Business Analytics

The College of Business and Economics proudly offers the Bachelor of Science in Business Analytics (BSBAN)—a designated STEM program that delivers a transformative, high-quality business education. Our mission is to empower students from diverse backgrounds to become innovative business professionals and forward-thinking leaders in a data-driven world.

The BSBAN program bridges the gap between business strategy and cutting-edge technology. Students gain a strong foundation in computational skills while developing deep business insight. The curriculum explores next-generation analytics and emerging technologies, including:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Data Pipelines and IT Systems
  • Blockchain Applications
  • Business Intelligence Tools
  • Digital Strategy

Through a dynamic blend of computer science and business applications, students learn to interpret complex data, extract actionable insights, and drive strategic decision-making. The program emphasizes real-world problem-solving, critical thinking, and ethical leadership.

To further tailor their academic journey, students choose a concentration aligned with their career aspirations, allowing them to specialize in areas such as marketing analytics, financial analytics, operations, or information systems.

Join a program designed to prepare you for the future of business—where data meets strategy, and innovation drives success.

We Offer:

 

Your Future

Career Opportunities Include:

Application Architect • Business Analyst • Chief Data Officer • Chief Technology Officer • Business Consultant • Data Analyst • Data Architect • Data Scientist • Digital Marketing • Financial Analyst • Machine Learning Engineer • Management Analysts • Marketing Communications • Marketing Manager • Market Research Analyst • Operations Research Analysts • Project Manager • Statistician

 

Future Income:

Visit the to learn more about the outlook for your future career.

 

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Courses You Might Take

BAN 310 - Data Analysis with Python I

Students are introduced to widely-used Python libraries for exploratory and quantitative data analysis, along with conceptual foundations such as statistical inference, regression, and matrix for better understanding and mastery of the data analysis toolkits.

BAN 320 - Optimization and Simulation for Business Applications

Students learn to determine the best solution among various choices. Applications include evaluating business decision and environmental impacts, experiment design, analyzing sustainability of outcomes, and illustrating the business implications of each option.

MKTG 305W - Business Communication

Investigation from a social science perspective about theories, processes, and practices of business communication. Students develop abilities to communicate effectively, write and revise business documents, and work to understand communication in business environments and cross-cultural settings.

ITM 338 - Cloud Computing and Ecommerce

A course on the technological and conceptual aspects of cloud computing and its application for E-Commerce. Students will develop skills in implementing business-oriented systems for e-commerce using cloud computing and related information technologies.

BAN 449 - Big Data Technology and Business Applications

An introduction to Big Data concepts, technologies, systems, and applications. Topics include Hadoop distributed file system, input/output, and business application development with big data.

MGMT 455 - AI Enabled Supply Chain and Logistics Analytics

This course showcases real life applications of data analytics in supply chain and logistics management. Students learn to ask the right questions to drive supply chain efficiency, and use the right AI enabled tools to develop data-driven decisions.

Contact Us

College of Business and Economics
  • ÂÌñ»»ÆÞ, East Bay
  • 25800 Carlos Bee Blvd
  • VBT
  • Hayward, CA 94542