This program is pending Chancellor’s Office approval.

This degree is recommended for students who wish to work in the research and development area of industry. This program also prepares a student for graduate study in applied mathematics, numerical analysis, or operations research. Areas of discrete mathematics like graph theory, combinatorics, number theory, and abstract algebra are fundamental in industrial applications like networks, computer algorithms, cryptography, and secure communications. The concentration in Discrete Mathematics, offered by the Department of Mathematics and Statistics, empowers students to grasp high-level discrete mathematics and its intersection with technology and other sciences. Graduates will have the skill set to do both applied industry work in computer science and graduate study in applied discrete mathematics. Moreover, Silicon Valley and similar industries need workers with both theory and practice who are robust under disruptive technologies such as large language models, blockchain, and AI. This concentration provides flexible problem-solvers who understand enough of the theory to adapt to changing job conditions.

Program Learning Outcomes  

Program Roadmaps

The 4-Year Roadmap is available online. Roadmaps should be used in consultation with the catalog and your advisor to identify additional requirements for completing the major (for example, course grade minimums). Associate Degrees (ADT) Pathways are also available online.

Major-Specific Graduation Requirements

All courses in the Preparation and Required in the Major must be completed with a grade of “C- or better”, and the following Preparation for the Major course with a grade of “C or better”: 100W.