Driven by data.
Increasingly, the decision-making process in science, medicine, business, public policy and beyond is data-driven. By integrating mathematical foundations and statistical thinking with computational proficiency, statistical science students at Marquette are prepared to understand and help make sense of our rapidly evolving world. Statistical science majors will graduate ready to tackle big data, perform statistical analysis to detect hidden patterns in data, perform risk factor analysis and perform predictive analysis.
Stand out from the crowd.
Statistical science students receive training in statistical reasoning, computing, analysis of statistical studies, exploration of unstructured data and development of the necessary skills for collaboration and teamwork. Students are equipped with quantitative skills that they can employ and build upon in flexible ways, allowing them to succeed in the high-demand, rapidly growing, data-dependent workforce, or go on to advanced studies in graduate school.
Marquette University is a center for data innovation. Based in the research-active, interdisciplinary and computationally oriented department of Mathematical and Statistical Sciences, the statistical science program provides ample opportunities for students to go beyond the classroom with undergraduate research projects. Global scale collaborations like the Northwestern Mutual Data Science Institute provide advanced level opportunities within the undergraduate degree.
Some of the classes you'll take:
- Introduction to Data Science
- Introduction to Modeling with Simulation and Scientific Computing
- Regression Analysis
- Computational Statistics
- Time Series Analysis
- Theory of Optimization
For a complete listing of required courses for the program in environmental studies, please visit the Marquette University Online Bulletin at this link.