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2025 Undergraduate Catalog

Bachelor of Science in Mathematics

The Bachelor of Science in Mathematics degree explores advanced mathematical theory and analytical methods, while sharpening the student’s critical-thinking skills for solving complex science and technology problems. You will study advanced models for real-world data modeling projects and be taught how to analyze and effectively communicate mathematical theory. Our online math degree is designed for working professionals seeking to expand their knowledge in multiple areas including computer programming, finance, education, logistics, management, engineering, space studies, and more. This flexible degree is also ideal in preparing you for post-graduate education.

Degree Program Objectives

In addition to the institutional and degree level learning objectives, graduates of this program are expected to achieve these learning outcomes:

  • Demonstrate the ability to think critically and systemically through the application of mathematical reasoning.
  • Construct mathematical models, solutions, and proofs that are clear, correct, and complete.
  • Apply mathematics to solve complex, real-world problems and interpret the impact of those solutions in a global and societal context.
  • Apply the awareness of ethical ramifications of the use of mathematical models and solutions to address real-world problems.
  • Communicate with a wide range of audiences.
  • Function effectively on teams with members from diverse disciplines and backgrounds.

Degree at a Glance

Degree Program Requirements

General Education (30 semester hours)

Major Required (48 semester hours)

Students must choose a concentration for this degree program and may select from a Concentration in Applied Mathematics, Concentration in Data Science, or Concentration in Operations Research.

Concentration in Applied Mathematics (21 semester hours)

Offers an overview of how to investigate and solve problems through advanced mathematical theory and analysis. Explores qualitative and quantitative methods of mathematical knowledge. Looks at communicating the theories, methods, and results of advanced analyses verbally or in writing.

In addition to the institutional, general education, and program level learning objectives, the Concentration in Applied Mathematics seeks the following specific learning outcomes of its graduates.

Objectives

Upon successful completion of this concentration, the student will be able to:

  • Apply advanced mathematical theory and analytical methods to investigate and solve problems.
  • Use critical thinking skills in assessing and evaluating problems.
  • Formulate advanced mathematical models.
  • Implement advanced mathematical models to solve problems or provide insights into complex issues.
  • Apply qualitative and quantitative methods from the mathematical domains.
  • Synthesize mathematical knowledge to solve problems in science and technology.
  • Communicate the theory, methods, and results of advanced mathematics analyses verbally and in writing.
Concentration Requirements (21 semester hours)

Concentration in Data Science (21 semester hours)

Provides the foundational building blocks for data science including analytical methods, functional methods and coding, exploratory data analysis, data visualization, and an exploration of the effect of new technologies such as analytics and AI on humanity. Teaches how to obtain data, how to perform data munging and pre-processing, and how to conduct data analyses on a wide variety of data across all disciplines and domains. Examples for data analyses are taken from business, finance, economics, healthcare, and the physical and social sciences.

Objectives

Upon successful completion of this concentration, the student will be able to:

  • Obtain required data and pre-process it for use in data analyses.
  • Understand and use a wide variety of specific data types within the broad classifications of both continuous and categorical data.
  • Determine the best tools, techniques and/or methods to use in conducting a data analysis.
  • Conduct data analyses using a wide variety of tools and methods, modifying those tools and methods as appropriate to achieve increased efficiency in processing and increased effectiveness of the results.
  • Communicate information visually by “telling the story” in the data and in the results of the analyses.
  • Understand the implications of designing, developing, and implementing new technologies such as analytics and AI.
Concentration Requirements (21 semester hours)

Concentration in Operations Research (21 semester hours)

Examines how advanced analysis and operations research is used in the investigation and solution of scientific and technological problems. Covers why critical thinking, problem assessment and evaluation, and the formulation of operational models is essential for solving problems or gaining insights. Teaches how to communicate operations research.

Objectives

Upon successful completion of this concentration, the student will be able to:

  • Apply advanced analytical and operations research methods to investigate and solve problems.
  • Use critical thinking skills in assessing and evaluating problems.
  • Formulate operational models.
  • Implement operational models to solve problems or provide insights into complex issues.
  • Apply qualitative and quantitative methods from the mathematical domains.
  • Synthesize advanced mathematical knowledge to solve problems in science and technology.
  • Communicate the theory, methods and results of operations research analyses verbally and in writing.
Concentration Requirements (21 semester hours)

Final Program Requirement (3 semester hours)

Elective Requirements (18 semester hours)

  1. All literature courses require successful completion of ENGL101-Proficiency in Writing or ENGL110-Making Writing Relevant.

  2. All literature courses require successful completion of ENGL101-Proficiency in Writing or ENGL110-Making Writing Relevant.

  3. Prerequisite: Senior Standing and completion of all major courses prior to enrollment. Must be taken as the last course before graduation.

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