Emory University

What you'll study

The degree combines core courses, electives and a capstone experience or honours option. Typical subject areas include:

• Calculus sequence — single-variable and multivariable calculus with applications.
• Differential equations — ordinary and partial differential equations used in modelling dynamic systems.
• Linear algebra — vector spaces, matrices, eigenvalues and their applications to computations and modelling.
• Real analysis — rigorous treatment of limits, continuity, sequences and series for a theoretical foundation.
• Probability theory — measure-based and combinatorial approaches to randomness and distributions.
• Statistical methods — inference, regression, experimental design, and categorical data analysis.
• Applied statistics and data analysis — computational statistics, bootstrapping, machine learning introductions and working with statistical software (R, Python, etc.).
• Mathematical modelling — building and analysing models for problems in biology, physics, economics and social science.
• Electives and special topics — courses such as numerical analysis, stochastic processes, time series, optimisation, actuarial mathematics, and computational linear algebra.
• Capstone / honours project — an independent research project or applied practicum under faculty supervision is available for students pursuing honours or a culminating experience.

Entry requirements

Admission is competitive and evaluates academic preparation, quantitative readiness and overall fit. Typical expectations include:

• A secondary school diploma or equivalent with strong performance in mathematics (calculus if available) and science.
• A record of coursework demonstrating quantitative preparation: algebra, geometry, trigonometry and preferably pre-calculus or calculus.
• Standardised test scores where submitted are considered holistically alongside the full application; test-optional policies may apply.
• Supporting materials such as a personal statement, teacher or school counsellor recommendations, and any relevant academic or extracurricular mathematics experience (competitions, research, internships).

Transfer applicants should typically present college-level calculus and a statistics or linear algebra course. Placement testing may be used to determine first-year course placement.

Career prospects

Graduates enter a wide range of careers that rely on quantitative skills. Common paths include:

• Data analyst, data scientist or business analyst roles across finance, technology, consulting and healthcare.
• Actuarial positions and insurance risk roles (often combined with professional actuarial exams).
• Quantitative roles in finance, algorithm development and operations research.
• Research or teaching in mathematics and statistics at the secondary or postsecondary level (often after additional certification or graduate study).
• Further study in statistics, applied mathematics, computational science, economics or related graduate programmes.
• Technical roles in public policy, biostatistics, epidemiology and environmental modelling that leverage statistical and modelling expertise.

Why study at Emory University

Emory combines a research-active mathematics and statistics faculty with small-class teaching and opportunities for close mentorship. Students benefit from cross-disciplinary collaboration with departments such as computer science, economics and public health, access to research projects and internship connections within Atlanta’s diverse industry and healthcare sectors. The department supports undergraduate research, honours work and practicum experiences that prepare students for professional roles or graduate study.