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Mathematics Master's
Master of Arts (M.A.) or Master of Science (M.S.)
Program type:
Major
Format:
On Campus
Est. time to complete:
2-3 years
Credit Hours:
30-36
Prepare to tackle complex problems across industries and explore mathematics issues
to new depths with UNT's graduate Math programs.
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 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.
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We're so glad you're interested in UNT! Let us know if you'd like more information and we'll get you everything you need.
Request More InfoWhy Earn a Mathematics Master's?
The Master of Arts degree with a major in mathematics is designed primarily for those students who plan to pursue the PhD degree and who plan careers in college teaching, business or industry.
The M.S. degree provides a deeper understanding of mathematical theory and technique for use in a wide variety of academic and non-academic careers. The M.A. degree prepares you to pursue a Ph.D. degree and for careers in college teaching, business and industry.
In addition to mathematical training, you’ll have opportunities to develop advanced instructional skills. These opportunities include a comprehensive training course for teaching fellows focusing on all types of instructional issues.
Marketable Skills
- Creative and analytical thinking
- Creative problem-solving
- Mathematical writing
- Oral and written communication
- Leading recitation sections
Mathematics Master's Highlights
Research projects and programs are routinely supported by federal and private grants.
UNT provides a wide variety of services exclusively to graduate students. The Graduate
Writing Support Center can help you with writing, and the Office of Research Consulting
offers assistance with statistical research.
The Toulouse Graduate School® offers several professional development workshops, including
Thesis and Dissertation Boot Camps. Many of the workshops are available online for
your convenience.
Students also have access to our mathematics library, which contains more than 500
mathematics journal subscriptions, most of which are available electronically.
The Math Lab offers you a quiet space to complete homework or receive assistance with
specific problems. It’s staffed by students with strong math backgrounds.
Many of our faculty members have published articles in respected journals, worked
as consultants for various businesses and companies, and presented research at conferences
and seminars. Most of them are involved in research ranging from chaos and dynamical
systems to topology.
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.
Mathematics Master's Courses You Could Take
Modern Algebra (3 hrs)
Groups and their generalizations; homomorphism and isomorphism theories; direct sums
and products; orderings; abelian groups and their invariants.
Topology (3 hrs)
Rigorous development of abstract topological spaces, mappings, metric spaces, continua,
product and quotient spaces; introduction to algebraic methods.
Complex Analysis (3 hrs)
Theory of analytic functions from the Cauchy-Riemann and Weierstrass points of view.
Markov Processes (3 hrs)
The ergodic theorem; regular and ergodic Markov chains; absorbing chains and random
walks; mean first passage time; applications to electric circuits, entropy, genetics,
games, decision theory and probability.
Instructional Issues for the Professional Mathematician (3 hrs)
Focus on various instructional issues from the perspective of the professional mathematician.
Some major topics include course planning, the content of a course syllabus, lecture
styles, the preparation and mechanics of lectures, the conduct of problem-solving
sessions, classroom management, the student-instructor relationship, examination formats,
the preparation, administration and grading of examinations and the management of
teaching assistants and graders.
Real Analysis (3 hrs)
Lebesgue measure, the Lebesgue integral, modes of convergence, bounded variation,
absolute continuity, Dini derivatives, convex functions, the classical Banach spaces,
Riesz Representation Theorem.
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