Welcome to Mathematics at West Liberty University. West Liberty University offers a Bachelor of Science in Data Science, a Bachelor of Arts in Secondary Education with a mathematics certification, a Bachelor of Arts in Middle Childhood Education with a mathematics emphasis, and a minor in Mathematics. Each program blends training in mathematics with traditional liberal arts education in the natural sciences, social sciences, fine arts, and humanities. Many of our undergraduate students gain valuable experience working with faculty on research projects.
Our newest mathematics degree is a B.S. in Data Science. Data science is a discipline that lies at the intersection of mathematics, statistics, and computer science. Our program is project focused, allowing students to build an impressive portfolio of data science projects throughout their four years in the program. Combined with essential mathematical and statistical theory, this program will prepare students for immediate employment upon graduation. To find out more about this program, please visit our detailed program page here.
The B.A. in Secondary Education prepares teacher candidates for mathematics certification in grades 5-Adult, and is housed in the College of Education and Human Performance. To find out more about this program, please visit the program page here.
The B.A. in Middle Childhood Education prepares teacher candidates for middle school certification in grades 5-9. Students in this program must select two areas of emphasis, and mathematics is one of those areas of specialization. This degree program is housed in the College of Education and Human Performance. To find out more about this program, please visit the program page here.
The minor in Mathematics is designed to provide students with a strong foundation in Calculus and modern mathematics and is open to all students at West Liberty University.
Bachelor of Science in Data Science
The Bachelor of Science in Data Science prepares students to develop practical and actionable solutions to real-world problems involving small to massive amounts of data by incorporating the entire data science pipeline: problem formulation, data collection, high powered computing, statistical analyses, and meaningful interpretation.
- Introduction to Data Science (MATH 150)
- Introduction to Statistics (MATH 160)
- Introduction to Programming in Python (MATH 175)
- Calculus and Analytic Geometry I (MATH 210)
- Calculus and Analytic Geometry II (MATH 211)
- Calculus and Analytic Geometry III (MATH 212)
- Data Structures (MATH 220)
- Algorithm Design (MATH 320)
- Linear Algebra (MATH 341)
- Technical Communications for the Mathematical Sciences (MATH 350)
- Discrete Mathematics (MATH 374)
- Probability and Statistics I (MATH 464)
- Probability and Statistics II (MATH 465)
- Computational Statistics (MATH 470)
- Machine Learning I (MATH 473)
- Machine Learning II (MATH 474)
- Data Science Capstone I (MATH 482)
- Data Science Capstone II (MATH 483)
- Database Design/SQL (CIS 483)
Restricted Math Electives – 6 credit hours selected from:
- Number Theory (MATH 349)
- Applied Differential Equations (MATH 375)
- Numerical Analysis (MATH 475)
- Special Topics in Mathematics (MATH 478)
- Special Problems in Mathematics (MATH 479)
Download the advising sheet to help guide you in your major.
Download Data Science’s 4-Year Plan