Mathematics & Statistics
The Department of Mathematics and Statistics offers graduate minors that allow students to strengthen their quantitative, analytical and methodological training while completing a primary graduate degree in another field.
Graduate minors in mathematics and statistics are designed to complement a wide range of programs across Auburn University. Students develop skills in mathematical reasoning, statistical analysis, data interpretation and problem-solving that can support research, teaching and professional work across disciplines.
Graduate Minor in Mathematics
The Graduate Minor in Mathematics provides students with advanced training in mathematical reasoning, theoretical foundations and quantitative problem-solving. The minor is designed for graduate students whose research, academic or professional goals would benefit from a stronger foundation in mathematics.
Students may use the minor to support work in fields that rely on mathematical tools, modeling, formal analysis or advanced quantitative methods. The program can complement graduate study in areas such as science, engineering, education, data science and other disciplines where mathematical thinking is essential.
Areas of Study
Students in the Graduate Minor in Mathematics develop knowledge in advanced mathematical concepts and methods that align with their academic and research goals. Coursework may support interests in theoretical mathematics, applied mathematics, modeling, analysis or other areas of mathematical study.
The minor emphasizes flexible training that helps students connect mathematical concepts to their primary field of study.
Program Structure
Students interested in the Graduate Minor in Mathematics should consult the Department of Mathematics and Statistics or their graduate advisor for current coursework and program requirements.
Coursework is selected to complement the student’s primary graduate program and support their research interests, academic goals and professional plans.
Graduate Minor in Statistics
The Graduate Minor in Statistics provides foundational training in statistical methodology and data analysis for students whose primary field of study involves quantitative research. Designed to complement a wide range of graduate programs, the minor equips students with tools to analyze data, interpret results and apply statistical reasoning within their discipline.
This flexible program is ideal for students seeking to strengthen the methodological rigor of their research and expand their analytical skill set.
Areas of Study
Students in the Graduate Minor in Statistics develop core competencies in statistical theory, applied methods and data analysis. Coursework focuses on the use of statistical techniques to address research questions across diverse fields, including science, engineering, social sciences and health-related disciplines.
The program emphasizes practical application, helping students integrate statistical approaches into their own research and professional work.
Program Structure
The Graduate Minor in Statistics requires a minimum of 12 credit hours of graduate-level statistics coursework. All courses must carry the STAT prefix and are designed to provide advanced training in statistical methods and data analysis.
Students work with advisors to select courses that align with their research interests and academic goals, ensuring the minor complements their primary graduate program.
Interdisciplinary Training
Mathematics and statistics are central to research and discovery across disciplines. These graduate minors help students apply quantitative tools to problems in their own fields, strengthening research design, analysis, modeling and interpretation.
This interdisciplinary approach allows students to connect mathematical and statistical concepts with real-world questions in their areas of study.
Career Preparation
Graduate training in mathematics and statistics is valuable across academic, industry and government settings. Students develop skills in quantitative reasoning, data analysis, modeling and problem-solving that support careers in research, analytics, data science, evaluation, education and other data-intensive fields.
These minors also provide strong preparation for students pursuing advanced research, teaching or professional roles that require mathematical or statistical expertise.
