Data Science

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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 facilitate 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.

Faculty

Ahmed Ahmadein, PhD, Assistant Professor
Noha Elfiky, PhD, Associate Professor
Rui Guo, Assistant Professor
Linda Herkenhoff, PhD, Professor
Ameera Ibrahim, PhD, Associate Professor
Anh Nguyen, PhD, Associate Professor
Wenting Pan, PhD, Associate Professor, Business Analytics Department Chair
Navid Sabbaghi, Associate Professor

Program Learning Goals

• Develop in-depth understanding of data science tools and techniques; 

• Extract insights from big data to solve problems in real-world contexts and communicate these solutions effectively; 

• Demonstrate proficiency in programming languages and knowledge of software tools for analytics.

Programs

• Data Science Minor
• Data Science, BS

Courses

• DATA 040 - Business Statistics

• DATA 100 - Probability for Data Science
• DATA 137 - Advanced Quantitative Methods
• DATA 138 - Database Programming for Data Analytics
• DATA 139 - Big Data and Machine Learning
• DATA 140 - Data Visualization
• DATA 196 - Capstone

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