Integral Calculus and Numerical Analysis for Data Science

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 Integral Calculus and Numerical Analysis for Data Science program is for students who want to learn data science but need to improve their math skills. This non-degree program is taught in English and lasts several weeks. Its main advantage is that it prepares students for more advanced data science courses.

The program's curriculum covers integral calculus, including integration by parts and area under a curve. Students also learn about root-finding methods, matrix decomposition, and partial derivatives. The course includes hands-on exercises to help students understand these concepts better.

After completing this program, students can pursue careers as data analysts, data scientists, or business intelligence developers. They can work in various industries, including finance, healthcare, or technology, for companies like Google, Microsoft, or IBM.