Statistics (M.S.)
https://ceps.unh.edu/mathematics-statistics/program/ms/statistics
The statistics M.S. consists of graduate-level training in classical and modern methods of statistical analysis and provides a solid background in the foundations and application of these tools. With the number of jobs in data science and related technology fields growing exponentially, you’ll be well equipped for a range of positions drawing on your statistical modeling and computing skills.
Admission Requirement
Applicants for the M.S. in statistics will typically have an undergraduate degree in the mathematical, physical, biological, or social sciences or in engineering; must have completed mathematical coursework at least through multivariate calculus; and must have knowledge of basic statistics and basic linear algebra at the undergraduate level.
Applying
Please visit the Graduate School website for detailed instructions about applying to the master's program.
Degree Requirements
This program requires 30 credit hours, consisting of at least ten semester courses approved by the department, which includes completion of a project (MATH 898) consisting of a substantial application of statistical methodology to a real problem. Most of the courses will be taken from the department's statistics courses in the range MATH 836-MATH 979 and must include all of the following unless some of these or equivalent courses were taken prior to enrollment in the program:
| Code | Title | Credits |
|---|---|---|
| MATH 839 | Applied Regression Analysis | 3 |
| MATH 840 | Design of Experiments I | 3 |
| MATH 855 | Probability with Applications | 3 |
| MATH 856 | Principles of Statistical Inference | 3 |
At most, three of the required ten courses may also be taken from the department's approved non-statistics courses and/or approved courses offered in other departments.
For the Master's Project (MATH 898) , the student is required to seek out a faculty member who can serve as project adviser for research and application in an area of mutual interest. Typically this should be done prior to the start of the semester of enrollment in MATH 898. The project concludes with a written report and a public oral presentation. A master's committee of at least two statistics faculty members oversees the student's progress.
MATH 898 may be taken for 3 to 6 credits, depending on the level and amount of research and methodological development required for project completion; the appropriate number of credits is determined by the statistics faculty.
There is no comprehensive examination in this option.
Accelerated Master's Overview
Accelerated Master’s programs offer qualified University of New Hampshire undergraduate students the opportunity to begin graduate coursework in select graduate programs while completing a bachelor’s degree. Accelerated master's programs are designed to provide students with an efficient and cost-effective pathway to earn both a bachelor's and master's degree or graduate certificate, enhancing career opportunities and long-term earning potential.
Accelerated Master's Highlights
- Begin studying advanced topics while an undergraduate student with the opportunity to complete a master’s degree or graduate certificate early.
- Master’s degree program students: Earn up to 12* graduate (800-level) course credits while completing a bachelor’s degree. This coursework will count as dual-credit toward both the bachelor’s and master’s degrees.
- Graduate certificate program students: Earn up to 8* graduate (800-level) course credits while completing a bachelor’s degree. This coursework will count as dual-credit toward both the bachelor’s degree and the graduate certificate.
- Students complete the bachelor’s degree, and then officially matriculate into the master’s or graduate certificate program to complete the remaining required graduate-level coursework.
*Some exceptions apply.
Accelerated Master's Admission Requirements
- A minimum 3.2 cumulative GPA is required.*
- A minimum of 90 undergraduate credits must be completed prior to enrolling in graduate (800-level) courses.
- Streamlined Graduate School Application (two letters of recommendation; most standardized tests and application fee are waived).*
*Some exceptions apply.
Accelerated Master's Requirements
- Students must attend a mandatory orientation session.
- Students must submit a special registration form each semester for dual-credit courses and note any DegreeWorks exceptions.
- Students may defer graduate matriculation for up to one year after earning their bachelor’s degree in most programs.
- See the Accelerated Master’s Catalog Policy and Accelerated Master’s Website for additional information and a list of programs. Note that some programs have additional requirements (e.g. higher-grade expectations) compared to the general policy.
Statistics (M.S.) Accelerated Option
This graduate program is approved to be taken on an accelerated basis in articulation with the following undergraduate program(s):
| Code | Title | Credits |
|---|---|---|
| Statistics (B.S.) | ||
| Students select from the following approved 800-level courses that can be completed in the undergraduate senior year for dual credit: | ||
| MATH 834 | Statistical Computing | 3 |
| MATH 836 | Advanced Statistical Modeling | 3 |
| MATH 837 | Statistical Methods for Quality Improvement and Design | 3 |
| MATH 838 | Data Mining and Predictive Analytics | 3 |
| MATH 839 | Applied Regression Analysis | 3 |
| MATH 840 | Design of Experiments I | 3 |
| MATH 841 | Survival Analysis | 3 |
| MATH 843 | Time Series Analysis | 3 |
| MATH 844 | Design of Experiments II | 3 |
| MATH 855 | Probability with Applications | 3 |
| MATH 856 | Principles of Statistical Inference | 3 |
Program Learning Outcomes
- Communicate the theoretical foundations of modern statistical methods to diverse audiences.
- Demonstrate competency in a broad array of statistical methodologies.
- Select, apply, and assess the validity of statistical models and procedures in a variety of situations.
- Demonstrate skill in using computational tools including appropriate use of software to solve practical statistics problems.