online bachelor's degree of mathematics
Spring term classes start March.
100% online learning.
Earn your degree on your schedule
$459 per credit hour.
$250 military preferred cost per credit
127 total credit hours.
a mathematics degree for long-term career application.
In our data-driven world, employers are increasingly looking for professionals who can solve complex analytical challenges. Bellevue University’s Bachelor of Science in Mathematics gives you that edge—preparing you to think critically, interpret data, and create solutions that make an impact. As a math major, you can tailor your studies to fit your goals with specializations in business analytics, computer programming, predictive modeling, or secondary education. Whichever track you choose, you’ll gain a solid foundation in calculus, applied statistics, programming, discrete mathematics, and linear and abstract algebra—all designed to prepare you for a successful, future-focused career.
Experience learning that brings mathematics to life.
Through Bellevue University’s Connected Campus, you’ll study in a project-rich environment that blends hands-on learning with interactive online and in-person experiences. You’ll graduate with a portfolio of work that demonstrates your ability to develop mathematical and statistical models, conduct data analysis, interpret findings, and communicate results clearly. You’ll also learn to leverage data for meaningful business decisions—building the analytical and problem-solving skills that are in high demand across industries.
Use your mathematics degree as a launchpad for teaching or graduate study.
A mathematics degree opens doors to many paths. You can use your bachelor’s as a practical foundation for graduate study in fields such as Business Analytics, Computer Information Systems, Data Science, Management of Information Systems, Business Administration, or Industrial and Organizational Psychology. Or, if teaching is your calling, you can pursue the BS in Education program option, which leads toward secondary-level teacher certification with an endorsement in mathematics. This pathway combines professional education coursework, endorsements in one or more subjects, and valuable student teaching experience—helping you inspire the next generation of problem-solvers.
what you'll learn.
In this program, you’ll learn to apply mathematical and analytical skills to solve real-world problems, interpret data, and make informed decisions.
upon graduation, students will be able to:
- Apply mathematical practices to mathematical and real-world problems.
- Develop mathematical and statistical models to analyze data, interpret data and report conclusions drawn from their analyses.
- Use numerical and data analysis to make informed decisions.
Awards
Bellevue Stories
Mathematics degree courses
Current students please login to BRUIN and select “Academic Progress” for your curriculum requirements.
Requirements (36-40 credit hours)
The precalculus course is designed to provide students with a solid foundation in mathematical concepts and skills necessary for success in calculus and other advanced math courses. It covers topics such as functions, algebraic expressions, trigonometry, and analytic geometry. Students will learn to analyze and solve mathematical problems using a variety of techniques and tools. This course aims to develop critical thinking, problem-solving, and analytical skills while fostering a deep understanding of mathematical concepts. Prerequisites: MA 101 or placement via ALEKS Placement Assessment
This course is designed to develop the topics of differential and integral calculus. Topics covered include limits, continuity, derivatives and integrals of algebraic and transcendental functions of one variable. Emphasis will be placed on selecting and using appropriate models and techniques for finding solutions to derivative-related problems with and without technology. Prerequisites: Successful completion of MA 204.
The course deepens understanding of the material and applications learned in MA 205. Topics covered include applications of the definite integral to area, volume, arc length and surface area, and developing additional integration techniques including integration by parts, trigonometric integrals and substitution, partial fractions and numerical methods. Sequences introduced as series are examined using the nth term, integral, comparison, ratio and root tests for convergence. Power series and Taylor and MacLaurin series are introduced. Calculus techniques are applied to parametric and polar equations. Prerequisite: Successful completion of MA 205.
This course provides the theoretical basis and problem-solving experience needed to apply the techniques of descriptive and inferential statistics, to analyze quantitative data, and to improve decision making over a wide range of areas. Topics covered include descriptive statistics, linear regression, data gathering methodologies and probability, as well as confidence intervals and hypothesis testing for one and two samples. Use of technology in solving and interpreting statistical problems is emphasized. Prerequisite: MA 101 or placement via ALEKS Placement Assessment
This course provides an introduction to problem solving and computer programming using the language Python. Students will analyze problems, design and implement solutions and assess the results. Topics include fundamental programming constructs such as variables, expressions, functions, control structures and lists. Emphasis is placed on numerical and data analysis for informed decision making. Prerequisite: None
This course examines the mathematical structures that are fundamentally discrete, and it serves as a bridge from calculus to abstract mathematics. Topics included are sets, relations, functions, induction and other methods of proof, recursion, combinatorics, graph theory and algorithms. Emphasis is placed on proof and applying discrete mathematics to real world problems. Prerequisites: Successful completion of MA 205 .
