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Applied Mathematics & Statistics

Bachelor of Science

Delivery Options

Campus

Fall 2027 Deadline

Priority: November 1
Regular: January 15
Late: April 1

Apply Now Contact Admissions Team

Department

Applied Mathematics and Statistics

Why Applied Mathematics and Statistics?

The spark of every new idea and solution across engineering, biology, material science and other disciplines is mathematics and statistics — what many call the language of discovery itself. You will develop the ability to design algorithms that identify patterns, predict outcomes and devise solutions to humanity’s most complex challenges. Other professionals — in fields such as genomics, construction, energy and climate science — will rely on you to turn data into smarter tools and superior decisions.

Program Overview

An undergraduate degree in applied mathematics and statistics prepares you for a future that is fundamentally mathematical — and a technology-driven economy that seeks to solve complex problems across engineering, AI, computing and scientific research.

You will graduate with the technical and soft skills to thrive in industry or continued education. The program combines in-depth coursework that emphasizes math modeling, scientific computing and data analysis with a “field session” in mathematical modeling and a senior capstone experience to engage further with industry and research partners.

Program Focus

In a world increasingly driven by data, the ability to extract meaningful insights from massive, complex datasets is the ultimate competitive advantage. From optimizing global supply chains and predicting market fluctuations to modeling the spread of diseases, organizations rely on mathematical precision to navigate uncertainty. At Mines, you will join a community of problem-solvers dedicated to turning raw numbers into the strategic intelligence that powers our modern economy.

Our curriculum provides deep technical mastery in mathematical modeling, computational linear algebra, and statistical inference. You will learn to design sophisticated algorithms, perform rigorous probabilistic analysis, and master programming languages like Python and R for data science. By integrating theoretical proofs with applied projects, you graduate ready to engineer quantitative solutions for high-stakes challenges in finance, engineering, and national security.

Program Design/Options

The program emphasizes technical competence, problem-solving, teamwork, in-depth projects and interdisciplinary collaboration, as well as verbal and written skills. In your junior year, you may choose an area of emphasis:

Computational and Applied Mathematics (CAM)

You learn mathematical modeling, applied analysis, the development and analysis of numerical algorithms and the use of mathematical software. You get practical experience with applications and techniques for careers in computer programming, systems analytics, finance, national laboratories, academia and industry.

Statistics

You learn quantitative methods for analyzing and interpreting data, designing experiments and surveys and making informed decisions under uncertainty, as well as modeling randomness and variability. Such skills, models and statistical analysis are at the core of machine learning and data science, enabling pattern recognition, prediction and decision-making.

Data Science (DS)

You learn to extract meaningful insights from data, combining coursework in mathematics, statistics and computer science. Your quantitative fluency, including coding, data manipulation and statistical modeling, will help you stand out in both tech and research fields.

Combined 4+1 BS/MS Program

As a Mines undergraduate student, you have the opportunity to earn a master’s degree while completing a bachelor’s degree. This five-year pathway is designed to reduce time and cost and give you the tools and capabilities needed to solve hard problems in the world.

Learn more about combined BS/MS programs >

Program Opportunities

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Industry Opportunities

Nearly half of Mines’ applied mathematics and statistics undergraduates pursue careers in industry, including aerospace, aviation, energy, finance, healthcare, information technology and telecommunications. You can sharpen your industry focus by pairing your applied mathematics or statistics degree with an appropriate minor (biochemistry, physics, geophysics, computer science or information systems and science ). Many Mines graduates have joined companies such as Google, Ball Aerospace and Oracle.

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Graduate/Research Opportunities

Approximately 40 percent of Mines’ applied mathematics and statistics undergraduates pursue additional education in preparation for research careers, including nearby research centers such as the National Center for Atmospheric Research, the National Laboratory of the Rockies, the National Oceanic and Atmospheric Administration and the National Institute of Standards and Technology.

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Society for Women in Mathematics

The Society for Women in Mathematics offers a community of support and professional development for women in mathematics and statistics at Mines. The tradition of women excelling in math, engineering and science at Mines traces to its first woman graduate in 1898 and looks to an even brighter future alongside groups such as the Society of Women Engineers and the Society of Women in Physics.

