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The full launch date for the major Statistics and Data Science 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.
- TMATH 390 Probability and Statistics in Engineering and Science (5 credits) OR TMATH 110 Introductory Statistics with Applications AND TMATH 210 Intermediate Statistics with Applications (10 credits)
- TMATH 124 Calculus with Analytic Geometry I
- TMATH 125 Calculus with Analytic Geometry II
- TMATH 126 Calculus with Analytic Geometry III
- TMATH 208 Matrix Algebra with Applications OR MATH 208 Matrix Algebra with Applications
- TMATH 224 Multivariable Calculus OR MATH 224 Advanced Multivariable Calculus
- TSTAT 280 Applied Data Science (2.0 minimum GPA)
- TSTAT 336 Machine Learning for Data Scientists
- TSTAT 345 Statistical Theory I (2.0 minimum GPA)
- TSTAT 346 Statistical Theory II (2.0 minimum GPA)
- TSTAT 422 Introduction to Design of Experiments
- TSTAT 430 Applied Linear Regression
- TSTAT 380 Foundations of Statistical Consulting (4) (2.0 minimum GPA)
- TSTAT 450 Statistics and Data Science Seminar (4)
Select one course:
- TBECON 422 Econometrics
- TCSS 142 Programming Principles
- TGIS 311 Maps and GIS (6)
- 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
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.
