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2024-25 Academic Catalog

Bachelors (BS) in Mathematics and Data Analytics

Overview

The mathematics and data analytics major offers a 49-semester-hour course of study which prepares students to use creativity to solve physical, statistical, and mathematical problems, think critically via layers of abstraction, and bring insight to process, analyze, and interpret data. This major can include the completion of a business analytics certificate to provide a clear pathway into a high-need job market for data analysts, digital analysts, business analysts, data scientists, and software engineers. Other careers, like teaching and mathematical research, are strengthened by familiarity with data analytics and its utility in the business world. Students are required to obtain a minimum grade of C- in all courses taken for the major.

Degree Outcomes

Graduates with a BS in mathematics and data analytics will:

  • Be able to apply mathematical/statistical ideas with and without technology
  • Clearly communicate, analyze, and prove mathematical ideas
  • Be prepared for graduate study in mathematics, statistics, data analytics, or data science

Major Requirements

Complete the following:
In this course students will be introduced to the tools and techniques of business analytics. Students will learn basic programming and advanced applications of software with business applications. By doing so students will increase their fluency in data and mathematical communication. Upon completion of this course students will be ready to take courses on advanced topics in business analytics and complete the Business Analytics Certificate. Prerequisite: A grade of B- or higher in BUSN 240 Business Statistics or an equivalent 200-level or higher course in statistics or MATH 201 or another 200-level or higher math course, can either be taken as a corequisite or a prerequisite.
A foundational course for the study of computer science and information systems. The course covers an overview of programming methodology and gives the student an ability to write computer programs using standard style and structure. Programming projects are completed in one or more high-level languages. Additional course fee is required. Prerequisite: High school algebra or equivalent.
The class is a study of limits of functions, applications of derivatives, and an introduction to integration. Prerequisite: MATH 190 Precalculus Mathematics or sufficient score on Math Placement Exam (See Mathematics Department).
This course covers the topics of integration techniques, applications of integrals, and infinite series. Other topics potentially covered include polar coordinates, parametric equations, and differential equations. Prerequisite: MATH 201 Calculus I.
A seminar for majors to explore current topics selected by the instructor. Emphasis will be placed on self-reflection of each person’s developed strengths, a highlight of overarching mathematical topics, and career preparation. Prerequisite: Declared major in mathematics and data analytics.
This course is intended to facilitate a smooth transition from lower-level, computation-oriented math courses to upper-level, more theoretical courses. Topics include symbolic logic, methods of proof, and set theory. Prerequisite: MATH 201 Calculus I.
This course is an extension of MATH 201 and 202 Calculus I and II to functions of more than one variable. Topics include vectors, vector-valued functions, partial derivatives, and multiple integration. Prerequisite: MATH 202 Calculus II.
A study of the theory, methods of solution, and applications of ordinary differential equations and the techniques of linear algebra necessary to accomplish that study. Prerequisite: MATH 202 Calculus II.
Introduction to probability and statistics with content and application directed toward the engineering and science disciplines. Topics to be covered include methods of describing data, probability, random variables and their distributions, estimation, hypothesis testing, linear regression and correlation. Prerequisite: MATH 202 Calculus II or equivalent.
A study of sample spaces, combinatorial methods, discrete and continuous distributions, moment-generating functions, the central limit theorem, and connecting these to statistical methods (estimators, confidence intervals, tests of statistical hypotheses, and correlation analyses). Prerequisites: MATH 290 Introduction to Proofs and MATH 330 Applied Statistics.
A study of matrices and their properties and application, linear transformations, and vector spaces. Prerequisite: MATH 290 Introduction to Proofs.
A study of groups, rings, integral domains, fields,polynomial rings, and algebraic number systems. Prerequisites: MATH 411 Advanced Linear Algebra.
An introduction to the fundamental concepts in real analysis including limits, continuity, sequences, series, differentiation, and integration. Prerequisites: MATH 290 Introduction to Proofs and MATH 301 Calculus III.
Complete one mathematics elective:
Any mathematics (MATH) coursework at 300-level or above.
Complete one specialization elective:

Any mathematics (MATH) or computer science (CSIS) coursework at 300-level or above. Taking CSIS 344 Introduction to Data Science, BUSN 401 Decision Science, BUSN 402 Data Visualization, or BUSN 410 Econometrics will complete the prerequisites for BUSN 411 Business Analytics Capstone and lead to the completion of the Business Analytics Certificate.

Choose one of the following:
For students who are NOT also majoring in Computer Science take BUSN 411. For students also majoring in Computer Science take ENGR 482.
Students will integrate competencies of business analytics and decision sciences as they influence the world of business. This capstone course is project-based in nature, and students will incorporate components of the business analytics certificate curriculum. Students will engage externally with business and other stakeholders to complete projects using “data to decision making” processes learned throughout their certificate study. The course culminates in a public oral defense of their work. Prerequisites: BUSN 301 Business Analytics: Intro to Business Intelligence and two (2) other Business Analytics courses from the certificate program passed with a B- or better.
The projects that were initiated in the first semester are further developed through simulation, prototyping, and testing. Use of analytic, computer, experimental, and design techniques is applied throughout the project. The design sequence culminates in the construction of the projects, oral presentations, and formal written reports. Additional course fee is required. Prerequisite: ENGR 481 Senior Design I.