This course examines systems of linear equations, matrices, determinants, and vectors to motivate the study of linear spaces. Theory and applications are used to explore vector spaces, subspaces, inner product spaces, linear transformations, eigenvalues, eigenvectors, and orthogonality. Prerequisites: Successful completion of MA 315.
Abstract Algebra is the study of the basic underlying structures that occur in mathematical systems. This course introduces the basic ideas and applications of group theory. Elementary properties of groups and functional relationships between groups are studied including cyclic, permutation and symmetric groups, cosets (including Lagrange's theorem), subgroups and normal subgroups, homomorphisms, isomorphisms and abelian groups. Prerequisite: Successful completion of both MA 315 and MA 320.
This emphasis is for those interested in teaching mathematics at the middle or secondary level. The courses were selected to meet the state mathematics requirements for those wishing to teach mathematics in grades 6-12 in Nebraska, though the mathematics requirements are similar in most states. If the student plans to teach in a state other than Nebraska, the student is responsible for ensuring that this course plan will fulfill the mathematics requirements of that state. Education courses are typically also required to obtain state teaching certification. Students who wish to obtain an endorsement to teach mathematics in secondary schools in Nebraska must complete the professional teacher education course sequence (35 Credits) offered on campus.
This course examines counting methods from basic to advanced, including recurrence relations, generating functions, and the Principle of Inclusion-Exclusion. The study of relations, including equivalence relations, elements of graph theory, including graph coloring, and applications of trees, including minimal spanning trees, will also be studied. Prerequisites: Successful completion of MA 315.
The focus of this course is on the historical development and perspectives of mathematics including contributions of significant figures and diverse cultures. The course provides an overview of mathematical history from the earliest counting methods to mathematics today. Mathematical topics typically taught in the secondary classroom will be studied in detail for students to develop the historical context and foundational knowledge necessary to become a successful mathematics educator. Prerequisites: Junior or above standing
This course provides an overview of the field of Geometry by studying applications of Euclidean Geometry using Geogebra as a visualization and verification tool. Emphasis will be placed on building competency in proof. Prerequisite: Successful completion of MA 315.
This capstone course is designed as a culminating experience for pre-service and in-service secondary mathematics teachers. Students will connect the undergraduate mathematics curriculum to the secondary mathematics curriculum through collaboration, exploration and activities. Emphasis will be placed on developing effective mathematics teaching strategies, researching current mathematics teaching theory and using technology to enhance learning. Prerequisites: Junior or above standing.
This emphasis is designed for students wishing to specialize in the field of business analytics. This sequence focuses on the programming and reporting tools used in this field.
This course introduces an analytical toolset to address business problems. The course provides an overview of the key concepts, applications, processes and techniques relevant to data modeling for business intelligence. The course makes use of SAS Enterprise Miner to illustrate the use of business analytics methodologies to enhance decision-making.
This course offers an in-depth exploration of topics in the field of data and information management from an applied perspective with an emphasis on data warehouses. The course is designed to provide not only a strong theoretical foundation, but also the technical skills required in analyzing, designing, implementing, managing, and utilizing information repositories. A variety of topics are covered that include relational database model, data modeling, and database design.
This course is designed to introduce students to the fundamentals of using Tableau Desktop in the context of business and data analytics. Students will learn to demonstrate data visualization in the data analysis process to efficiently wrangle and analyze real-industry data. Exploration of data as it relates to business requirements and business processes will include determining data quality criteria and data modeling techniques through the use of dashboards to create business intelligence.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Ideas from mathematics, statistics and computer science are synthesized to extract useful information contained within data sets. This emphasis will provide students with a foundation in data collection, cleaning, visualization, and analysis, as well as model building.
This course is an introduction to the field of data science and the skills required to be a data scientist. The course explores the basics of data science including: vocabulary, common programming languages, data visualization, presentations, data analysis, the history of information, data ethics, and the data science process. Students should have a better understanding of how they generate data and how data science impacts them as a consumer of this information. Prior programming experience is not needed for this course.
In this course, students will use various techniques and tools to explore, visualize, and present data. Students will be exposed to R, Tableau, and PowerBI to perform initial analysis and view data. Students will use statistics and programming to ask and answer insightful questions regarding data, while also learning basic storytelling and presentation concepts. Students will learn innovative ways to communicate with different levels of leadership and stakeholders.
It is estimated that data scientists spend about 80% of their time finding and cleaning data. The data currently being produced is infinitely variable in its structure, presentation, and scale. This course prepares students for dealing with this infinite variety of data and how to interact with disparate sources of data. Students will be exposed to data structures and data management via Python, SQL, and other tools teaching them how to acquire, prepare, clean, and automate dataset creation. Prerequisite: CIS 245 Intro to Programming.
