Statistics and Applied Data Analysis 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 Statistics and Applied Data Analysis Specialization is a non-degree program for students who want to gain a strong understanding of statistics and data analysis. This program is offered by the University of Colorado Boulder and takes place online. The main advantage of this program is that it helps students develop a solid foundation in statistics and data analysis.

The curriculum covers traditional and applied statistics, including descriptive statistics, probability, and discrete and continuous probability distributions. Students will also learn about inferential statistics, making decisions, and creating predictive mathematical models. The program uses Microsoft Excel and the statistical computing software R to visualize data and solve statistical problems.

After completing this program, students can pursue careers as Data Analysts, Business Intelligence Developers, Quantitative Analysts, or Operations Research Analysts. They can work in various industries, including finance, healthcare, and technology, and can be employed by companies such as IBM, Google, or Microsoft.