Semester Requirements
Mihail Barbosu, Head, School of Mathematical Sciences
http://www.rit.edu/cos/sms/academics.html
Program overview
The applied statistics major provides students with a strong foundation in mathematical and statistical methodology, experience in its applications, a solid background in the use of statistical computing packages, and the skills to communicate the results of statistical analysis. This gives graduates an advantage in the fields of business, government, and industry, and also prepares them well for graduate studies.
Graduates will collaborate with specialists in both scientific and non-technical areas to design and conduct experiments and interpret the results. Application areas are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.
Curriculum
Applied statistics, BS 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 | LAS Perspective 7A: Project-based Calculus I | 4 |
| MATH-182 | LAS Perspective 7B: Project-based Calculus II | 4 |
| STAT-155 | Biostatistics | 3 |
| CSCI-101 | Principles of Computing | 3 |
| LAS Foundation 1: First Year Seminar† | 3 | |
| LAS Foundation 2: First Year Writing | 3 | |
| LAS Perspective 1, 2, 3 | 9 | |
| Wellness Education* | 0 | |
| Second Year | ||
| MATH-200 | Discrete Mathematics with Introduction to Proofs | 3 |
| MATH-221 | Multivariable and Vector Calculus | 4 |
| MATH-251, 252 | Probability and Statistics I, II | 6 |
| MATH-241 | Linear Algebra I | 3 |
| CQAS-511 | Statistical Software | 3 |
| LAS Perspective 4, 5, 6‡ | 9 | |
| LAS Immersion 1 | 3 | |
| Third Year | ||
| STAT-345 | Nonparametric Statistics | 3 |
| STAT-325 | Design of Experiments (WI) | 3 |
| STAT-305 | Regression Analysis | 3 |
| Program Electives | 9 | |
| LAS Immersion 2, 3 | 6 | |
| Free Electives | 6 | |
| Fourth Year | ||
| STAT-405, 406 | Mathematical Statistics I, II | 6 |
| STAT-415 | Statistical Sampling | 3 |
| STAT-445 | Statistics Seminar (WI) | 3 |
| Program Electives | 6 | |
| LAS Electives | 12 | |
| Total Semester Credit Hours | 121 | |
Please see New General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two Wellness courses.
† The First Year Seminar requirement is replaced by an LAS Elective for the 2013-14 academic year.
‡ Students will satisfy this requirement by taking either a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.
Accelerated dual degree option
Applied statistics, BS degree/Applied and computational 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, 182 | LAS Perspective 7A, 7B: Project-Based Calculus I, II | 8 |
| STAT-155 | Biostatistics | 3 |
| CSCI-101 | Principles of Computing | 3 |
| LAS Foundation 1: First Year Seminar† | 3 | |
| LAS Foundation 2: First Year Writing | 3 | |
| LAS Perspective 1, 2, 3 | 6 | |
| Wellness Education* | 0 | |
| Second Year | ||
| MATH-200 | Discrete Mathematics with Introduction to Proofs | 3 |
| MATH-221 | Multivariable and Vector Calculus | 4 |
| MATH-251, 252 | Probability and Statistics I, II | 6 |
| MATH-241 | Linear Algebra I | 3 |
| CQAS-511 | Statistical Software | 3 |
| LAS Perspective 4, 5, 6‡ | 12 | |
| LAS Immersion 1 | 3 | |
| Third Year | ||
| STAT-345 | Nonparametric Statistics | 3 |
| STAT-325 | Design of Experiments (WI) | 3 |
| STAT-305 | Regression Analysis | 3 |
| MATH-611 | Numerical Analysis | 3 |
| Program Electives | 6 | |
| LAS Immersion 2, 3 | 6 | |
| Free Electives | 6 | |
| Fourth Year | ||
| STAT-405, 406 | Mathematical Statistics I, II | 6 |
| STAT-415 | Statistical Sampling | 3 |
| STAT-445 | Statistics Seminar (WI) | 3 |
| MATH-651 | Combinatorics and Graph Theory I | 3 |
| MATH-605 | Stochastic Processes | 3 |
| LAS Electives | 12 | |
| Fifth Year | ||
| MATH-601 | Methods of Applied Mathematics | 3 |
| Concentration Core | 9 | |
| Graduate Electives | 6 | |
| MATH-799 | Thesis | 9 |
| Total Semester Credit Hours | 150 | |
Please see New General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two Wellness courses.
† The First Year Seminar requirement is replaced by an LAS Elective for the 2013-14 academic year.
