Fundamentals of Software Architecture for Big Data

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.

This program is a non-degree course for individuals seeking to understand software engineering basics for big data. It's offered by the University of Colorado Boulder and takes place online in English. The course lasts several weeks and helps students build large software systems.

The curriculum covers software engineering concepts, including best practices and data microservices. Students learn to build and scale large, data-intensive systems. They also explore the evolution of distributed systems over time, gaining hands-on experience with real-world applications.

After completing this course, students can pursue careers as software engineers, data architects, or systems designers. They may work in industries like technology, finance, or healthcare for employers such as Google, Microsoft, or IBM. Other potential job titles include data scientist, DevOps engineer, or technical consultant.