Choose the Track in Business, Industry, Government, and Research Statistics

The statistics in business, industry, government, and research track emphasizes statistical applications and data analysis. It is appropriate for students interested in careers as applied statisticians.

In addition to satisfying the common requirements for all statistics majors, students in the Track in Statistics in Business, Industry, Government, and Research must complete the following course:

  • STAT:5810 / BIOS:5310 / IGPI:5310  Research Data Management (3 semester hours)

And three of these:

  • STAT:3620/CEE:3142/ISE:3600 Quality Control (3 semester hours)
  • STAT:4520/IGPI:4522/PSQF:4520 Bayesian Statistics (3 semester hours)
  • STAT:4540/IGPI:4540 Statistical Learning (3 semester hours)
  • STAT:4580/CEE:3142/IGPI:4580 Data Visualization and Data Technologies (3 semester hours)
  • STAT:6220/CEE:3142/IGPI:5310 Statistical Consulting (3 semester hours)
  • STAT:5400/IGPI:5400  Computing in Statistics
  • STAT:6220  Statistical Consulting
  • STAT:6530/IGPI:6530 Environmental and Spatial Statistics (3 semester hours)
  • STAT:6550/BIOS:6310/IGPI:6310 Introductory Longitudinal Data Analysis (3 semester hours)
  • STAT:6560/Applied Time Series Analysis (3 semester hours)
  • BIOS:5130/IGPI:5130 Applied Categorical Data Analysis (3 semester hours)–prerequisite of STAT:3200   

Note: BIOS:5120 Design & Analysis of Biomedical Studies does not count as a statistical elective for the major.

Sample Schedule
YearFall SemesterSpring Semester
1MATH:1850 Calculus IMATH:11860 Calculus II
STAT:2010 Statistical Methods and Computing
2MATH:2850 Calculus III
STAT:3100 Introduction to Mathematical Statistics I
STAT:3200 Applied Linear Regression
MATH:2700 Introduction to Linear Algebra
STAT:3101 Introduction to Mathematical Statistics II
CS:1210 Computer Science I
3BIOS:5310/STAT:5810 Research Data ManagementSTAT:3210 Experimental Design and Analysis
STAT:5460 Applied Time Series
4STAT:4500 Bayesian StatisticsSTAT:4580 Data Visualization and Data Technologies