
The Mathematics program at the University of Duke provides students with a rigorous, structured and conceptually rich foundation in pure and applied mathematics. The curriculum develops a deep understanding of mathematical principles through the study of calculus, algebra, analysis, geometry, probability and mathematical modeling. Students explore both theoretical and practical approaches to mathematical problem-solving, gaining essential skills in logical reasoning, quantitative analysis, abstract thinking and proof construction. Through exposure to high-level mathematical concepts, learners build a versatile foundation that supports careers in scientific, academic and technological fields.
Over this four-year Bachelor of Science program, students engage in coursework that strengthens computational proficiency, deepens theoretical understanding and expands mathematical creativity. They work closely with faculty on research-driven projects, analytic seminars and interdisciplinary studies that connect mathematics with fields such as physics, computing, engineering, finance and data science. This integrated structure trains students to analyze complex systems, understand advanced models and interpret mathematical structures across various applications. By graduation, learners achieve strong academic preparation supported by methodological rigor, conceptual depth, research engagement and contextual insight, preparing them for graduate study or quantitative careers.
Year 1 – Foundations in Mathematical Principles
Calculus I
Calculus II
Introduction to Mathematical Reasoning
Linear Algebra
Year 2 – Core Areas of Mathematical Study
Multivariable Calculus
Differential Equations
Research Skills in Mathematics
Probability and Statistical Foundations
Year 3 – Advanced Mathematical Theory
Real Analysis
Abstract Algebra
Mathematical Modeling and Applications
Numerical Methods and Scientific Computing
Year 4 – Specialization & Independent Research
Advanced Seminar in Mathematics
Topics in Geometry or Topology
Independent Research Project
Case Studies in Applied and Theoretical Mathematics
Graduates of this program develop strong analytical, quantitative and logical skills that prepare them for diverse professional roles across academic, technological, financial and scientific sectors. Many pursue careers in data analysis, quantitative finance, research organizations and technology companies, while others work in education, actuarial science, consulting, engineering firms or government agencies that rely on mathematical modeling and problem-solving. The program’s emphasis on abstraction, computation and analytical clarity equips students to reason through complex systems, interpret large datasets and develop innovative solutions across industries. Those who wish to continue their academic journey are well-prepared for graduate study in mathematics, applied mathematics, statistics, data science or related quantitative disciplines.
This program is ideal for students who want to develop deep mathematical expertise through a rigorous and thoughtfully structured curriculum. Its combination of theoretical coursework, analytical training and faculty mentorship provides learners with advanced quantitative skills, strong logical reasoning, broad mathematical insight and evidence-based problem-solving, all essential for success in mathematically intensive fields. The four-year structure allows students to progress from foundational concepts to advanced specialization, preparing them to apply mathematical thinking to scientific, technological and real-world challenges. For individuals seeking an academically powerful and intellectually stimulating pathway in mathematics, this program offers a comprehensive and rewarding educational experience.
For further information, please contact the admissions office at:
Phone: +1 (919) 684-8111
Email: admissions@duke.edu
Address: University of Duke, Durham, North Carolina, United States