Statistics Major (B.S.)
https://ceps.unh.edu/mathematics-statistics/program/bs/statistics
This program prepares students for employment and/or graduate study in a variety of fields and research specializations in which statistical analysis and its applications play a critical role. In addition to its degree programs, the department has an active interest in the actuarial profession. Those interested in actuarial science should seek the advice of departmental coordinator of the actuarial program, Professor Linyuan Li.
Graduation Requirements
In all courses used to satisfy the requirements for its major programs, the Department of Mathematics and Statistics requires that a student earn a grade of C- or better and have an overall grade-point average of at least 2.00 in these courses.
| Code | Title | Credits |
|---|---|---|
| Required MATH Courses | ||
| MATH 425 | Calculus I | 4 |
| MATH 426 | Calculus II | 4 |
| MATH 445 | Mathematics and Applications with MATLAB | 4 |
| or CS 410P | Introduction to Scientific Programming/Python | |
| or CS 410C | Introduction to Scientific Programming/C | |
| MATH 527 | Differential Equations with Linear Algebra 1 | 4 |
| MATH 528 | Multidimensional Calculus 1 | 4 |
| MATH 531 | Mathematical Proof | 4 |
| MATH 539 | Introduction to Statistical Analysis | 4 |
| MATH 645 | Linear Algebra for Applications 1 | 4 |
| MATH 739 | Applied Regression Analysis | 4 |
| MATH 755 | Probability with Applications | 4 |
| MATH 756 | Principles of Statistical Inference | 4 |
| TWO approved MATH electives, selected in consultation with the major advisor (at least one at the 700-level) | 8 | |
| Select THREE of the following courses | 12 | |
| Advanced Statistical Methods for Research | ||
| Statistical Methods for Quality Improvement and Design | ||
| Design of Experiments I | ||
| Survival Analysis | ||
| Time Series Analysis | ||
| Design of Experiments II | ||
| Capstone: Select one of the following | ||
| MATH 797 | Senior Seminar | 4 |
| MATH 798 | Senior Project | 4 |
| MATH 799 | Senior Thesis | 2 or 4 |
| Total Credits | 74-76 | |
| 1 | MATH 525 Linearity I may be substituted for MATH 645. MATH 525 & MATH 526, Linearity, may be substituted for MATH 527, MATH 528, and MATH 645. |
| First Year | ||
|---|---|---|
| Fall | Credits | |
| MATH 425 | Calculus I | 4 |
| Discovery Course | 4 | |
| Discovery Course | 4 | |
| Discovery Course | 4 | |
| MATH 400 | Freshman Seminar | 1 |
| Credits | 17 | |
| Spring | ||
| MATH 426 | Calculus II | 4 |
| MATH 445 |
Mathematics and Applications with MATLAB or Introduction to Scientific Programming/C or Introduction to Scientific Programming/Python |
4 |
| ENGL 401 | First-Year Writing | 4 |
| Inquiry Course | 4 | |
| Credits | 16 | |
| Second Year | ||
| Fall | ||
| MATH 528 | Multidimensional Calculus | 4 |
| MATH 531 | Mathematical Proof | 4 |
| Discovery Course | 4 | |
| Discovery Course | 4 | |
| Credits | 16 | |
| Spring | ||
| MATH 527 | Differential Equations with Linear Algebra | 4 |
| MATH 539 | Introduction to Statistical Analysis | 4 |
| Discovery Course | 4 | |
| Writing Intensive Course | 4 | |
| Credits | 16 | |
| Third Year | ||
| Fall | ||
| MATH 645 | Linear Algebra for Applications | 4 |
| MATH 739 | Applied Regression Analysis | 4 |
| Discovery Course | 4 | |
| Discovery Course | 4 | |
| Credits | 16 | |
| Spring | ||
| 700-level MATH Elective Course | 4 | |
| 700-level MATH Elective Course | 4 | |
| 700-level MATH Elective Course | 4 | |
| Elective Course | 4 | |
| Credits | 16 | |
| Fourth Year | ||
| Fall | ||
| MATH 755 | Probability with Applications | 4 |
| 700-level MATH Elective Course | 4 | |
| 700-level MATH Elective Course | 4 | |
| Elective Course | 4 | |
| Credits | 16 | |
| Spring | ||
| MATH 756 | Principles of Statistical Inference | 4 |
| 700-level MATH Elective Course | 4 | |
| Elective Course | 4 | |
| Elective Course | 4 | |
| Credits | 16 | |
| Total Credits | 129 | |
- Communicate theoretical foundations and principles of intermediate-level statistics to diverse audiences.
- Design an appropriate method of data collection for a variety of practical applications.
- Perform analyses using the established tools of applied statistics, including production of appropriate software output and its interpretation.