The Data Science Major focuses on the analytical tools and critical thinking skills necessary to extract knowledge and insights from massive data sets, and to use these to solve such problems as adapting organizations to a world of big data, helping communities become more sustainable, and identifying threats in digital infrastructures. Students develop theoretical and practical knowledge to analyze data sets, present the data in a meaningful way, and build and use artificial intelligence models to emulate logical, actionable decisions . The program leverages the Bay Area’s culture of innovation and technical advancements to give students hands-on experience and the opportunity to learn from the industry leaders who visit campus, teach courses, and discuss career paths.
Learning Goals
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DEVELOP understanding of data science techniques.
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EXTRACT insights from big data to solve problems in real-world contexts and communicate these solutions effectively.
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DEMONSTRATE knowledge of programming languages and tools for analytics.
Major Requirements
Students who wish to major in Data Science cannot pursue a second degree in Data Analytics.
Students who wish to double major in Data Science and another SEBA major or Computer Science major must fulfill the separate requirements of each major, and the equivalent of at least 18 Carnegie units must be unique to each major.
Students may complete both the Data Science major and a minor in another area of study if they fulfill all requirements of the minor, including at least 9 Carnegie units that do not count towards their major.