Generative AI and large language models (LLMs) are transforming business analytics from a backend function into a strategic driver of growth. What was once the domain of technical teams has now become central to how organizations across industries, from finance to operations, forecast demand, shape strategy, and automate complex processes.
Why Generative AI Matters in Analytics
LLMs such as GPT models and enterprise AI tools are capable of interpreting unstructured data, generating insights, and even creating predictive scenarios that guide real-time decisions. These capabilities are no longer experimental; they’re embedded in everyday workflows, from marketing automation to financial risk modeling.
As generative tools expand in scope, there’s an urgent need for professionals who can apply these technologies responsibly and strategically. It’s not just about knowing how AI works, but about understanding when and why to use it, and how to interpret its output for meaningful business action.
SCU’s Approach: Ethics Meets Innovation
The Online MS in Business Analytics program from the Leavey School of Business at Santa Clara University responds directly to this shift. SCU’s curriculum integrates the technical dimensions of generative AI with courses grounded in ethical leadership and practical application. Students explore real-world use cases while discussing the social and legal implications of AI use in business.
This balance of tech fluency and business alignment prepares graduates to lead high-impact analytics initiatives. Whether evaluating the ROI of an LLM-based model or guiding cross-functional adoption, Online MSBA students learn to ask the right questions, not just build the right tools.
Real Applications: From Finance to Forecasting
Across sectors, generative AI is being used to enhance everything from marketing personalization to predictive analytics. In finance, LLMs support portfolio optimization and scenario planning. In customer service, AI-powered bots provide tailored responses that improve satisfaction while lowering costs.
These advancements require more than technical infrastructure. They demand skilled professionals who understand how to guide implementation and scale AI ethically across business
The Human Factor Still Matters
Despite the promise of generative AI, success still hinges on human insight. Tools can identify trends, but it takes a trained analyst to interpret those trends within a specific business context. That’s why SCU’s Online MSBA program emphasizes both the “how” and the “why” behind data tools, equipping students with communication and leadership skills as well as technical proficiency.
Graduates emerge ready to join teams that are using AI not just to analyze data, but to shape the future of decision-making. For professionals eager to advance their careers in business analytics, this blend of technical, ethical, and strategic training offers a competitive advantage.
Take the Lead in AI-Driven Analytics
Generative AI is a defining force in the next era of business analytics. With SCU’s Online MSBA, you won’t just keep pace, you’ll help lead the transformation.
Explore the Online MSBA program from the Leavey School of Business at Santa Clara University to see how you can gain the skills to lead responsibly in an AI-driven business world. Review tuition and financial aid information and then schedule a call with an admissions outreach advisor to keep moving ahead.