Master Certificate in Business Analytics and Applied AI

Bridge the Gap Between Business and Analytics

Next Start Date: August 1, 2026

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Overview

From machine learning and neural networks to generative AI and applied data visualization, new analytical capabilities are transforming how organizations operate, compete, and create value — every minute of every day. In this new era of AI-driven decision-making, strategic analytics fluency has the capability to transform how you lead, how your organization acts on information, and how you build the competitive advantage that sustains performance well into the future — but you have to develop both the conceptual understanding and the hands-on skills to make it work.

Master the full spectrum of business analytics and AI leadership — from interpreting machine learning outputs and evaluating generative AI to applying hands-on analytics techniques across every business function — with a Master Certificate in Business Analytics and Applied AI from Michigan State University.

Required Courses

4 Course Program

Leading in the Age of AI and Machine Learning Course $1,150

4 Week Course View Course

Strategic Leadership in the Era of AI and Advanced Machine Learning Course $1,150

4 Week Course View Course

Mastering Data-Driven Management and Decision Making Course $2,300

8 Week Course View Course

Applying Business Analytics – Using AI Techniques and Data Visualization Course $2,300

8 Week Course View Course

Total $6,348 $6,900

24 Week Program Save up to $552 on 4 course package

* Tuition is determined by the University and does not include books or other fees that may apply. These rates are subject to change at any time during the program or enrollment process.

What You'll Learn

  • The four required courses integrate AI leadership, conceptual data science, and hands-on applied analytics for a comprehensive, business-first approach to analytics and artificial intelligence.
    • Develop practical leadership frameworks for leading teams and organizations through AI-driven change, evaluating AI opportunities at a strategic level, and building the governance and alignment needed to scale AI initiatives sustainably across functions.
    • Master the full analytics lifecycle — from data foundations, preprocessing, and machine learning methods through neural networks, generative AI, large language models, and embeddings — developing the end-to-end fluency needed to evaluate, commission, and communicate data-driven work with confidence.
    • Gain hands-on experience using tools such as Excel and Power BI to apply AI-assisted analytics techniques — including clustering, regression, A/B testing, and binary outcome prediction — and build the ability to interpret outputs accurately and avoid the analytical pitfalls that undermine data-driven decisions.
    • Apply responsible AI principles and explainability frameworks to evaluate AI-generated insights critically, communicate findings to non-technical stakeholders, and lead data-driven decision-making with the clarity, accountability, and confidence that organizations need from their analytics leaders.

Who Should Register

  • The Master Certificate in Business Analytics and Applied AI is designed for:
    • Business professionals and managers in data-rich environments — finance, operations, marketing, consulting, healthcare, and customer analytics — who want the most comprehensive analytics and AI leadership credential available and are ready to invest in the full program to get it.
    • Directors, senior managers, and high-potential professionals planning a significant career move into a role where data literacy, AI fluency, and analytical leadership are expected — and who want a Michigan State University credential that signals that readiness to employers.
    • Professionals who have completed the AI Management and Leadership courses or the Professional Certificate in Business Analytics and Applied AI and want to continue toward the top credential in the vertical — building the complete picture of leadership, conceptual analytics, and hands-on applied skills that defines a master-level analytics professional.