Industrial Mathematics and Statistics
Department of Mathematics Chair
Department of Mathematics Chair
- Major: Industrial Mathematics and Statistics
- Degree Program: Interdepartmental Studies
- Program Web Site
- Eberly College of Arts and Sciences
- Degree Designation: Bachelor's (B.S.)
This degree has been designed for those students with a strong interest in applying a wide range of skills in mathematics, statistics and computer science to problems encountered in "real world" settings. In addition to course work in these areas, students will also obtain expertise in an area of application in which they are interested. They will be able to seek employment in a wide range of fields including statistics, computer science, and applied mathematics. According to a 1993 survey of recent graduates performed by the National Science Foundation, while only 12% of the graduates in the mathematical sciences obtained degrees with a concentration in applied math or statistics (82% had degrees in general math), 63% of those employed in nonacademic jobs reported that the two jobs they spent the majority of their time on were computer applications and applied research. This degree is designed to enhance a student’s marketability by giving them expertise in mathematics, statistics, and computer science.
The curriculum in Industrial Mathematics and Statistics (IMS) provides students with the critical skills and knowledge needed to apply sophisticated tools from both statistics and mathematics to industrial and scientific problems. IMS is concerned with the mathematical, statistical, and computer modeling of various physical, biological, and social processes.
Graduates are trained to work in business, industry, and the government, or to pursue a graduate degree in any of the mathematical sciences. IMS is vital to our economic competitiveness and is critical to the development of our increasingly scientific/technological society. IMS is built on a foundation of differential and integral calculus, differential equations, applied probability, and statistics.
The mathematical tools encompass linear algebra, numerical analysis, continuous models rooted in differential equations, discrete models linked to finite mathematical structures, and Markov processes. Scientific computing extends the rudiments of programming into data visualization, development of algorithms, and selected topics using high-level languages.
Statistical topics especially relevant to industrial and scientific applications include design and analysis of experiments, statistical models, sequential analysis, reliability models, and time series analysis. These statistical methodologies are grounded in fundamental concepts of statistics and probability such as discrete and continuous probability distributions, estimation and hypothesis testing, and exponential family models.
IMS students can select jobs from many opportunities. Those more interested in the statistics side of the degree will be able to seek jobs as statisticians. About one-fourth of those employed as statisticians work in the federal government in such organizations as the Departments of Commerce, Agriculture, and Health and Human Services. Outside of the government, most statisticians are employed in private industry, especially in the insurance, pharmaceutical, health, manufacturing, research and testing services, and computer and data processing industries.
Those more interested in the applied mathematics side of the degree who want to work outside of academics are usually part of interdisciplinary teams that are often divided evenly among mathematicians, computer scientists, and engineers with a smaller proportion of physical scientists.
English Language Proficiency
All applicants whose first language is not English must provide proof of English language proficiency. WVU accepts either the TOEFL or the IELTS for this purpose. Please see Office of Admissions - English Language Proficiency for more information.
Prospective students should apply online at:
WVU is accredited by the Higher Learning Commission.