University of Pennsylvania

Overview

The Master of Science (M.S.) in Applied Mathematics and Computational Science at the University of Pennsylvania offers students advanced training in mathematical modeling, computation, and rigorous analysis. This comprehensive program typically spans two years, equipping graduates for a variety of career paths in research, industry roles, or further doctoral studies.

What you'll study

The curriculum emphasizes core graduate preparation, focusing on both advanced mathematical theory and practical computational methods. The specific courses available may vary based on individual background and the academic plan approved by your advisor.

• Advanced Linear Algebra
• Partial Differential Equations
• Mathematical Analysis
• Probability
• Complex Analysis
• Algebraic Techniques
• Laboratory / Applied Computational Work

Students generally complete foundational and core courses in the first year, followed by advanced coursework and applied components in the second year. Some may require additional preparation based on their prior academic experiences.

The program may or may not include a thesis or capstone requirement. It's advisable to confirm with the department regarding whether the M.S. is completed solely through coursework or includes a thesis/project option.

Entry requirements

• Academic background: A solid mathematical foundation comparable to an undergraduate mathematics major is expected from applicants.
• Recommended preparation: It is strongly recommended that students have completed two semesters of mathematical analysis, one semester each of linear algebra, probability, and complex analysis.
• GRE: The current policy regarding GRE requirements should be verified as it may vary by application cycle.
• English proficiency: Applicants must demonstrate English proficiency through tests such as IELTS, TOEFL iBT, or Duolingo English Test. Alternative pathways may be available for those with degrees taught in English.
• Minimum GPA to graduate: A cumulative GPA of 3.0 is required for graduation.
• Application documents: Required materials include letters of recommendation, a personal statement, and a writing sample.

It is essential to verify the application deadlines and intended term of entry for the current admissions cycle.

Career prospects

Graduates of the M.S. in Applied Mathematics and Computational Science program are well-prepared for a diverse range of career opportunities. They may pursue roles in research, data analysis, finance, technology, and academia, leveraging their expertise in mathematical modeling and computational techniques to solve complex problems in various industries.