Applied Mathematics and Statistics Emory University

Overview

The Applied Mathematics and Statistics at Emory University provides a comprehensive framework for students to master complex data analysis and mathematical modelling. This joint degree integrates the academic strengths of the Department of Mathematics and the Institute for Quantitative Theory and Methods.

By choosing this programme, students benefit from a curriculum that balances theoretical rigour with practical application. The course is specifically designed for those who enjoy equations and want to apply them to tangible challenges across various global industries. The interdisciplinary nature of the department ensures that learners develop a versatile skill set suitable for modern technical environments.

Why Applied Mathematics and Statistics at Emory University?

The university offers a distinctive teaching environment through the Institute for Quantitative Theory and Methods, providing students with leading-edge analytical tools. Facilities and events such as DataFest allow teams to compete globally by analysing real-world data sets from major organisations. These competitions foster a collaborative atmosphere while building essential networking links with peers and faculty members.

Students can also participate in Mini-Hack events and technical workshops focused on advanced topics like Geographic Information Systems, Data Visualisation, and Python. The Day-One Readiness Certificate programme further enhances the student experience by offering experiential workshops and research opportunities. A mandatory Capstone project allows students to work directly with industry partners to solve actual business problems, ensuring they are prepared for the workforce.

Tuition Fee Breakdown

• International fee: USD 70300 per year
• National fee: USD 70300 per year
• Local fee: USD 70300 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum focuses on equipping students with robust quantitative skills through various technical sessions and projects. Modules may include:

• Mathematics
• Quantitative Theory and Methods
• Geographic Information Systems
• Data Visualisation
• Text Mining
• Python
• Applied Mathematics and Statistics Capstone

Careers with Applied Mathematics and Statistics

Graduates are highly sought after for their ability to extract meaningful insights from complex data sets, a skill in high demand across the global economy. Many alumni secure roles in prestigious organisations, including Accenture, Aetna, Goldman Sachs, Morningstar, and Union Gaming. The programme provides a strong foundation for immediate employment in data science and analytical consultancy.

Furthermore, the degree serves as an excellent springboard for advanced academic study at world-renowned institutions. Previous graduates have successfully pursued postgraduate programmes at Columbia, Carnegie Mellon, Northwestern, and Rutgers universities. The combination of mathematical theory and practical career readiness ensures that students are well-equipped for high-growth sectors and specialised research roles.