Online Bachelor of Science in Mathematics
Develops analytical skills and critical thinking abilities
Flexible program with free electives to customize your degree
Strong foundation in core mathematics principles
Prepares students for professional certifications, including the Actuary P and FM exams, Certified Analytics Professional, SAS Certified Data Scientist, and Google Data Analytics Professional Certificate.
Prepares graduates for careers in finance, data science, actuarial science, education, engineering, technology, and operations research
Admissions
Whether you're a first-time freshman or a transfer student, our admissions team is here to support you from day one.
Apply by
Sep 28, 2026
Classes begin
Oct 19, 2026
I have no college credits
For university acceptance, first-time freshman must meet the following criteria:
- Complete high school Core curriculum for college readiness in place at time of high school graduation
- Not be required to take more than one developmental course
- Have a high school grade point average of at least 2.0
- Meet one of the following:
- Have an ACT composite of 20 or higher
- Have a high school Core grade point average of at least 2.0
I have some college credits
Transfer students to LSUA must meet one of the following sets of criteria:
- Have earned a transferable associate degree or higher
- Have earned at least 18 hours of college-level credit, including a college-level English and college-level mathematics course, with a grade of “C” or higher in each, and an overall GPA of at least 2.0
- Have earned at least 12 hours of college-level credit from LSUE or CLTCC Bridge Program, including a college-level English and college-level mathematics course, with a grade of “C” or higher in each, and an overall GPA of at least 2.0.
- If the above are not met, meet freshman admission requirements and be in good standing with their previous institution
Transfer Credits: LSUA processes transfer credits in accordance with campus policies at the time the courses were taken. Prior to 2020, LSUA did not have a course repeat policy that excluded grades from GPA calculations. As a result, your stated GPA at LSUA may be affected, which could impact your admission decision.
Re-enrollment for LSUA
Although LSUA has six sessions (terms) a year, there are only three semesters (Fall, Spring, and Summer). Summer enrollment is optional and will not affect student records.
One Semester
Students who are not enrolled for one entire semester (both Fall terms or both Spring terms) will need to complete the "I am Coming Back Form" at least two weeks before the term starts to let us know they are returning so we can reactivate their record.
More Than One Semester
Students who are not enrolled for more than one full semester (Fall ELearn1 and ELearn2 AND ELearn1 of Spring – or all of Spring ELearn1 and ELearn2 and ELearn1 of Fall) will have to reapply. Students do not have to resubmit documents that we already have but would need to submit new transcripts from any school attended while absent from LSUA. Re-entry students are eligible to be re-admitted.
Tuition
- 120 credit hours
- Total credit hours per program
- $353
- Cost per credit hour
- $10,590
- Total cost with fees and maximum transfer credits
- $42,360
- Total cost with fees
LSUA offers competitive, flat-rate tuition with no out-of-state fees. Plus, you may be able to save even more by transferring up to 75% of previous credits.
Tuition & Fees
The final cost of this program will be determined once all transfer credits are evaluated. Transfer credits may apply for up to 75% of degree requirements. Your academic advisor will work with you to determine if and how any prior college credits or industry credentials earned will apply toward your LSUA degree. For further information about the approval for transfer credits and other requirements, please visit this site.
Financial aid is available to those who qualify.
The total cost above does not include transfer credit or financial aid. Cost per credit hour and fees are subject to change. Fee schedules may vary by program depending on course-specific fees for proctoring and/or books. Please contact a Student Success Coach for more information.
Financial Aid Available
LSUA offers multiple ways to help you fund your education, including financial aid, veteran education benefits, and credit for prior learning. Learn More ›
Academics
Students who graduate with a Bachelor of Science in Mathematics will acquire a broad understanding of mathematical concepts.
What Will I Learn?
Topics covered in the program include:
- Vector functions, functions of several variables, partial derivatives, multiples integrals, and vector calculus
- An introduction to techniques of mathematical proofs; sets; logic; relations and functions; induction; cardinality; and properties of real numbers
- A beginning course in ordinary differential equations with emphasis on solving linear differential equations
- An introduction to computer programming with an emphasis on problem-solving, program design, and algorithms
- A rigorous analysis of major results in differential and integral calculus
- An introduction to probability, emphasizing concrete problems and applications, random variables, expectation, conditional probability, law of large numbers, central limit theorem, and stochastic processes
- Calculus-based deterministic and non- deterministic methods in mathematical finance
- Characteristics and valuation of common stocks, bonds; function and efficiency of U.S. securities markets; theory and practice of portfolio selection
- Calculus-based treatment of probability distributions, sampling, estimation, testing involving parameters from one and several populations, regression, and independence
- An introductory study of the nature of economics, economic concepts and problems, economic system, and the role of government
- A study of basic economics, exploring theories of production, determination of prices in regulated and unregulated industries, functional distribution, international economics, and problems of economic development
Courses
| General Education | Credit Hours |
|---|---|
ENGL 1001 English Composition |
3 |
ENGL 1002 English Composition II |
3 |
