Mathematics Minor
Mathematics
Minor
Cadets enrolled in the mathematics minor will gain a clearer and deeper understanding of foundational mathematics concepts and be able to apply mathematical techniques in their respective fields.
Offered by the Department of Mathematical Sciences.
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Mathematics is the fundamental underpinning of several academic majors and is critically important in technological, scientific, and engineering fields. Moreover, due to big data problems, there is also a growing need for mathematical skills in the humanities and social sciences. A strong background in mathematics helps cadets in developing critical thinking and problem-solving skills.
A Mathematics Minor complements cadets’ majors in various fields, such as engineering, science, economics, and computer science. With a Mathematics Minor, cadets strengthen foundational concepts in calculus, linear algebra, and probability theory, to enhance their understanding of complex concepts in their respective fields. With the explosive growth of big data, cadets must develop quantitative literacy, a critical skill both in the Army and private sector. This minor will offer a diverse range of courses, from real-world applications to logical argument development in more theoretical areas like number theory and topology, to foster creativity and curiosity, all of which enables future innovation. It provides a stronger foundation in math skills for cadets wanting to pursue graduate studies in their fields. A Mathematics Minor has the potential to open more opportunities in graduate studies for those cadets wishing to change fields of study. Finally, a Mathematics Minor makes graduates more marketable to industry and future potential employers as it demonstrates a deeper understanding of quantitative reasoning and data analysis. Since the Army parallels industry, a Math Minor paired to any major also develops a more well-rounded student who can bring diverse skills and decision-making into the Army.
Contact a Department of Mathematical Sciences Academic Counselor:
- Head DAC: CPT Anna Tucker, Instructor, anna.tucker@westpoint.edu
- Math DAC: CPT Matthew Strack, Instructor, matthew.strack@westpoint.edu
To learn more about this area of study, visit the Department of Mathematical Sciences.
Cadets can double-count three courses, as only 3 courses need to be unique to the minor.
Required Courses (1 of 2)
- MA205 Calculus II
- MA255 Advanced Multivariable Calculus
Electives (Choose 5 of 34)
- MA363 ORDINARY DIFFERENTIAL EQUATION
- MA364 ENGINEERING MATHEMATICS
- MA365 ADV MATH FOR ENGRS/SCIENTISTS
- MA367 MATH FOR THE SOCIAL SCIENCES
- MA371 LINEAR ALGEBRA
- MA372 INTRODUCTION TO DISCRETE MATH
- MA376 APPLIED STATISTICS
- MA381 NONLINEAR OPTIMIZATION
- MA383 FOUNDATIONS OF MATH
- MA385 CHAOS AND FRACTALS
- MA386 INTRO TO NUMERICAL ANALYSIS
- MA387 MATHEMATICAL ANALYSIS I
- MA388 SABERMETRICS
- MA389 INDIV STUDY IN MATHEMATICS
- MA391 MATHEMATICAL MODELING
- MA394 FUNDAMENTALS/NETWORK SCIENCE
- MA396 NUM METH SOLUTIONS DIFF EQNS
- MA461 GRAPH THEORY AND NETWORKS
- MA462 COMBINATORICS
- MA464 APPLIED ALGEBRA W/ CRYPTOLOGY
- MA466 ABSTRACT ALGEBRA
- MA476 MATHEMATICAL STATISTICS
- MA477 THEORY & APPL OF DATA SCIENCE
- MA478 GENERALIZED LINEAR MODELS
- MA481 LINEAR OPTIMIZATION
- MA484 PARTIAL DIFF EQUATIONS
- MA485 APPLIED COMPLEX VARIABLES
- MA486 MATHEMATICAL COMPUTATION
- MA487 MATHEMATICAL ANALYSIS II
- MA488 SPECIAL TOPICS IN MATHEMATICS
- MA489 ADV INDIV STUDY IN MATH
- MA491 RESEARCH SEMNR-APPLD MATH
- MA493D INTRODUCTION TO TOPOLOGY
- SE375 STATISTICS FOR ENGINEERS
Electives may be selected based on broad areas of interest as suggested below:
- Pure Math: MA385, MA464, MA466, MA485, MA487
- Data Science: MA371, SE375 or MA376, MA476, MA462, MA372, MA388
- Graphs and Topology: MA461, MA493D, MA394
- Numerical Methods and Optimization: MA381, MA396, MA481
- Engineering Math: MA364 or MA365, MA484, MA371, MA363, MA396
To learn more, view the full Mathematics Minor Curriculum.
Cadets in this minor will have the opportunity to conduct research with the Center with Artificial Intelligence, Data Engineering, and Machine Learning (AIDE-ML) Program or to apply for a summer Academic Individual Advanced Development (AIAD) program, USMA-run academic enrichment experience. To learn more about enrichment for this area of study, visit the Department of Mathematical Sciences or the Center with Artificial Intelligence, Data Engineering, and Machine Learning (AIDE-ML) Program.