Department website: http://www.atu.edu/cmp

The mathematics curriculum is designed to equip students with a strong foundation in mathematical theory, logical reasoning, and problem-solving techniques. Students explore core areas such as calculus, linear algebra and statistics, while also having opportunities to study advanced topics like real analysis, abstract algebra and mathematical modeling. Through rigorous coursework, students develop critical thinking, quantitative reasoning, computational skills and communication skills applicable across a wide range of disciplines.

A degree in mathematics prepares graduates for diverse career paths, including roles in data science, finance, actuarial science, cryptography, operations research, software development, and education. Additionally, it provides a strong foundation for further studies in graduate programs in pure or applied mathematics, statistics, engineering, economics, and other quantitative fields. With its emphasis on logical structure and analytical precision, a mathematics degree enables students to approach and solve complex problems in both theoretical and practical contexts.

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See appropriate alternatives or substitutions in "General Education Requirements".

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At least 40 of the total hours required for graduation must be 3000-4000 level courses. 

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MATH 3033 Methods of Teaching Elementary Mathematics and MATH 4703 Special Methods in Mathematics may not be used to satisfy this requirement the 3000-4000 level mathematics elective. MATH 4993 Special Problems in Mathematics may not be used without prior approval of the department head.

• Foundational Knowledge of Mathematics: Graduates will exhibit a deep understanding of core mathematical concepts, including calculus, algebra, and discrete mathematics, and be able to explain and apply these concepts in various contexts.
• Analytical Thinking: Develop the ability to think critically and analytically, applying logical reasoning to solve complex mathematical problems.
• Quantitative Analysis: Graduates acquire skills in data analysis and statistical methods, allowing for the interpretation and manipulation of quantitative information.
• Communication Skills in Mathematics: Graduates will effectively communicate mathematical ideas, both orally and in writing, to diverse audiences, including those without a mathematical background.

For program assessment visit: https://www.atu.edu/assessment/program_assessment.php