Academic Programs

Radford University's B.A. and B.S. in Mathematics combine rigorous mathematical foundations with flexible, career-focused pathways. Every student completes a common core in calculus, programming, statistics, and advanced mathematics, and then personalizes their degree through guided electives aligned with high-demand careers.

Core Curriculum (33-35 credits)

• MATH 171 Calculus and Analytic Geometry I or MATH 169 Calculus I with Integrated Precalculus II
• MATH 172 Calculus and Analytic Geometry II
• MATH 271 Calculus and Analytic Geometry III
• MATH 260 Linear Algebra
• MATH 301 Introduction to Mathematical Structures
• MATH 346 Ordinary Differential Equations with Computation
• STAT 301 Probability and Statistical Foundations
• INSY 275 Programming with Python or CS Principles of Computer Science I)
• MATH 430 Real Analysis I
• MATH 490 Mathematics Capstone with Industry Applications or EDUC 447 Early Field Experiences in Teaching Mathematics Grades 6-12

Electives and Pathways (15+ credits)

Students personalize their degree through electives in mathematics, statistics, and approved interdisciplinary courses.

Pathway	Career Outcomes	Sample Electives	Capstone/Experiential
Data and Decision Sciences	Data scientist, operations research analyst, business intelligent specialist, analytics professional	STAT 302 Applied Statistical Methods, STAT 330 Applied Statistics with R, STAT 420 Modern Regression Analysis, STAT 427 Statistics for Data Science, MATH 311 Mathematical Cryptography, MATH 440 Machine Learning with AI Applications	MATH 490 Mathematics Capstone with Industry Applications
Statistics and Applied Analysis	Biostatistician, data analyst, policy analyst, market researcher, actuarial preparation, graduate study in statistics	STAT 302 Applied Statistical Methods, STAT 330 Applied Statistics with R, STAT 420 Modern Regression Analysis,  STAT 421 Design of Experiments, STAT 427 Statistics for Data Science,  MATH 440 Machine Learning with AI Applications	MATH 490 Mathematics Capstone with Industry Applications
Actuarial and Financial Mathematics	Actuary, risk analyst, quantitative finance, data modeling, graduate study in applied mathematics	MATH 311 Mathematical Cryptography, MATH 420 Actuarial Mathematics, MATH 440 Machine Learning with AI Applications, MATH 431 Real Analysis II, STAT 427 Statistics for Data Science	MATH 490 Mathematics Capstone with Industry Applications
Mathematics for Teaching	Secondary licensure, curriculum development, graduate study in mathematics education	MATH 235 Fundamentals of Geometry, MATH 335 Foundations of Geometry, MATH 321 History of Mathematics, MATH 412 Number Theory, MATH 423 Abstract Algebra	EDUC 447 Early Field Experiences in Teaching Mathematics Grades 6-12
Graduate and Research Preparation	Graduate study (M.S./Ph.D.), research, higher education teaching	MATH 311 Mathematical Cryptography, MATH 412 Number Theory, MATH 423 Abstract Algebra, MATH 431 Real Analysis II, MATH 434 Numerical Analysis I, STAT 420 Modern Regression Analysis	MATH 490 Mathematics Capstone with Industry Applications

B.S. Requirements (6-8 credits)
Select from physics, biology, chemistry, geology, astronomy, or geospatial science to strengthen connections between mathematics and scientific inquiry.
Secondary licensure students fulfill this requirement through EDUC 467.

Or B.A. Requirements (6-8 credits)
Two courses in one foreign or sign language