Salaries and Career Outlook

$78,500 Median starting salary for recent program graduates

#2 In broad categories, students majoring in computer science, statistics and mathematics rank second in average salary, trailing only engineers. (Source: Georgetown Center on Education and the Workforce)

#4 Data science ranks fourth in the U.S. News & World Report Best Technology Jobs for 2024. (Source: U.S. News & World Repor

#2 Among computer science, statistics and mathematics majors, applied mathematics and statistics majors rank second in average salary, behind only computer engineers. (Source: Georgetown Center on Education and the Workforce)

Program Curriculum

View Academic Catalog

Faculty Expertise

Meet three faculty leaders who teach and conduct research in computational methods, statistical analysis, mathematical modeling, applied sciences and analytical foundations who provide the rigorous analytical foundation you need to solve complex problems in engineering and the sciences.

Brennan Sprinkle

Assistant Professor

Cecilia Diniz Behn

Professor

Dorit Hammerling

Associate Professor

World-Class Labs, Centers and Facilities

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Diniz Behn Research Group

Professor Cecilia Diniz Behn applies multiscale mathematical modeling to investigate key research questions in metabolism, sleep and circadian rhythms. Her research group models key dynamics in whole-body metabolism including changes in glucose, glycerol, and insulin; sleep and circadian neurophysiology; and the diverse interactions among these systems.

Desk with math notes featuring graphs, a laptop keyboard, car keys, and a black patterned water bottle.

Mines Optimization and Deep Learning (MODL) Group

The MODL Group co-led by Assistant Professors Samy Wu Fung and Daniel McKenzie conducts research in the intersection of deep learning and optimization. Current areas of interest include inverse problems, learning-to-optimize, applied probability, zeroth order optimization, and implicit deep learning.

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Hammerling Research Group

Associate Professor Dorit Hammerling leverages the power of computation and mathematical modeling to solve vexing problems relating to energy, climate, engineering, and society. Her research group builds innovative modeling architectures and openly develops original software.

Frequently Asked Questions

What is the value of a degree in applied mathematics and statistics?

A degree in applied mathematics and statistics gives you the ability to model, analyze and solve complex real-world problems using data computation and quantitative reasoning. At Mines, this skill set is tightly connected to high-impact domains where quantitative insight matters most—energy systems earth and environmental processes, advanced manufacturing infrastructure and emerging technologies. You graduate with the mathematical and statistical foundation behind modern engineering, AI-enabled modeling and data-driven decision-making.

What are the most interesting advances and technologies shaping the field?

Applied mathematics and statistics sits at the center of today’s most important technical advances including machine learning and AI scientific and high-performance computing optimization uncertainty quantification and data analytics for large sensor and simulation datasets. At Mines these tools are applied to problems such as subsurface modeling, environmental monitoring, energy systems analysis, materials performance and complex engineered systems where combining physical models with data is essential.

What career options will I have with a degree in applied mathematics and statistics?

Graduates pursue a wide range of quantitative and technical careers including:
Data Scientist or Applied Machine Learning Scientist
Statistician or Quantitative Analyst
Computational Scientist or Scientific Software Engineer
Modeling and Simulation Engineer
Operations Research or Optimization Analyst
Environmental or Geospatial Data Analyst

These roles focus on building models analyzing uncertainty optimizing systems and turning data into actionable decisions across engineering and technology-driven organizations.

What industries hire graduates with a degree in applied mathematics and statistics?

Applied mathematics and statistics graduates from Mines are hired across industries that depend on advanced modeling and analytics including:

Energy and industrial systems
Earth environmental and water resources
Mining minerals and subsurface technologies
Aerospace and advanced engineering
Manufacturing and materials
Technology finance and analytics consulting

Mines’ strong domain expertise helps graduates move seamlessly into technical teams where math and statistics directly support engineering operations and innovation.

What current STEM research directions rely on applied mathematics and statistics?

Applied mathematics and statistics underpins many of today’s most active STEM research areas including:

Machine learning integrated with physical and engineering models
Uncertainty quantification and risk-informed decision-making
Computational geoscience hydrology and environmental modeling
Optimization and control of complex systems
Inverse problems for imaging sensing and subsurface characterization
Large-scale data analytics for simulations and sensor networks

At Mines these research directions are closely aligned with national priorities in energy sustainability infrastructure resilience and advanced technology ensuring that AMS research remains both rigorous and highly relevant.

Featured Alumni

Meet Jenna Ramsey-Rutledge ’25, Applied Mathematics and Statistics

My favorite Mines memory is when my study group became my best friends. One night, our usual work time ended early and we stayed for hours just chatting.

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Applied Mathematics & Statistics

Bachelor of Science

Delivery Options

Fall 2027 Deadline

Department