Master Certificate in Business Analytics

From predictive analytics and machine learning, AI to the internet of things, new sources and applications of data information flow throughout your organization every minute of every day. In this new age of big data, strategic business analytics has the capabilities to transform how you do business—but you have to effectively leverage that data!

Harness the power of big data when you learn to capture it, structure it, interpret it and apply it with a Master Certificate in Business Analytics from Michigan State University.

Who Should Register

The Master Certificate in Business Analytics is designed for:

• Analysts and data practitioners seeking a holistic, business-based approach to analytics.
• Analytics professionals looking to formalize their experience and expand their knowledge in areas such as data management, statistical foundations and business decision making.
• Managers and senior leaders seeking an end-to-end understanding of business analytics to help drive organization performance and lead their analytics teams.

About MSU's Broad College of Business

Founded in 1855 on the ideals of democratization of knowledge, Michigan State University (MSU) is an inclusive, internationally recognized university with a mission of advancing knowledge and transforming lives. Michigan State University Online is the home to online programs from MSU's Eli Broad College of Business. These flexible programs are offered in a variety of structures and formats and designed for working professionals. Through the convenience of online, video-based e-learning with the added value of face-to-face networking in select programs, you can gain applicable industry knowledge and learn from the faculty thought leaders at one of the top research universities in the world.

Required Courses

What You'll Learn

The three required 8-week courses integrate aspects of business management, data engineering and the natural sciences for a holistic, business-based approach to analytics.

• Master essential data fundamentals like understanding today’s analytics landscape, problem identification and structuring, and data privacy and ethical concerns.
• Understand key analytical, modeling, statistical and programming tools, such as Tableau, R and Microsoft Access.
• Examine the latest trends in the industry, such as how to leverage geographical data from mobile and social media generation and understanding customer lifetime value.