Explore Statistical Data Science or Applied Statistics
Want to turn data into insights? Whether you’re interested in data science, business analytics, or research, a concentration in Statistical Data Science or a minor in Applied Statistics equips you with the tools to analyze data and make informed decisions.
Potential career paths include:
- Data Analyst
- Data Scientist
- Actuary
- Market Researcher
- High School Math Teacher (with a focus on statistics and data science)
Statistical Data Science and Applied Statistics open doors to high-impact careers across industries. For some examples, check out thisisstatistics.org.
Why Study Statistical Data Science?
Data Powers Every Industry: From economics to healthcare, data fuels decision-making. Statistical Data Science blends statistical methods, computational techniques, and data visualization to solve real-world problems.
Essential and Versatile Skills: A minor in Applied Statistics or a concentration in Statistical Data Science provides quantitative, analytical, and programming skills that complement any major—boosting career prospects and preparing you for graduate studies.
High Demand for Data & Statistics Education: With the growing importance of data-driven decision-making, expertise in statistics and machine learning is highly sought after. Additionally, as high schools expand their statistics and data science offerings, math teachers with a strong foundation in these fields will be in demand.
Opportunities for Future Math Educators
If you’re planning to teach high school math, consider a double concentration in Statistical Data Science or a minor in Applied Statistics. With the increasing importance of AP Statistics and data science courses in K-12 education, math teachers with specialized training in statistics will be highly sought after.
By adding a statistics or data science focus, future educators can expand their teaching opportunities and be better prepared for the growing demand for quantitative literacy in secondary education.
Minor & Concentration Requirements
The Minor in Applied Statistics requires at least four courses chosen from the following:
Recommended for most students:
- MATH 2200: Introduction to Statistical Concepts and Methods (Fall, Spring)
- MATH 3210: Applied Statistical Computing and Multivariate Methods (Fall)
- MATH 4210: Regression Modeling and Analysis (Fall)
- MATH 4230: Applied Statistical Methods for Data Science (Spring)
Other options based on interest:
- MATH 3200: Probability Theory (Fall, Spring; Calculus-based)
- MATH 4200: Mathematical Statistics (Spring; Calculus-based)
Concentration in Statistical Data Science
The Concentration in Statistical Data Science provides a comprehensive and structured curriculum that includes a full sequence of statistics courses that cover:
- Data Science Foundations (Statistical computing, regression modeling, and data science methods)
- Mathematical Statistics & Probability (for students interested in theoretical foundations)
- Computational & Applied Methods (Multivariate analysis, data visualization, and predictive modeling)
For detailed course descriptions, visit the CSUB Mathematics Course Catalog.
Interested in Learning More?
Contact me to discuss how these programs can complement your career goals.