This minor in Statistics is a multidisciplinary undergraduate program that will provide students a rigorous training in statistical science as well as its applications to other natural science, social science, business, and engineering disciplines. It was built to be flexible depending on students interests and professional aspirations.
This program will add an explicitly marketable skill set to any degree plan at the University of Kansas, indicating to employers or potential graduate programs that you bring a strong understanding of statistical techniques and methodologies as well as their uses and applications. As collecting and analyzing data is ubiquitous in just about every human activity, statisticians can find employment in many areas such as finance and corporate banking, data analytics and data science, medicine, actuarial science, insurance and business analytics, geological and atmospheric sciences, and government.
Requirements for the Minor
The student must earn a grade point average of 2.0 in all the mathematics/statistics courses attempted.
Course List | Code | Title | Hours |
| MATH 127 | Calculus III | 4 |
| or MATH 147 | Calculus III, Honors |
| MATH 290 | Elementary Linear Algebra | 2 |
| 12 |
| Computational Data Science | |
| Applied Regression Analysis | |
| Time Series Analysis | |
| Discrete Probability | |
| Probability | |
| Probability Theory |
| Mathematical Theory of Statistics | |
| Statistical Theory |
| Actuarial Mathematics | |
| Capstone in Statistics | |
| Nonparametric Statistics | |
| Stochastic Adaptive Control | |
| |
| Total Hours | 18 |
List ApplStats
Course List | Code | Title | Hours |
| AE 768 | Orbit Determination | 3 |
| BIOL 370 | Introduction to Biostatistics | 4 |
| BSAN 415 | Data Analysis and Forecasting | 3 |
| BSAN 450 | Data Mining and Predictive Analytics | 3 |
| CE 711 | Probabilistic Design and Reliability | 3 |
| CE 760 | Stochastic Hydrology | 3 |
| ECON 526 | Introduction to Econometrics | 3 |
| ECON 715 | Elementary Econometrics | 3 |
| ECON 716 | Econometric Forecasting | 3 |
| EECS 563 | Introduction to Communication Networks | 3 |
| EECS 658 | Introduction to Machine Learning | 3 |
| EECS 769 | Information Theory | 3 |
| EPSY 710 | Introduction to Statistical Analysis | 3 |
| GEOG 716 | Advanced Geostatistics | 3 |
| GEOL 504 | Inverse Problems for Geoscientists | 3 |
| ME 788 | Optimal Estimation | 3 |
| PHSX 615 | Numerical and Computational Methods in Physics | 3 |
| or EPHX 615 | Numerical and Computational Methods in Physics |
| PHSX 616 | Physical Measurements | 4 |
| or EPHX 616 | Physical Measurements |
| PHSX 671 | Thermal Physics | 3 |
| or EPHX 671 | Thermal Physics |
| PSYC 500 | Intermediate Statistics in Psychological Research | 3 |
| PSYC 599 | Data III: Data Management | 3 |
| PSYC 612 | Data IV: Introduction to Machine and Statistical Learning | 3 |
| PSYC 699 | Community Data Lab | 3 |
| or POLS 699 | Community Data Lab |
Double Minors in Mathematics and Mathematical Statistics or MATH BS/BA Major and Mathematical Statistics Minor
Students must take at least two courses from the Mathematics course list above that count only for the Mathematical Statistics Minor (not used for Mathematics Major or Minor).
