Statistics, B.A., B.S.
There is no doubt that today's technologies make it is easier to
collect and store large amounts of data, however it is difficult to
extract useful information. Students interested in producing useful
information from available data will need strong methodological
grounding, so they can critically interpret existing research and
conduct sound research on their own.
Statistics majors at Grand Valley learn the theory and application of statistical methods and get hands-on experience analyzing real-life data. Students who major in statistics get experience and receive training in verbal and written communication skills, which are essential in today's society.
For current degree requirements, including the emphasis in actuarial sciences, available minors in statistics, and curriculum information, visit gvsu.edu/catalog/. GVSU offers a professional science master's degree in biostatistics, visit gvsu.edu/biostat/.
Why Study Statistics at Grand Valley?
You can expect the following from the statistics program at Grand Valley:
- Personal attention by our faculty in all of your courses.
- An opportunity to work collaboratively with our faculty on a variety of research initiatives.
- Widespread application of statistical methods and hands-on experience with analyzing real-life data.
- Access to an extensive list of undergraduate courses where you can learn about the branches of statistical methodology.
- A nearly 100-percent placement rate into work or graduate school.
For More InformationDepartment of Statistics
A-1-178 Mackinac Hall
Location & FormatFace to face courses are scheduled during the day and are offered at Grand Valley's Allendale Campus.
- Location: Allendale
- Format: Face To Face
Students study a variety of topics, including:
- Applied regression analysis
- Nonparametric statistical analysis
- Design of experiments
- Survey sampling
- Statistical computing and consulting
- Statistical graphics with R
- Linear algebra
Statisticians help make important advances in scientific research and data science by using their quantitative abilities, statistical knowledge, computing, and communication skills to collaborate with other scientists on problems, including:
- Building models to assess risk for insurance and pensions.
- Designing and analyzing studies to determine safety and effectiveness of drugs.
- Estimating the U.S. unemployment rate.
- Analyzing consumer demand for a new product or service.
“I can’t say enough about my experience at Grand Valley and how my education prepared me for life after college. Three things stick out in my mind. First, the statistics program at Grand Valley prepared me very well for graduate school. Second, through internship opportunities, I graduated with real-world practical experience in my field. Last, and most important, the dedication and support of professors gave me the confidence to know that I had the skills and the capability to tackle any job.”