Program Overview

Mathematics Master's

Program Overview

The Master of Science (M.S.) in Mathematics is designed to provide students with a deeper understanding of mathematical theory and technique for use in a wide variety of academic and non-academic careers.

Program Type

• Master of Science (M.S.)

Format

• On Campus

Estimated Time to Complete

• 2-3 years

Credit Hours

• 30-36

Program Description

The Department of Mathematics at the University of North Texas provides a collaborative, open, and academically stimulating climate for graduate study. We offer instruction and research leading to Master of Science and Master of Arts degrees in Mathematics. You may follow a program of study that includes pure and applicable mathematics, and you have the freedom to pursue coursework relevant to your career interests.

Marketable Skills

• Creative and analytical thinking
• Creative problem-solving
• Mathematical writing
• Oral and written communication
• Leading recitation sections

Program Highlights

• Research projects and programs are routinely supported by federal and private grants.
• UNT provides a wide variety of services exclusively to graduate students, including the Graduate Writing Support Center and the Office of Research Consulting.
• The Toulouse Graduate School offers several professional development workshops, including Thesis and Dissertation Boot Camps.
• Students have access to our mathematics library, which contains more than 500 mathematics journal subscriptions, most of which are available electronically.
• The Math Lab offers a quiet space to complete homework or receive assistance with specific problems, staffed by students with strong math backgrounds.

Career Outlook

The combination of high-quality mathematical training, expansive instructional training, and practical teaching opportunities will give you a competitive edge in the marketplace. Our students obtain math-related employment in academic and non-academic settings.

Sample Courses

• Modern Algebra (3 hrs)
• Topology (3 hrs)
• Complex Analysis (3 hrs)
• Markov Processes (3 hrs)
• Instructional Issues for the Professional Mathematician (3 hrs)
• Real Analysis (3 hrs)