South Dakota - School of Mines and Technology Bachelor of Science in Mathematics
South Dakota - School of Mines and Technology

South Dakota - School of Mines and Technology

Bachelor of Science in Mathematics

Rapid City, USA

BSc

4 years

English

Full time

Jan 2026

USD 29,200 / per year

On-Campus

Key Summary

    About : The Bachelor of Science in Mathematics offers a comprehensive curriculum designed to develop analytical and problem-solving skills. Students engage with diverse mathematical concepts, ranging from calculus to advanced theories, preparing them for various applications in real-world scenarios. This program focuses on both theoretical foundations and practical implementations of mathematics.
    Career Outcomes : Graduates can pursue careers in various fields such as finance, data analysis, education, and technology. Potential roles include mathematician, statistician, actuary, or data scientist, where they can apply their mathematical expertise to solve complex problems in their chosen industries.

What is Math?

Mathematics is a language and methodology for classifying, studying, and predicting patterns: patterns of quantity, of structure, change, of logic. Mathematics typically encompasses applied mathematics and computational mathematics.

What does a mathematician do?

Above all else, a mathematician is a problem solver, and as a mathematics major at South Dakota Mines, you will learn to be just that.

An applied mathematician uses mathematical theory and technique to critically analyze and solve problems in business, government, engineering, and the social sciences.

Mathematics is the most popular double major at Mines.

Research

As a math major at South Dakota Mines, you won’t have to wait to get involved in research. From the first-day students step on campus, they will have many opportunities to be involved in mathematical research, in collaborations with department faculty, and in interdisciplinary teams with faculty and students from other departments.

The primary research focus areas of our faculty are:

• Numerical linear algebra and multilinear algebra

• Non-parametric statistics, computational statistics, time series forecasting, and massive data streams

• Parameter estimation, decision theory, and non-parametric statistics

• Combinatorial matrix theory and graph theory

• Mathematical modeling, mathematical biology, applied math, and Bayesian statistics

• Finite geometry and non-associative algebras

• Complex analysis and formal power series theory

• Mathematical pedagogy and history

• Mathematics, history, and astronomy (particularly celestial mechanics)