Data Science

The Business Analytics Department advances data science and analytics by conducting original research and training students in developing theoretical and practical knowledge to analyze data, communicate information, perform quantitative analysis, and build and implement artificial intelligence models to emulate logical, actionable decisions. We leverage the Bay Area’s culture of innovation and technical advancements to give students hands-on experience and the opportunity to learn from industry leaders. 

Our goal is to provide students with up-to-date knowledge, cutting edge tools, and critical thinking skills to address real-world problems and confront humanity’s urgent challenges, and to guide graduates to meaningful and sustainable careers.

Our faculty members have expertise in Computer Science, Computer and Information Sciences, Computer Vision and Artificial Intelligence, Data Analytics, Electrical Engineering, Geophysics, Informatics, Information Systems, Management/Organizational Behavior/Human Resources, Management Science, Mathematical and Computational Cognitive Science, Operations and Decision Technologies, and Technology Management.

Faculty

Ahmed Ahmadein, PhD, Assistant Professor

Noha Elfiky, PhD, Associate Professor

Rui Guo, PhD, Assistant Professor

Safwat Hamad, PhD, Visiting Professor

Linda Herkenhoff, PhD, Professor

Ameera Ibrahim, PhD, Associate Professor

Phuong Anh Nguyen, PhD, MBA, Associate Professor, Chair

Wenting Pan, PhD, Associate Professor

Navid Sabbaghi, PhD, Associate Professor

Zahra Sajedinia, PhD, Visiting Professor

Programs

• Data Science, BS

• Data Analytics, BA

• Data Science Minor

Courses

• DATA 105 - Probability and Statistics
• DATA 105L - Probability and Statistics Lab

• DATA 305 - Spreadsheet Modeling & Optimization
• DATA 310 - Data Visualization and Storytelling
• DATA 315 - Database Programming
• DATA 320 - Machine Learning
• DATA 405 - Design of Experiments
• DATA 410 - Natural Language Processing
• DATA 415 - Cloud Computing
• DATA 420 - Data Warehousing
• DATA 485 - Special Topics in Data Science/Analytics
• DATA 495 - Internship
• DATA 496 - Data Science Capstone
• DATA 497 - Independent Study