Master of Science in Applied Mathematics

All Master's & Doctoral Programs

Master of Science in Applied Mathematics

Format & Location

On-Campus (��Ƶ, CT), Hybrid

School/College

John Charles Meditz College of Arts & Sciences

Students sitting in an intimate classroom setting as they listen to a lecture about applied math.

Start Dates

Fall (September)

Application Deadline

Rolling Admissions

Completion

2 years

Schedule

Full-Time or Part-Time

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��Ƶ University's Master of Science in Applied Mathematics program prepares professionals to apply advanced mathematical tools to solve problems in fields like finance, data science, and engineering.

Enter the industry with any background.

The interdisciplinary applied mathematics program is designed for students who are passionate about mathematics and eager to apply it to solve real-world problems across a variety of fields.

Customize your degree.

You'll have the opportunity to take select courses from ��Ƶ Meditz, Dolan School of Business, and the School of Engineering and Computing, allowing you to apply your mathematical skills to a field that matches your career goals before you graduate.

Build real-world mathematical skills.

��Ƶ’s master’s in applied mathematics equips you with practical math skills to solve real-world problems in fields like finance, data science, and engineering.

Unmatched support every step of the way.

At ��Ƶ, you’ll benefit from personalized mentorship by dedicated faculty, as well as support from research librarians, the Math Center, the Writing Center, and Career Center consultants. Plus, gain access to an extensive digital library filled with journals, databases, and search tools to aid you in your research and dissertation work.

Frequently Asked Questions

��Ƶ University’s Master of Science in Applied Mathematics is designed for students who want to apply advanced mathematical tools to solve real-world problems in fields like finance, data science, and engineering. Unlike the traditional master’s in mathematics, this program focuses less on theoretical courses and more on practical, application-driven learning. Students will take four core courses in their first year, including Applied Statistics, Introduction to Applied Mathematics, and Partial Differential Equations. Beyond the core courses, students can choose from electives, allowing them to tailor their studies to their career interests.

The program also offers flexibility for those who may not be able to commit to a full course load each semester. Additionally, the interdisciplinary nature of the program allows students to take select courses from the Dolan School of Business and the School of Engineering and Computing.

To graduate, students will complete a capstone project, working closely with faculty on a real-world problem that aligns with their career goals.

The program is 30 credits.

No, this program is not organized as a cohort.

Coursework will occur mostly in-person with a few courses online.

The capstone is a project mentored by a faculty member of the department. The student can choose the faculty member and in consultation with them, can choose the project. Projects can be attached to a particular course but can also be in different topics.

The Graduate Aid and Assistantships page has information about financial aid. Please note you must be enrolled in a minimum of 6 credits to receive aid.

Yes, for a list of opportunities please visit the Graduate Assistantship section of the Graduate Aid and Assistantships page.

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