-
Michelle Capozzoli
LECTURER -
Veronica Hupper
LECTURER -
Linyuan Li
PROFESSOR -
Ernst Linder
PROFESSOR -
Philip Ramsey
PRINCIPAL LECTURER
Statistics (B.S.)
Statistics (B.S.)
What is a Bachelor of Science in statistics?
This degree program offers broad coverage of modern statistical theory and extensive experience using statistical software – including R, SAS and JMP – to analyze complex physical, biological and economic models. The statistics program prepares students for graduate study and provides several elective options that prepare graduates for successful careers in actuarial science.
Why study statistics at UNH?
You’ll study and gain practical experience in statistics alongside accomplished mathematicians, statisticians and educators who have won prestigious honors, including a Grammy Award and MacArthur “genius” grant. You’ll enjoy many small, specialized classes that will prepare you for a wide range of careers, and you can also pursue an accelerated master’s degree. This department has produced many winners of the prestigious Department of Defense SMART Scholarship.
Potential careers
- Computational scientist
- Financial services/actuary
- Mathematician/statistician (government/research/academia)
- Programmer
- Quantitative specialist in business or industry
- Software developer
- Teacher/educator/curriculum supervisor
Department of Mathematics & Statistics
Kingsbury Hall, W383
33 Academic Way
Durham, NH 03824
Kingsbury Hall, W383
33 Academic Way
Durham, NH 03824
Phone: (603) 862-2320
Curriculum & Requirements
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.
| 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 or CS 410 |
Mathematics and Applications with MATLAB or Introduction to Scientific Programming |
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 | |
| Code | Title | Credits |
|---|---|---|
| MATH 425 | Calculus I | 4 |
| MATH 426 | Calculus II | 4 |
| MATH 445 | Mathematics and Applications with MATLAB | 4 |
| or CS 410 | Introduction to Scientific Programming | |
| 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, chosen in consultation with the major advisor, at least one is at the 700-level. | 8 | |
| Select THREE from the following: | 12 | |
MATH 736 | Advanced Statistical Methods for Research | |
MATH 737 | Statistical Methods for Quality Improvement and Design | |
MATH 740 | Design of Experiments I | |
MATH 741 | Survival Analysis | |
MATH 743 | Time Series Analysis | |
MATH #744 | Design of Experiments II | |
| Capstone | 2 - 4 | |
MATH 797 | Senior Seminar | |
or MATH 798 | Senior Project | |
or MATH 799 | Senior Thesis | |
| Total Credits | 66-68 | |
| 1 | MATH 525 - MATH 526, Linearity, may be substituted for: MATH 527, MATH 528, and MATH 645 |
Explore Program Details
More to Explore
