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The full launch date for the major will be Autumn 2027. Students may work with their academic advisor for planning and completing preparatory work if they are interested in the major.
The BS in Statistics and Data Science provides a strong foundation in the theory and application of statistics and data science, with coursework in Probability and Statistics, Statistical Theory, Linear Modeling, Experimental Design, Statistical Consulting, Statistical Computing and Machine Learning. Applications are emphasized throughout the coursework with examples and projects in contemporary and widespread computing platforms. Prepares students for a career in Data Science or Statistical Consulting, or for graduate work in Statistics.
Select one course:
- TBECON 422 Econometrics
- TCSS 142 Programming Principles
- TGIS 311 Maps and GIS
- TGIS 470 GIS Scripting and Automation
- TMATH 300 Foundations of Mathematical Reasoning
- TMATH 342 Applied Topology
- TMATH 424 Introduction to Real Analysis I
- TSTAT 420 Applied Non-Parametric Methods
- TSTAT 426 Applied Bayesian Modeling
- TSTAT 431 Multivariate Statistical Analysis
- TSTAT 434 Applied Generalized Linear Models
ADVISOR
Toni Woodman
MAJOR COORDINATOR
DEPARTMENT
CAREER OPPORTUNITIES
- Data Analyst
- Data Scientist
- Statistician
- Biostatistician
- Post-graduate studies
- Quantitative Analyst
- Operations Analyst
- Marketing Analyst
- Sports Analytics
- Business Analyst
- Environmental Scientist
ADMISSION REQUIREMENTS
A minimum of 45 lower-division credits is required before declaring the major. To declare the Statistics and Data Science major, students should reach out to the major academic advisor.
DEGREE REQUIREMENTS
For a BS in Statistics and Data Science, students must complete 94–103 major credits, with a 2.0 minimum across all major requirements and a 2.0 minimum across all TSTAT courses, as well as the UWT general education and graduation requirements totaling a minimum of 180 credits.
