Undergraduate Program

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The Bachelor of Science in Applied Mathematics and Statistics program at Colorado School of Mines prepares students to design and implement solutions to practical, real-world problems. Modeling, computing, and data analysis are emphasized to provide students with the technical and soft skills necessary to be successful in both industry and graduate school. The Department of Applied Mathematics and Statistics takes pride in its teaching innovations, its contributions to research across campus, and in the quality of excellence in applied mathematics and statistics among its alumni.

Mathematics, statistics, and data science play essential roles in practically every industry and professional field. They are the building blocks for engineering and the sciences. Our faculty and students conduct research in scientific computing, multivariate analysis, numerical analysis, spatial statistics, wave theory, biostatistics, multi-scale simulation, partial differential equations, inverse problems, uncertainty quantification, optimization, climate modeling, and biomathematics.

Degree Emphases in Applied Mathematics and Statistics

Computational and Applied Mathematics

Students with an emphasis in Computational and Applied Mathematics gain experience in mathematical modeling, applied analysis, the development and analysis of numerical algorithms, and the use of mathematical software. Courses include Computational Methods for Differential Equations, Complex Analysis, Parallel Scientific Computing, Programming Concepts, to name a few. In addition to an in-depth mathematics curriculum, students have opportunities to incorporate a minor or area of special interest to delve into another discipline; from Biochemistry to Electrical Engineering to Physics.

Substantial focus is placed on the development of practical applications and techniques to enhance the competitiveness of our students to a wide range of employment opportunities including careers in computer programing, systems analytics, finance, national laboratories, academia, and in industry.

For any questions regarding course requirements, please reference the Flowchart and Course Catalog

Statistics

The undergraduate Statistics program provides strong background in data and modeling while also providing a foundation in mathematics and expertise in computer science. The program features courses in statistical methods, probability, modeling, mathematical statistics, stochastic processes, and spatial statistics.

The senior capstone in statistics engages our students in solving problems of practical applicability for potential employers. This course is designed to simulate an industrial job or research environment; in small teams, students work for a client, make weekly reports and present final written and oral reports. The close collaboration with potential employers and professors improves students’ communication and time management skills and builds a sense of confidence.

Statistics provides quantitative methods for analyzing and interpreting data, designing experiments and surveys, and determining informed decisions under uncertainty and modeling randomness and variability.

Statistics can be applied almost anywhere, as opportunities are available for Statisticians and data scientists in a wide range of industries including finance, insurance, pharmaceutical, medical, engineering, life sciences and internet search, among others.

For any questions regarding course requirements, please reference the Flowchart and Course Catalog

Data Science

Data science is a new area of study at the intersection of computational mathematics, statistics, and computer science. With a strong focus on problem solving, data science skills open doors to almost any field such as applications in the physical processes and the environment, additive manufacturing, health care, economics and e-commerce. This focus uses math to describe how data is collected and measured, how the algorithms work to uncover hidden features, and finally how to quantify the uncertainty in any conclusions. Throughout, the coursework draws on computer science and artificial intelligence as sources for reproducible coding and extending algorithms. Group projects and presentations help to develop skills in communication to non-technical audiences.

For any questions regarding course requirements, please reference the Flowchart and Course Catalog

Combined BS-MS Program

Why earn just one degree when you could graduate with two?

Current Mines students have the opportunity to earn an undergraduate and graduate degree with an emphasis in Computational and Applied Mathematics or Statistics through our combined BS – MS degree program. Thesis and Non-thesis options are available for both degree programs.

This program provides an opportunity for students to work on the two degrees simultaneously and graduate with both degrees in 5 to 5.5 years.

Current Mines students typically apply to this program upon successful completion of five classes with a MATH prefix numbered 225 or higher.

More information can be found on the Mines Combined Programs page.

Students can also pursue a MS in Data Science. The field of data science draws elements of computer science, statistics and interdisciplinary applications to address the unique needs of gaining knowledge and insight through data analysis. This master’s program is designed to give candidates a foundation in statistics and computer science and also provide knowledge in a particular application domain of science engineering.

 

Math student solving equations on board.
Math student solving equations on board.

MATH 431- Bio Activity

Math student solving equations on board.
Math student solving equations on board.
Math student solving equations on board.
Math student solving equations on board.

Photos courtesy of Cal Okenberg