This emphasis gives students a deeper understanding of two common programming languages, Python and Java, used in the field of computer programming and application development as well as other mathematical fields such as statistics.
This course introduces students to a variety of advanced Python topics. Students will model, design, and implement solutions for both ASCII based, form based, and web based assignments. Topics include incorporating python built-in dictionary and date-time modules, integrating third party library modules, utilizing APIs, designing and completing code testing, building GUI interfaces, and exploring Django web services. Prerequisites: CSD 205 OR CIS 245
This course introduces the concepts of programming using Java 10. This course will cover the basics of the Java programming language syntax. Additional topics covered will be elementary data structures, input/output statements, selection, iteration, methods, and arrays, principles of Object-Oriented (OO). Topics include the language syntax, OO concepts, and advanced features of the Java programming language. Additional topics are inheritance, polymorphisms, abstracts, exception handling, and basic input and output. Students will write programs using all the above-mentioned topics. Prerequisites: CSD 325
It is estimated that data scientists spend about 80% of their time finding and cleaning data. The data currently being produced is infinitely variable in its structure, presentation, and scale. This course prepares students for dealing with this infinite variety of data and how to interact with disparate sources of data. Students will be exposed to data structures and data management via Python, SQL, and other tools teaching them how to acquire, prepare, clean, and automate dataset creation. Prerequisite: CIS 245 Intro to Programming.
This emphasis is designed for students wishing to specialize in the field of predictive analytics, and offers credit for the following courses completed through the course provider Statistics.com at The Institute for Statistics Education. These courses are not offered by Bellevue University and financial aid may not be available in all cases.
This course examines counting methods from basic to advanced, including recurrence relations, generating functions, and the Principle of Inclusion-Exclusion. The study of relations, including equivalence relations, elements of graph theory, including graph coloring, and applications of trees, including minimal spanning trees, will also be studied. Prerequisites: Successful completion of MA 315.
Bellevue University offers credit for the following courses completed through the course provider Statistics.com at The Institute for Statistics Education. These courses are not offered by Bellevue University and financial aid may not be available in all cases.
- Introduction to R Programming (3 credits)
- Predictive Analytics 1 - Machine Learning Tools using R (3 credits)
Choose one of the following:
- Forecasting Analytics (3 credits)
- Predictive Analytics 2 – Neural Nets & Regression using R (3 credits)
Kirkpatrick Signature Series Requirements (9 credit hours)
In addition to the Major Requirements, all Bellevue University students must complete the Kirkpatrick Signature Series.
This course focuses on the political and philosophical traditions of the American republic, especially as embedded in the ideals, values, traditions, founding documents, and institutions of the United States , and considers how these traditions relate to individual citizenship and global society. Prerequisite: 60 Credit Hours
This course focuses on the creative tensions that exist between the forces of tradition and change as the country undergoes social, cultural, and political change. It considers the manner in which change can renew the vitality of a republic. Prerequisite: 60 Credit Hours
This course examines civic engagement in relation to individual freedoms and responsibilities. It fosters engaged citizens, empowered to effect positive change. Prerequisite: 60 Credit Hours
Integrative General Education Credits
Major Requirements Credits
Elective Credits
= 127 total credits*
General Education Courses
Take general education courses that do more than fill a requirement. At Bellevue University, these courses build foundational skills that apply to any career—critical thinking, qualitative reasoning, and ethical leadership. And, you can take courses individually or in course clusters, which connect three courses around one theme, building skills as you go.
About general education requirements >Elective Courses
Our broad selection of electives allows you to select courses related to your major or expand your perspective in other areas of interest.
University Accreditation
Bellevue University is accredited by the Higher Learning Commission ( hlcommission.org ), a regional accreditation agency recognized by the U.S. Department of Education.
Whether a college, university, or program is accredited is important to students receiving financial aid, employers who provide tuition assistance, donors, and the federal government.
This program is considered a non-licensure degree/certificate program and is not intended for those seeking licensure or the practice of licensed profession. This program may be relevant to multiple occupations that do not require licensure and was not designed to meet educational requirements for any specific professional license or certification.
*Consult with an admissions counselor to determine your eligible credits, as well as to verify minimum graduation requirements for this degree. Transfer credits must be from a regionally accredited college or university. Bellevue University makes no promises to prospective students regarding the acceptance of credit awarded by examination, credit for prior learning, or credit for transfer until an evaluation has been conducted.
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Flexible schedule.
Study on your own time with courses designed to fit your busy life—whether you're working, raising a family, or serving in the military.
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Engaging online learning.
Enjoy interactive courses designed for real-world application, with multimedia content, discussions, and hands-on projects.
grow with faculty who’ve been where you are.