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Industrial Mathematics and Statistics

As of the 2017-18 admission cycle, this program is no longer accepting new applicants. 

Prospective undergraduate students have the option of more than just a degree in mathematics. In addition to a major or minor in mathematics, an Industrial Mathematics and Statistics degree is available. 

Industrial mathematics and statistics is designed for 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 coursework in these areas, students will obtain expertise in an area of application in which they are interested. They can 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 percent of the graduates in the mathematical sciences obtained degrees with a concentration in applied math or statistics (82 percent had degrees in general math), 63 percent 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 provides 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.

Everything from coal efficiency to biometrics identification systems to predicting lung disease are primarily being researched by mathematicians and statisticians at WVU, and you could be a part of that research as well!

How will I focus my studies?

This degree can have a strong emphasis on either mathematics or statistics. 

Jessica Ingabire, Kigali, Rwanda

Major: Industrial Math and Statistics
Minor: Africana Studies
Jessica discovered that studying statistics brings out her creativity. “My major can be very challenging at times, but that’s what makes it interesting. You get to experience a variety of mathematics applications, and you get to prove most of the concepts you have learned before and solve problems in your own way. You can be creative with the way you come up with solutions to different problems.” Jessica found the combination of mathematics and statistics increases her career options and has given her flexibility as a tutor. “Due to the range of math classes I have already taken and the way they were taught, it made it easy for me to explain different concepts to the students. Being able to help a student achieve an A or B that he or she was initially struggling with makes it all worth it.”

Learn more at the Industrial Mathematics and Statistics site