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Applied and Computational Math Degree

Program Offerings

• Bachelor of science degree in Applied and Computational Mathematics
• Accelerated master’s in computational sciences and robotics (earn your bachelor’s degree and master’s degree in as little as five years)
• Master of science degree computational science and robotics
• Minors: Mathematics, Robotics, and Computational Statistics
• Certificate in Technology Innovation

What is Applied and Computational Math?

An applied and computational mathematics degree gives students a firm understanding of mathematics and its applications to science and engineering. The degree will provide students with a strong foundation of knowledge and skill in the core areas of analysis, differential equations, numerical methods and modeling. Students will also attain a basic understanding of probability, statistics and algebra. The degree will prepare students to work in such areas as defense technology, business, robotics, public policy and biomedicine.

What does a mathematician do?

Applied mathematicians use theories and techniques to solve problems in business, government, engineering and the social sciences. A mathematician is a problem solver.

Some duties that a mathematician might do in their career include:
• Analyze ways to schedule airline routes between cities
• Analyze the effects and safety of a new medication
• Analyze the aerodynamic characteristics of an experimental automobile
• Work in computer programming
• Test weapons
• Market research
• Manage hedge funds or analysis financial markets

First-Year Courses

Computer science & math
Calculus I & II

Course Curriculum

Link to Catalog

Internships and Co-ops

Through cooperative education (co-ops) and internships, School of Mines students have many opportunities to apply their education to "real world" work experiences. 77% of Mines graduates have at least one paid internship before they graduate, earning over $18 an hour. One example of a math student's internship was in Silicon Valley at, a startup company that was founded and funded by one of the first ten employees at Google.

Career Outlook

Mines Applied and Computational Mathematics graduates earn an average starting salary of $61,431.


A degree in applied and computational math prepares students for careers in:
• telecommunications
• hedge funds, financial analysis
• aerospace, space exploration
• pharmaceuticals, drug trials
• agriculture
• military, weapons systems testing
• industrial processes, manufacturing
• statistician, actuary, banking
• market research, IT


Mines applied and computational mathematics graduates go on to work for such companies as:
Bluestem Brands
Burns McDonnell
CHR Solutions
Sammons Financial Group
Security First Bank
John Deere
L-3 Communication
Computers Unlimited
Whitehat Security
FAST Enterprises
Mayo Clinic
U.S. Department of Agriculture

Applied and Computational Math Research

Students have many opportunities to be involved in 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, massive data streams
• combinatorial matrix theory, graph theory, and modeling
• math biology, math ecology, applied math and Bayesian statistics
• Scientific Visualization, High Performance Computing (HPCC), and Problem Solving Environments
• finite geometry, non-associative algebras
• parameter estimation and decision theory, computationally intensive statistical methods, statistics pedagog
• Algorithms and software for multicore architectures, topology aware MPI communications and scalable checkpointing techniques.
• complex analysis, mathematics pedagogy
• mobile robotics path planning, localization and mapping, and computer vision; evolutionary algorithms, particle and swarm methods, and biologically motivated algorithms
• probabilistic artificial intelligence, statistical machine learning, neural networks, stochastic control theory, robotics, intelligent control, and computer vision
• data mining, pattern recognition, information security, bioinformatics, multimedia processing, networking, distributed systems
• Cybersickness (visually induced motion sickness from a virtual environment), 3D Systems, Virtual Reality, User Interfaces, and Analysis of Algorithms
• numerical linear algebra, mathematical modeling, and image processing, and program assessment
• topics in the intersection of mathematics,history, and astronomy including celestial mechanics
• Image processing, computer vision, artificial intelligence, pattern recognition, parallelism and concurrency, general-purpose computing on graphics processing units (GPGPU)



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