Industrial Mathematics and Statistics
Sherman D.Riemenschneider, Mathematics Chair
E. James Harner, Statistics Chair
Degree Offered:
Bachelor of Science
Major: Interdepartmental Studies
Nature of the Program
| The mathematical tools encompass linear algebra, numerical analysis, continuous models rooted in differential equations, and 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 |
Performance Requirements
| To maintain industrial mathematics and statistics major status and to graduate, students must maintain at least a 2.0 overall GPA and a 2.0 cumulative GPA in coursework in mathematics and statistics. |
Degree Requirements
| A total of 128 hours is required for graduation. The Industrial Mathematics and Statistics Core Curriculum includes the following required background courses (19 hours): MATH 155, 156, 251, 261, and STAT 215. The IMS program has the following core courses (12 hours) that all students must take: MATH 441 and Mathematical Modeling ( the proposed MATH 463); STAT 312 and 461. The student then has the option of selecting a mathematics or a statistics emphasis (nine hours):
Students must also satisfy all the requirements of the ECAS bachelor of science. For IMS students interested in computer science, the following normally restricted courses are available to IMS majors: CS 110, 111, 210, 220, 250, 320, and 330. |
Recommended Electives
| The recommended electives in mathematics and statistics are: MATH 283, 364, 420, 456, and 465; MATH/STAT 222; STAT 217, 313, 316, 331, 421, 445, and 462. |





