Bachelor in Applied Mathematics

The University of Colorado Boulder, founded in 1876 and set against the Rocky Mountains, is a major research university serving more than 37,000 students with nearly 3,000 international learners. CU Boulder is recognized for academic excellence, expansive research programs and a sustainability-driven campus culture. Students benefit from an array of undergraduate, graduate and professional offerings that encourage innovation across science, engineering, business, arts and humanities.

Research, entrepreneurship and experiential learning are central to the CU Boulder experience, with extensive laboratory facilities, innovation labs and co-op or internship pathways that connect students to industry and civic partners. The university supports cross-disciplinary projects and provides robust advising, career services and student organizations that help translate academic interests into practical outcomes and start-up ventures.

Boulder's outdoor lifestyle and proximity to tech hubs create strong opportunities for networking, recreation and balanced living. International students are supported by dedicated offices for admissions, orientation and visa guidance, making the transition smoother. With a large program portfolio and a campus culture that values sustainability, creativity and collaboration, CU Boulder is well suited to students seeking high-impact research experiences and an active campus community.

The Bachelor in Applied Mathematics at the University of Colorado Boulder is a program for students seeking to apply mathematical techniques to real-world problems. This undergraduate degree provides a broad foundation in mathematical areas, preparing students for success in various industries.

The curriculum covers computational methods, probability, statistics, and data science, as well as the application of mathematics to engineering and science. Students develop problem-solving skills and learn to apply mathematical concepts to practical problems.

Graduates can pursue careers as Data Analysts, Mathematical Modelers, Computational Scientists, Statisticians, or Operations Research Analysts, working in fields such as finance, technology, and research.