Data Science University of California, Riverside

Overview

The Data Science programme at the University of California, Riverside provides a rigorous academic foundation at the intersection of statistics and computer science. This intercollegiate STEM major is designed to equip students with the technical expertise required to collect, transform, and interpret complex data sets. By integrating theoretical knowledge with practical applications, the university ensures graduates are prepared to solve real-world problems across various industries.

Students benefit from a collaborative educational environment supported by both the Department of Computer Science and Engineering and the Department of Statistics. This unique structure allows learners to choose which college awards their degree, tailoring their breadth requirements to their specific academic interests.

Why Data Science at the University of California, Riverside?

The programme is ABET accredited by the Computing Accreditation Commission, ensuring it meets the highest standards for technical education. A distinguishing feature of the degree is the requirement for students to complete course sequences in other departments, such as biology, economics, or sociology. This interdisciplinary approach allows students to see firsthand how data principles are applied in diverse professional domains.

Facilities and resources are provided by both the Bourns College of Engineering and the College of Natural and Agricultural Sciences. This dual-college support system offers students extensive academic advising and access to a wide range of faculty expertise. The programme's design was inspired by leading reports from the National Academies of Sciences, Engineering, and Medicine, making it a forward-thinking choice for aspiring data professionals.

Tuition Fee Breakdown

• International fee: USD 52536 per year
• National fee: USD 52536 per year
• Local fee: USD 14934 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum integrates core competencies from both computing and statistical disciplines. Modules may include:

• Computer Science and Engineering
• Statistics
• Economics
• Business
• Sociology
• Earth Sciences
• Biology
• Bioinformatics
• Astronomy

Careers with Data Science

Graduates are well-positioned for the rapidly expanding job market, where demand for data scientists continues to outpace supply. The programme prepares students for professional careers in sectors such as finance, insurance, professional services, and information technology. Additionally, manufacturing, healthcare, and retail sectors are increasingly seeking experts who can provide data-driven insights for competitive advantage.

Common career paths include roles as data scientists, analysts, and data managers. The skills acquired during the degree are applicable to positions ranging from entry-level office roles to executive leadership. With the explosion of big data, graduates from this programme are equipped to enter some of the top-rated jobs in the United States, often attracting high starting salaries and long-term career growth.