Emory University

What you'll study

The programme combines core theory courses with computational and applied electives so you can customise your route through the subject.

• Core modules: single- and multivariable calculus, linear algebra, differential equations, real analysis and abstract algebra – courses that develop formal reasoning and proof skills.
• Computational and applied modules: numerical analysis, scientific computing, mathematical modelling, computational linear algebra and algorithms for numerical computation. These classes emphasise implementation, error analysis and performance.
• Probability and statistics: introductory probability, mathematical statistics and applied data analysis to support work in data science and stochastic modelling.
• Advanced and elective topics: dynamical systems, optimisation, topology, combinatorics and discrete mathematics, as well as project-based courses that apply mathematics to biology, finance or engineering problems.
• Programming and software: instruction in languages and tools commonly used for numerical work (for example Python, MATLAB or Julia), version control and high-performance computing concepts.
• Research and capstone: opportunities for independent study, honours theses and faculty-supervised research projects that allow students to pursue original computational or theoretical investigations.

Entry requirements

Emory seeks applicants with a strong foundation in high-school mathematics. Typical preparation includes calculus and, where available, additional courses in statistics or advanced maths. Admission to Emory is holistic: academic record and the strength of quantitative coursework are important, alongside the rest of the high-school transcript, recommendations, essays and extracurricular evidence of mathematical engagement. For transfer or internal major declaration, successful applicants normally have completed introductory calculus and additional coursework in mathematics or computing.

Career prospects

Graduates are well placed for a wide range of careers that value quantitative and computational skills. Common destinations include data science and analytics, software and systems engineering, quantitative finance and risk analysis, actuarial work, operations research and consulting. Many students continue to postgraduate study in mathematics, computer science, statistics or applied fields such as biostatistics, machine learning and engineering. Emory alumni also leverage internships and industry links in Atlanta and beyond to enter research laboratories, tech companies and public-sector analytic roles.

Why study at Emory University

Emory combines a liberal-arts learning environment with access to research-active faculty and modern computational resources. Class sizes in upper-level mathematics courses allow close interaction with professors, and there are structured opportunities for undergraduate research and honours projects. The university's location in Atlanta offers internships and collaborations with a broad range of institutions, while interdisciplinary programmes make it straightforward to pair mathematics with computer science, statistics, economics or life sciences. Students benefit from advising, career services and a supportive community that helps translate mathematical training into graduate study or professional roles.