2026-2027 DRAFT Catalog
Business Analytics, MS
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 Return to: Edward S. Ageno School of Business
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Program Information
The Master of Science in Business Analytics (MSBA) equips students with the knowledge and skills to leverage data analytics and artificial intelligence (AI) to address complex business challenges and drive strategic decision-making in the modern enterprise. In an increasingly AI-driven economy, organizations are transforming how they collect, analyze, and act upon data to gain competitive advantage, automate processes, and create new sources of value. The program introduces students to the expanding landscape of data-driven and AI-enabled decision systems, where analytics, machine learning, and intelligent automation work together to generate insights, support predictive modeling, and guide decision-making. Students learn how to translate data into actionable intelligence that informs strategy, improves operational efficiency, and enhances organizational performance. Given the rapid evolution of analytics technologies, the MSBA program is designed as a flexible and future-oriented program that integrates foundational analytic theory, machine learning concepts, data management practices, and modern analytics platforms. This program approach enables graduates to adapt to new tools, technologies, and analytical methods as they emerge, ensuring long-term relevance in a dynamic technological environment. This program is a STEM-designated degree program. Student Learning Outcomes Graduates of the Master of Science in Business Analytics degree program will have the knowledge and skills to: - Explain and apply the foundational concepts, frameworks, and methodologies underlying business analytics, including data-driven decision-making, and analytical problem formulation.
- Develop advanced knowledge of AI technologies and their emerging, evolving, and disruptive applications in diverse business contexts.
- Explain and apply data governance, data management, and data strategy frameworks that support organizational performance, regulatory compliance, and data quality.
- Acquire, integrate, cleanse, and analyze large-scale data to support advanced data analytics and AI applications.
- Apply descriptive, diagnostic, and predictive analytics techniques to analyze complex business problems and generate actionable insights.
- Develop, evaluate, and deploy machine learning models and AI-based solutions to support business decision-making.
- Leverage generative AI, large language models (LLMs), and intelligent automation, including agentic AI, to augment business analysis, knowledge discovery, and operational workflows.
- Explain and apply analytics-driven decision systems that integrate forecasting, optimization, simulation, and scenario analysis to support strategic and operational planning.
- Communicate analytical insights effectively using advanced data visualization, storytelling, and executive-level decision support tools.
- Evaluate and mitigate risks related to data privacy, cybersecurity, algorithmic bias, and regulatory compliance in AI-enabled systems.
- Translate organizational challenges into AI and analytics solutions and lead cross-functional initiatives that promote data-informed decision cultures.
Requirements for the Master of Science in Business Analytics The Master of Science in Business Analytics requires completion of 30 units in the graduate program, with a cumulative grade-point average of 3.00 or better in courses taken at Golden Gate University that are applicable to the program’s requirements. For further information regarding graduation requirements, see Academic Requirements for Graduate Programs . Graduate Writing Proficiency Requirement Students are expected to possess proficiency in writing to ensure they can be successful in their course of study. Students may meet this requirement by satisfying one of the screening criteria listed under the Graduate Writing Proficiency Requirement . Required Courses - 30 units
- ITM 306 AI Ecosystem & Infrastructure - 3 unit(s)
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Return to: Edward S. Ageno School of Business
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