Nov 09, 2024  
2024-2025 Undergraduate Catalog 
    
2024-2025 Undergraduate Catalog

Mathematics, B.A.


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120 hours (minimum)

Any student earning a Bachelor of Arts (BA) degree must complete a minimum of 39 hours at the 300+ level. These hours are generally completed by the Major Requirements. However, keep this hour requirement in mind as you choose your course work for the requirements in the major. See the complete description of College requirements for a Bachelor of Arts degree .

UK Core Requirements


See the UK Core section of this Catalog for the complete UK Core requirements . The courses listed below are (a) recommended by the college, or (b) required courses that also fulfill UK Core areas. Students should work closely with their advisor to complete the UK Core requirements.

I. Intellectual Inquiry in Arts and Creativity


II. Intellectual Inquiry in the Humanities


III. Intellectual Inquiry in the Social Sciences


IV. Intellectual Inquiry in the Natural, Physical, and Mathematical Sciences


V. Composition and Communication I


VI. Composition and Communication II


VII. Quantitative Foundations


VIII. Statistical Inferential Reasoning


IX. Community, Culture and Citizenship in the USA


X. Global Dynamics


UK Core hours: 31


Graduation Composition and Communication Requirement (GCCR)


Subtotal: Graduation Composition and Communication Requirement hours (GCCR): 3


College Requirements


I. Foreign Language: 0-14


(placement exam recommended)

II. Disciplinary Requirements


a. Natural Science: 6


b. Social Science: 6


c. Humanities: 6


III. Laboratory or Field Work: 1


IV. Race and Ethnicity Requirement: 0-3


V. Electives: 6


College Requirement hours: 25-42


Premajor hours: 10-11


Major Requirements


Subtotal: Major hours: 7


Track Requirements


Foundations of Mathematics Track


The Foundations of Mathematics track trains students in the practice of modern mathematics. Students in this track learn the core topics of analysis, algebra, and topology, and take elective mathematics courses according to their interests and career goals. Through their coursework, students will gain valuable experience in problem solving as well as the construction and communication of logical arguments - skills valued by industry, government, and academia. The goal of the Foundations of Mathematics track is to prepare students to be competitive for both careers in industries that prize creativity and for graduate programs in mathematics or related fields such as data science, statistics, or applied mathematics.

Applied Mathematics, Modeling, and Optimization Track


The Applied Mathematics, Modeling, and Optimization track provides a broad background in mathematics and its applications, with a focus on mathematical modeling and algorithms used in interdisciplinary settings such as in scheduling and routing problems, network analysis, secure communications, resource allocation, economics, biology, and biomedicine. Students will learn about fundamental results in probability, game theory, graph theory, mathematical modeling, linear programming, stability analysis, and uncertainty quantification, along with topics in elective mathematics courses that align with students’ personal interests and career goals. Students will understand both how mathematical approaches are applied to solve problems and why the underlying mathematical theory is correct. The goal of the Applied Mathematics, Modeling, and Optimization track is to prepare students for a career in pharmaceutical companies or financial institutions, industrial or government research, public policy, security analysis, K-12 and higher education, technical or scientific writing, and more.

Mathematics of Data, Computation, and Finance Track


The Mathematics of Data, Computation, and Finance track provides a broad background in computational mathematics, with a focus on developing both mathematical concepts and algorithms that arise in data science and machine learning as well as tools needed to model and analyze a wide range of phenomena in fields where uncertainty plays a role such as finance, physics, engineering, and biology. Students will learn about fundamental results in computational mathematics, probability, statistics, financial mathematics, and machine learning algorithms along with topics in elective mathematics courses that align with students’ personal interests and career goals. Students will understand both how mathematical approaches are applied to solve problems and why the underlying mathematical theory is correct. The goal of the Mathematics of Data, Computation, and Finance track is to prepare students for career that focus on data science, computational science, engineering, and finance, whether they are interested in applying mathematics to solve real-world problems or building a mathematical foundation for advanced studies in a related discipline.

General Mathematics Track


This is the default track for students who do not declare another track.

Complete 21 credit hours of additional MA courses above MA 213 , with the exclusion of MA 241 MA 308 MA 322 , and MA 391 . Of these 21 credit hours, a maximum of 3 hours can be independent work in mathematics (MA 395 ). Students pursuing this track must plan their coursework in such a way to be compliant with the prerequisites of the GCCR course, MA 391 .

Total Track Hours: 21


Electives


Choose electives to lead to the minimum total of 120 hours required for graduation.

Total Minimum Hours Required for Degree: 120


*Course used towards completion of a UK Core Requirement.

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