Northwestern University

Overview

The PhD program in Engineering Sciences and Applied Mathematics at Northwestern University equips scholars to create and evaluate mathematical models utilized in various scientific and engineering disciplines. This rigorous program emphasizes the development of advanced mathematical techniques to tackle complex, real-world challenges.

What you'll study

Students in this program will delve into a range of advanced topics, including:

• Asymptotic Analysis
• Dynamical Systems
• Numerical Methods
• Differential Equations
• Stability and Bifurcation
• Stochastic Processes

The curriculum includes comprehensive coursework in applied mathematics, followed by a dissertation based on original research. Students will engage in courses such as:

• Differential Equations of Mathematical Physics
• Asymptotic and Perturbation Methods in Applied Mathematics
• Models in Applied Mathematics
• Numerical Solution of Partial Differential Equations
• Responsible Conduct for Research Training

Throughout their studies, students are expected to actively participate in seminars and research discussions to enhance their academic experience.

Entry requirements

Applicants must possess a bachelor's degree from a regionally accredited institution, which may include equivalent non-U.S. degrees. The Graduate School may accept candidates with a three-year bachelor's degree from specific international systems. While applicants can apply before completing their undergraduate studies, they must finalize their degree prior to enrolling at Northwestern.

English proficiency: Applicants are required to demonstrate proficiency in English through standardized tests such as TOEFL or IELTS.

• TOEFL iBT: Minimum score of 57
• IELTS: Minimum score of 7

Career prospects

Graduates of the PhD program in Engineering Sciences and Applied Mathematics are well-prepared for a variety of career paths. They often pursue roles in academia, research institutions, and industries that require advanced mathematical modeling and analytical skills. Potential career opportunities include positions as research scientists, data analysts, and applied mathematicians in sectors such as engineering, finance, healthcare, and technology.