Undergraduate Badges

Digital badges are verified, online microcredentials that highlight specific skills and knowledge gained during your studies. Easily integrated into resumes, email signatures, and social media, these badges offer a competitive edge in the job market and provide employers a clear way to verify your qualifications.

The following badges are available through, or in coordination with, the Department of Mathematics and Applied Mathematics. Completion criteria, applicable skills, and potential occupations can be found by clicking the title of each badge.

Techniques of Mathematical Analysis

Earners have the foundational skills to utilize technology with basic code to assist in the mathematical analysis of problems. They can solve known problems analytically to provide a basis to gauge if the technology is coded appropriately in order to solve problems that can not be solved analytically.

Computational Mathematics

Earners have the skills to utilize mathematical software and code to perform mathematical analysis of problems. They can implement strategies and numerical algorithms for approximating solutions to common mathematical problems from linear algebra, data science, and differential equations that cannot be solved with analytical methods. Earners can assess the stability of their algorithm and the accuracy of their approximation without knowing the exact solution.

Mathematics of Artificial Intelligence

Earners have the mathematical skills in linear algebra, calculus, probability, optimization, and discrete mathematics to effectively analyze artificial intelligence (AI) and machine learning. They have the quantitative knowledge to understand how modern AI systems are built, optimized, and interpreted. Earners can critically evaluate AI models, understand how to apply frameworks, and the underlying mechanics of algorithms.

Mathematical Modeling

Earners are able to develop and analyze mathematical models in order to gain insight into real-world problems that arise in scientific fields. They can question the reasonability of the model based on its predictions, and logically make changes to the model based on real data to best address the problem at hand.

Quantum Structures

Earners have the skills to understand and utilize the basic mathematical and physical concepts underlying quantum systems. Earners can model and interface with simple quantum systems arising in quantum-based technology including quantum computers.