Business Analytics for Decision Making

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 Business Analytics for Decision Making program is a non-degree course for students who want to learn how to create models for decision making. This English-taught program at the University of Colorado Boulder helps students develop skills in cluster analysis, Monte Carlo simulation, and optimization. It lasts several weeks and is available online.

The curriculum covers specific subjects like data reduction, market segmentation, and predictive analytic models. Students develop skills in modeling uncertainty and identifying the best course of action. The program uses the Analytic Solver Platform and basic Excel knowledge, so students don't need to know computer languages or advanced statistics.

After completing this program, students can pursue careers as Business Analysts, Operations Research Analysts, Management Consultants, or Data Scientists. They can work in various industries, including finance, healthcare, or technology, and for employers like consulting firms, government agencies, or private companies.