General Education Social Sciences |
6 |
MATH 1550 or MATH 1540/1541 |
4 |
MATH 1552 or MATH 1542/1543 |
4 |
PHYS 2101 General Physics for Technical Students I |
3 |
PHYS 2102 General Physics for Technical Students II |
3 |
General Education Biology |
3 |
General Education Humanities (Communication Studies) |
3 |
General Education Humanities |
6 |
General Education Fine Arts |
3 |
Total Required Credit Hours |
41 |
| Major Foundational Requirements | Credit Hours |
|---|---|
MATH 2057 Calculus III or MATH 2047/2048 |
4 |
MATH 3040 Fundamentals of Mathematics |
3 |
MATH 3065 Elementary Differential Equations |
3 |
MATH 3085 Linear Algebra |
3 |
MATH 3998 Mathematical Communication and Professional Skills |
3 |
MATH 4031 Advanced Calculus I |
3 |
MATH 4200 Abstract Algebra |
3 |
CSCI 1250 Introduction to Computer Programming |
3 |
Total Required Credit Hours |
25 |
| General Mathematics Concentration | Credit Hours |
|---|---|
3000/4000-level MATH |
15 |
3000/4000-level MATH or CSCI 2000-level or above |
3 |
Total Required Credit Hours |
18 |
| Actuarial Science Concentration | Credit Hours |
|---|---|
MATH 3355 Probability |
3 |
MATH 4050 Financial Mathematics or FINC 3826 Investments |
3 |
MATH 4056 Mathematical Statistics |
3 |
ACCT 2001 Financial Accounting |
3 |
ACCT 2101 Managerial Accounting |
3 |
FINC 3715 Business Finance |
3 |
Total Required Credit Hours |
18 |
| Electives | Credit Hours |
|---|---|
English Elective (2000 or above) |
3 |
Free Electives |
27-33 |
Total Required Credit Hours |
36-39 |
| Data Science Concentration | Credit Hours |
|---|---|
MATH 3355 Probability |
3 |
MATH 4056 Mathematical Statistics |
3 |
CSCI 2340 Object-Oriented Design |
3 |
CSCI 2350 Programming and Data Structures |
3 |
CSCI 3102 Data Structures and Algorithms |
3 |
CSCI 4402 Database Systems |
3 |
CSCI 4730 Data Visualization and Predictive Modeling |
3 |
CSCI 4740 Data Mining |
3 |
Total Required Credit Hours |
24 |
Concentrations
The online Bachelor of Science in Mathematics from LSUA offers three unique concentrations.
General Mathematics
The General Mathematics concentration is the most flexible path within LSU Alexandria's online Bachelor of Science in Mathematics, offered through LSU Online, designed for students seeking a broad foundation in mathematical concepts while leaving room to explore other interests.
It pairs upper-level math electives with its free elective hours, allowing students to layer in coursework from fields such as computer science, economics, or education. This concentration provides students with a broad understanding of mathematical concepts and critical-thinking skills that will prepare them for careers of their choosing, including roles in education, technology, and operations research.
Actuarial Science
The Actuarial Science concentration is a mathematics track that prepares students for careers assessing and managing financial risk, typically as actuaries in the insurance, consulting, or pension industries. Students will develop analytical skills through topics including mathematics, statistics, financial economics, quantitative finance, and risk management.
Coursework blends mathematics with financial accounting and business finance, including probability, financial mathematics, mathematical statistics, financial accounting, managerial accounting, and business finance. This builds the quantitative and financial foundation actuaries use to price risk and evaluate long-term financial outcomes. The curriculum is designed to prepare students for the Society of Actuaries' Exam P (Probability) and Exam FM (Financial Mathematics), two of the credentialing exams required to become an actuary.
Data Science
The Data Science concentration is an interdisciplinary program that combines data science, mathematics, and computer science. Students in this concentration gain essential skills in data analysis, machine learning, and statistical methods, preparing them for careers such as data scientists, data analysts, quantitative analysts, and statisticians. Students take a sequence of computer science courses, including object-oriented design, data structures and algorithms, database systems, data visualization and predictive modeling, and data mining, alongside probability and mathematical statistics, so graduates leave with both the theoretical grounding and the applied programming skills the field expects.
Add AI Skills to Your Degree
LSUA's Artificial Intelligence minor helps you build practical knowledge of AI and explore how emerging technologies can be applied across industries and career paths. Learn more
Careers
Graduates can pursue careers in finance, data science, actuarial science, education, engineering, technology, operations research, and more.
Career Opportunities
- Statistician
- Math Teacher
- Financial Analyst
- Actuary
- Data Scientist
- Cryptographer
- Underwriter
- Computational Mathematician
- Grades 6-12 Teacher (with proper certification)
- Insurance Company Executive
- Logician
- Risk Management Specialist
- Theoretical Mathematics Researcher
LSU Alexandria's online Bachelor of Science in Mathematics, delivered through LSU Online, builds the analytical and problem-solving skills that employers across finance, technology, education, and insurance look for, and each concentration points toward a related set of roles. The General Mathematics concentration's broad foundation supports paths like teaching or operations research; Actuarial Science is built around exam-readiness for actuarial credentialing; and Data Science is built around the programming and statistical skills data-focused roles require.
Testimonials
Our BS in Mathematics program offers concentrations in pure mathematics, actuarial science, and data science, supported by dedicated faculty who provide personalized guidance. The program equips students with in-demand skills, preparing them for industry certifications such as the Actuary P and FM exams, Certified Analytics Professional, SAS Certified Data Scientist, and Google Data Analytics Professional Certificate. These certifications may also qualify for prior learning (PLA) credit, providing students with a strong foundation to excel in diverse fields and make meaningful contributions to the world.
