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Mathematics and Statistics
The Master's in Statistics at UNH offers advanced training in statistical theory and computational methods for today's data-driven world. Here you'll be able to engage with cutting-edge research across multiple specializations—from Bayesian statistics and machine learning to environmental statistics and data analytics.
With a focus on interdisciplinary collaboration, hands-on research projects, and real-world applications, our program connects you with opportunities across campus while developing the advanced analytical skills needed for success in academia, research, or industry. Our flexible curriculum and research-focused environment prepare you to excel in the growing fields of data science and statistical analysis.
*Number of courses and course credit hours may vary, please reach out to your academic advisor for exact requirements.
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Statistics is a thriving field that develops and tests tools for data collection, modeling and analysis. Statistical methods and practices are ubiquitous in all the sciences, and in society at large, especially in this age of ever-increasing reliance on digital technology.
UNH is a hotbed of data-driven science as a result of its mission as major research university. You’ll have numerous opportunities in interdisciplinary and data-driven research. Combined with the foundational training of the program, our graduates are positioned to become leaders in statistical development, especially in industry. Our faculty specialize in areas including nonparametric function estimation, designing experiments for innovation, statistical learning and data mining, environmetrics, spatial statistics, time series, and climate statistics. Most courses in the program are offered online or in a live-online hybrid format. Our M.S. program can be comfortably completed in three semesters.
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.
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 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.
*Some exceptions apply.
*Some exceptions apply.
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 |
Applications must be completed by the following deadlines in order to be reviewed for admission:
Application fee: $65
Campus: Durham
New England Regional: No
Accelerated Masters: Yes (for more details see the accelerated masters information page)
Students claiming in-state residency must also submit a Proof of Residence Form. This form is not required to complete your application, but you will need to submit it after you are offered admission, or you will not be able to register for classes.
If you attended UNH or Granite State College (GSC) after September 1, 1991, and have indicated so on your online application, we will retrieve your transcript internally; this includes UNH-Durham, UNH-Manchester, UNH Non-Degree work and GSC.
If you did not attend UNH, or attended prior to September 1, 1991, then you must upload a copy (PDF) of your transcript in the application form. International transcripts must be translated into English.
If admitted, you must then request an official transcript be sent directly to our office from the Registrar's Office of each college/university attended. We accept transcripts both electronically and in hard copy:
Transcripts from all previous post-secondary institutions must be submitted and applicants must disclose any previous academic or disciplinary sanctions that resulted in their temporary or permanent separation from a previous post-secondary institution. If it is found that previous academic or disciplinary separations were not disclosed, applicants may face denial and admitted students may face dismissal from their academic program.
Recommendation letters submitted by relatives or friends, as well as letters older than one year, will not be accepted.
Prepare a brief but careful statement regarding:
Current UNH undergraduate students applying to the Statistics program are encouraged to apply to the Accelerated Masters program. No test scores are required.
All applicants are encouraged to contact programs directly to discuss program-specific application questions.
Prospective international students are required to submit TOEFL, IELTS, or equivalent examination scores. English Language Exams may be waived if English is your first language. If you wish to request a waiver, then please visit our Test Scores webpage for more information.