Applied Mathematics and Statistics (MST)

Turn complex, real-world challenges into data-driven solutions with the Master of Science in Applied Mathematics and Statistics (Thesis) program at Colorado School of Mines. This program is designed for you to expand your mathematical foundation while applying theory to challenges in engineering, science and industry.

You will build advanced expertise in mathematical modeling, statistical analysis, computation and data-driven reasoning. These are not abstract competencies, but practical tools used wherever complex decisions must be made with clarity and precision. Across industries, leaders depend on professionals who can assess risk, optimize performance and draw defensible conclusions from large, complex datasets. From engineering systems and natural resources to finance and technology, organizations rely on professionals who can translate data into insight.

Mines stands out for its strong applied focus. Mathematics and statistics are taught not as abstract exercises, but as tools for engaging in substantive, real-world problems. The thesis component allows you to explore a topic in depth, contribute original research and graduate with experience that mirrors how technical work is done in practice. Whether entering the workforce or pursuing doctoral study, you will be prepared to move forward with confidence and immediate impact.

Program Details

This on-campus master’s thesis program emphasizes advanced coursework paired with independent research. You will study topics such as applied mathematics, probability, statistical inference, numerical methods, optimization and computational techniques. Coursework is flexible, allowing you to tailor your plan of study to your interests and career goals while maintaining a strong mathematical core.

A central element of the degree is the thesis. Working closely with a faculty advisor, you will refine a research question, carry out original analysis, and present your findings in a written document and formal defense. The process is rigorous and deliberate, mirroring the way substantive technical work unfolds in professional settings. Thesis topics frequently sit at the intersection of mathematics, statistics, and applied fields such as engineering, science, or data-intensive disciplines. Through this experience, you develop not only technical depth, but the ability to frame meaningful problems, sustain a complex project over time and communicate sophisticated ideas with clarity and precision.

The program is well suited for you if you are seeking deep technical expertise, research experience and preparation for advanced professional or academic paths.