Why get a graduate certificate in industrial statistics?
If you’re a professional in a manufacturing and service industry looking to improve your expertise in statistical design of studies, the industrial statistics graduate certificate is designed for you. You’ll study statistical and analytical methodology for decision making, planning and quality improvement, and select from a variety of specialized electives to meet your individual needs.The industrial statistics certificate can help you hone your skills so you can be confident your work is backed by proven methodology, sound planning,and high-quality, data-driven decisions.
Why get your graduate certificate in industrial statistics at UNH?
You can acquire expertise in industrial statistics efficiently and affordably at UNH—this post-baccalaureate certificate may be completed in one year and costs less than a two-year master's program. Many courses are offered online, giving you flexibility in scheduling around work or other commitments. Mentorship is provided by faculty who are accomplished mathematicians, statisticians and educators who have won prestigious honors, including a Grammy Award and MacArthur “Genius Grant.”Professionals in a variety of public and private sectors will benefit from this graduate certificate program.
Potential career areas
- Computational science
- Education
- Financial services
- Programming
- Sociology
- Software development
- Statistics
Curriculum & Requirements
The Department of Mathematics and Statistics offers a graduate certificate in the area of industrial statistics. This program is primarily designed to help professionals in manufacturing and service industries to improve their expertise in statistical design of studies, and statistical and analytical methodology for decision making, planning, and quality improvement.
Admissions Requirement
Individuals holding a bachelor's degree are eligible to apply for admission to a graduate certificate program.
Applying
Please visit the Graduate School website for detailed instructions about applying to the certificate program.
Certificate Requirements
A graduate certificate in industrial statistics is awarded for completion of four courses as follows:
| Code | Title | Credits |
|---|---|---|
| Required Courses | ||
| Select three of the following: | 9 | |
MATH 836 | Advanced Statistical Modeling | |
MATH 837 | Statistical Methods for Quality Improvement and Design | |
MATH 839 | Applied Regression Analysis | |
MATH 840 | Design of Experiments I | |
| Electives | ||
| Select one of the following: | 3 | |
MATH #841 | Survival Analysis | |
MATH 843 | Time Series Analysis | |
MATH 844 | Design of Experiments II | |
MATH 855 | Probability with Applications | |
MATH #941 | Bayesian and Computational Statistics | |
MATH #944 | Spatial Statistics | |
Any other special topics course in the area of industrial statistics. Other special topics courses are occasionally offered and may be added to the list of elective courses | ||
| Total Credits | 12 | |
Note that all of these have as a prerequisite an introductory statistics course, such as MATH 835 Statistical Methods for Research.
Deadlines
Applications must be completed by the following deadlines in order to be reviewed for admission:
- Fall: July 1
- Spring: Dec. 1
- Summer: April 1
- Special: N/A
Application fee: $25
Campus: Durham
New England Regional: No
Accelerated Masters Eligible: No
New Hampshire Residents
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.
Transcripts
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:
- Electronic Transcripts: Please have your institution send the transcript directly to grad.school@unh.edu. Please note that we can only accept copies sent directly from the institution.
- Paper Transcripts: Please send hard copies of transcripts to: UNH Graduate School, Thompson Hall- 105 Main Street, Durham, NH 03824. You may request transcripts be sent to us directly from the institution or you may send them yourself as long as they remain sealed in the original university envelope.
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.
Letters of Recommendation: 2 Required
Recommendation letters submitted by relatives or friends, as well as letters older than one year, will not be accepted.
Personal Statement/Essay Questions
Prepare a brief but careful statement regarding:
- Reasons you wish to do graduate work in this field, including your immediate and long-range objectives.
- Your specific research or professional interest and experiences in this field.
Important Notes
All applicants are encouraged to contact programs directly to discuss program-specific application questions.
International Applicants
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.
