | 3 |
| LAS Elective | 3 | |
| LAS Elective | 3 | |
| Fifth Year | ||
| MATH-xxx | Concentration Core | 3 |
| MATH-xxx | Concentration Core | 3 |
| MATH-xxx | Graduate Elective | 3 |
| MATH-799 | Thesis | 4 |
| MATH-601 | Methods of Applied Math. | 3 |
| MATH-xxx | Concentration Core | 3 |
| MATH-xxx | Graduate Elective | 3 |
| MATH-799 | Thesis | 5 |
| Total Semester Credit Hours | 150 | |
*Students will satisfy this requirement by taking either a 3 or 4 cr lab science course. If a science course consists of separate lecture and laboratory sections, the student MUST take both the lecture and lab portions to satisfy the requirement. The lecture alone will not fulfill the requirement.