Program Overview

If you like working with numbers, solving puzzles, and searching for patterns, a degree in math from UNT can help you find solutions to complex problems throughout the world. A Bachelor's in mathematics provides you the skills needed to work on important, challenging, real-world problems in business, industry, medicine, government, and scientific research.

Why Earn a Mathematics Degree?

The world is becoming increasingly quantitative. Mathematics plays a crucial role in deciding policies that affect our lives, policies ranging from health and the environment to multi-million dollar investments. Organizations are depending more and more on quantitative reasoning and complex mathematical models to solve their problems.

UNT's mathematics programs will give you the skills you need to work on important, challenging real-world problems in a broad range of highly paid positions in business, industry, government and education. Because math skills have a wide variety of applications, students are required to select a minor, complete the actuary science certificate, or complete a second major.

With an undergraduate mathematics degree, you can:

• Develop new models for evaluating stock options and pricing derivatives,
• Create state-of-the-art techniques for predicting atmospheric reactions and transport of chemical pollution,
• Improve algorithms for computer-aided aircraft design,
• Design procedures for DNA and protein sequencing,
• Develop image and voice recognition systems,
• Help prepare the next generation for the analytically demanding world by teaching mathematics.

Faculty members conduct research in a variety of areas in pure and applied mathematics, including:

• Computational Biology and Bioinformatics
• Machine Learning
• Numerical Analysis
• Optimization
• Uncertainty Quantification
• Conformal, Holomorphic, and Meromorphic Dynamical systems
• Conformal Iterated Functions Systems
• Ergodic Theory and Topological Dynamics
• Open Dynamical Systems
• Random Dynamical Systems
• Thermodynamic Formalism
• Automorphic Forms
• Classical Modular Forms
• Representation Theoretic Methods