Expressway to Data Science: Essential Math Specialization

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 Expressway to Data Science: Essential Math Specialization is a non-degree program that teaches the math skills needed for a career in Data Science. It is taught in English and lasts several weeks, preparing learners for careers in this growing field.

This program covers key math topics like algebra, calculus, linear algebra, and numerical analysis. Learners complete quizzes to test their understanding of the content as they progress, helping them build a strong foundation in math.

After completing this program, learners can work as Data Scientists, Data Engineers, Business Analysts, Quantitative Analysts, or Research Analysts in industries like finance, healthcare, and technology, and can also prepare for CU Boulder's Master of Science in Data Science program.