Predicting Extreme Climate Behavior with Machine Learning

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.

Predicting Extreme Climate Behavior with Machine Learning is a non-degree program at the University of Colorado Boulder. It's for students who want to learn about machine learning and data analysis. The program lasts several weeks and helps students master techniques like clustering and dimensionality reduction.

The curriculum covers unsupervised and supervised learning algorithms, including Logistic Regression, Decision Trees, and Neural Networks. Students will apply these skills to real-world climate datasets and gain hands-on experience. They'll also learn about data analysis and machine learning concepts.

After completing this program, students can pursue careers as Data Scientists, Climate Modelers, Research Analysts, or Machine Learning Engineers. They can work in industries like environmental science, research, or technology. Employers may include government agencies, private companies, or non-profit organizations.