‡ Students will satisfy this requirement by taking either a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.
Additional information
Options
Applied statistics actuarial science option: This option prepares students for careers in the actuarial field of modeling, measuring, and managing risk. The goal is to provide the statistical and mathematical foundation to help graduates enter and succeed in this demanding field. Student's curriculum is tailored with carefully selected courses in finance, economics, and forecasting.
Applied statistics biostatistics option: This option provides the necessary experience in applied statistics and the biological sciences so students may pursue a career as a biostatistician or advanced study in biostatistics. Students learn about the applications of statistics and biology, medicine, and public health, as well as applications in the rapidly growing field of bioinformatics through course work and opportunities for research with faculty.
Applied statistics quality science option: This option introduces students to statistical and nonstatistical aspects of the quality science from problem definition through solution implementation. Through elective courses, students may prepare to take the American Society for Quality (ASQ) Certified Process Analyst exam, which focuses on quality basics, problem solving and improvement, data analysis, and customer-supplier relations.
Minors
The flexibility of the applied statistics major also allows students to complete a science, liberal arts, or business minor or to create courses from various minors into a sequence tailored to your career aspirations.
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Click to view program requirements in the Quarter Calendar
Quarter Curriculum - For Reference Only
Effective fall 2013, RIT will convert 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.
Program overview
The applied statistics program provides students with a strong foundation in mathematical and statistical methodology, experience in its applications, a solid background in the use of statistical computing packages, and the skills to communicate the results of statistical analysis. This gives graduates an advantage in the fields of business, government, and industry, and also prepares them well for graduate studies.
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 are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.
Curriculum
Semester conversion
Effective fall 2013, RIT will convert its academic calendar from quarters to semesters. Each program and its associated courses have been sent to the New York State Department of Education for approval of the semester plan. For reference, the following charts illustrate the typical course sequence for this program in both quarters and semesters. Students should consult their academic advisers with questions regarding planning and course selection.
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-199 | Mathematics and Statistics Seminar I (WI) | 1 |
| MATH-181 | LAS Perspective 7A: Project-Based Calculus I | 4 |
| MATH-182 | LAS Perspective 7B: Project-Based Calculus II | 4 |
| MATH-192 | Discrete Mathematics with Introduction to Proof | 3 |
| STAT-155 | Biostatistics | 3 |
| CSCI-101 | Principles of Computing | 3 |
| LAS Foundation 1: First-Year Seminar | 3 | |
| ENGL-150 | LAS Foundation 2: Writing Seminar | 3 |
| LAS Perspective 1, 2 | 6 | |
| Wellness Education* | 0 | |
| Second Year | ||
| MATH-221 | Multivariable and Vector Calculus | 4 |
| MATH-251, 252 | Probability and Statistics I, II | 6 |
| MATH-241 | Linear Algebra I | 3 |
| CQAS-511 | Statistical Software | 3 |
| LAS Perspective 3, 4, 5, 6† | 12 | |
| LAS Immersion 1 | 3 | |
| Third Year | ||
| STAT-345 | Nonparametric Statistics | 3 |
| STAT-325 | Design of Experiments (WI) | 3 |
| STAT-305 | Regression Analysis | 3 |
| Program Electives | 9 | |
| LAS Immersion 2, 3 | 6 | |
| Free Electives | 6 | |
| Fourth Year | ||
| STAT-405, 406 | Mathematical Statistics I, II | 6 |
| STAT-415 | Statistical Sampling | 3 |
| STAT-445 | Statistics Seminar (WI) | 3 |
| Program Electives | 6 | |
| LAS Electives | 12 | |
| Total Semester Credit Hours | 121 | |
Please see New General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information.
† Students will satisfy this requirement by taking either a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.
Options
Applied statistics actuarial science option: This option prepares students for careers in the actuarial field of modeling, measuring, and managing risk. The goal is to provide the statistical and mathematical foundation to help graduates enter and succeed in this demanding field. Student's curriculum is tailored with carefully selected courses in other RIT colleges in finance, economics, and forecasting.
Applied statistics biostatistics option: This option provides students with the necessary experience in applied statistics and the biological sciences so students may pursue a career as a biostatistician or advanced study in biostatistics. Students learn about the applications of statistics and biology, medicine, and public health, as well as applications in the rapidly growing field of bioinformatics through course work and opportunities for research with faculty.
Minors: The flexibility of the applied statistics major also allows students to complete a science, liberal arts, or business minor or to create courses from various minors into a sequence tailored to your career aspirations.
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 applied statistics may also be earned through a dual degree option.