Get started with Missouri S&T
ApplyOverview
Data is constantly being collected and is used in a variety of mediums by companies or organizations to make decisions, sell products or services or gain new insights. Gathering data, performing analysis and then interpreting it is a skill set you’ll conquer with a graduate certificate in statistics. The Department of Mathematics and Statistics offers a variety of theoretical and applied statistics courses applicable to your current role that can help set you apart from others in your field.
Quick facts
Official name
Graduate certificate in statisticsCampus
Program type
Graduate certificateAcademic home
College of Arts, Sciences, and Education | Department of Mathematics and StatisticsDelivery mode
100% onlineAccreditation
Higher Learning CommissionCredit hours
12Estimated cost
$8,100.00Military credit hours
12Military estimated cost
$9,540.00*This cost is for illustrative purposes only. Your hours and costs will differ, depending on your transfer hours, your course choices and your academic progress. See more about tuition and financial aid.
Career prospects
Graduate certificates give students the opportunity to broaden their knowledge in a particular discipline, learn the latest in developing fields, and stay competitive in today’s marketplace. Upon completion, students will be able to demonstrate advanced knowledge within a field of study.
Program structure
This program is 100% online: no campus visits required.
Courses are semester-based. Students typically take one class per semester and finish the program in two years.
Delivery
100% onlineCalendar system
Semester-basedTypical program length
2 yearsTypical course load
1 class per semesterPathway to a master's degree
Are you a working professional who wants to earn your master's degree, but you don’t have time to take the GRE? Then start in a graduate certificate program. This graduate certificate was designed as a pathway to a metallurgical engineering MS.
The admission requirements are more relaxed and credit earned will count toward your degree. Once you successfully earn your graduate certificate, you can continue with the corresponding master's degree without having to take the GRE. Completion of a graduate certificate program does not automatically guarantee admission into a corresponding graduate degree program. To continue in a master’s degree program, you must apply. If you are applying to a PhD program, you are still required to submit GRE scores.
Accreditation
Missouri University of Science and Technology is accredited by the Higher Learning Commission, one of six regional institutional accreditors in the United States.
Faculty spotlight
Dr. Hu worked as a postdoctoral associate at the School of Mathematics, University of Minnesota, Twin Cities from 2013-2016. In 2013, he earned a PhD in mathematics from the University of Maryland, College Park. He earned his bachelor’s degree in 2008 at Peking University in Beijing.
Areas of interest: stochastic analysis, stochastic differential equations, random dynamical systems, (stochastic) partial differential equations, high-dimensional statistics, statistical machine learning, optimization.
Dr. Gayla Olbricht is an applied statistician whose research focuses on the statistical modeling of biological data. Her work involves many interdisciplinary collaborations with scientists investigating a variety of biological questions.
Areas of interest: statistical modeling of biological data, statistical methods for explainability in unsupervised learning, genomics, epigenomics and bioinformatics, modeling sleep in Drosophila melanogaster.
Dr. Paige earned his PhD in statistics from Colorado State University and joined the Missouri University of Science and Technology (Missouri S&T) in 2008.
Areas of interest: Statistical shape analysis, topological data analysis.
He was Interim department chair from 2019-August 2021. He earned a Ph.D. in statistics from Kansas State University, a post-graduate diploma in statistics from the University of Sri Jayewardenepura and a bachelor’s degree from the University of Colombo.
Areas of interest: time series analysis, data science, reliability, and statistical applications in biology, econometrics, and engineering.