
The Department of Mathematics offers a BS in Statistics. Statisticians work with numerous businesses and agencies and work in fields such as forensics, environmental groups, government, medicine, pharmaceuticals, psychology, meteorology, market research, sports, insurance, consulting and anywhere in which data are collected and analyzed. Statisticians can also teach K12 and college level. (https://www.statslife.org.uk/careers/typesofjob, retrieved 5/8/2018).
Degree Requirements
Prerequisites: MAT 2010 (Calculus I, Cr. 4)
 MAT 2020 (Calculus II, Cr. 4)
 MAT 2030 (Calculus III, Cr. 4)
 MAT 2250 (Elementary Linear Algebra, Cr. 3)
 MAT/STA 2210 (Probability and Statistics, Cr. 4)
Core Computing Course: CSC 1100 (Problem Solving and Programming, Cr. 3) and CSC 1101 (Problem Solving and Programming Laboratory, Cr. 1)
OR  CSC 2000 (Inroduction to C++ Programming Language, Cr. 3)
Capstone Course:MAT 5993 (WI) (Writing Intensive Course in Mathematics, Cr. 0)  linked with MAT 6840 Core Statistics Courses: MAT 5700 (Introduction to Probability Theory, Cr. 4)
 MAT 5800 (Introduction to Mathematical Statistics, Cr. 4)
 MAT 6840 (Linear Statistical Models, Cr. 3) linked with MAT 5993.
Core Statistical Computing Course:MAT/STA 5030 (Statistical Computing and Data Analysis, Cr. 3) Additional Statistics CoursesAt least one of the following:  MAT 5710 (Introduction to Stochastic Processes, Cr. 3)
 MAT 5770 (Mathematical Models in Operations Research, Cr. 3)
 MAT/STA 5830 (Applied Time Series, Cr. 3)
 MAT 5890 (Special Topics in Mathematics, Cr. 34)  topic must be approved by department
 MAT/STA 6830 (Design of Experiments, Cr. 3)
Elective CoursesAt least two of the following, one of which must be from 17:  Any additional course listed in “Additional Statistics Courses”
 MAT 2350 (Elementary Differential Equations Cr. 3) or MAT 2150 (Differential Equations and Matrix Algebra, Cr. 4) – MAT 2350 is recommended
 MAT 5100 (Numerical Methods I, Cr. 3)
 MAT 5070 (Elementary Analysis, Cr. 4) – strongly recommended for students interested in graduate study
 MAT 5410 (Applied Linear Algebra Cr. 4)
 MAT 5600 (Introduction to Analysis I, Cr. 4)
 MAT 5870 (Methods of Optimization Cr. 3)
 MAT 5740 (The Theory of Interest, Cr. 3)
 ECO 6100 (Introduction to Econometrics, Cr. 4)
 ISM 5570 (Data Mining, Cr. 3)
 CSC 5825 (Introduction to Machine Learning and Applications, Cr. 3)
 Other elective courses:
 DSA 6000 (Data Science and Analytics, Cr. 3)
 EER 8800 (Variance and Covariance, Cr. 4)
 EER 8820 (Multivariate Analysis, Cr. 4)
 EER 8860 (Nonparametric, Permutation, Exact, and Robust Methods, Cr. 4)
 EER 8992 (Research and Experimental Design, Cr. 34)
 IE 6210 (Applied Engineering Statistics, Cr. 4)
 IE 7610 (Fundamentals of Six Sigma, Cr. 4)
 PS 5630 (Statistics and Data Analysis in Political Science I, Cr. 4)
 PSY 6500 (Advanced Psychological Statistics, Cr. 3)
 SOC 6280 (Social Statistics, Cr. 4)
 SW 9100 (Social Statistics and Data Analysis, Cr. 3)
