Kellogg’s unique approach to data analytics
It’s been a busy few weeks for data analytics at Kellogg. Earlier this month, Professor Florian Zettelmeyer hosted a panel discussion about the topic with prominent alumni at Facebook headquarters in Menlo Park, Calif. And this past weekend, three One-Year MBA students took first place in the Adobe Digital Analytics Competition, where they walked away with a check for $15,000.
With all the buzz about big data, Kellogg continues to be focused on preparing business leaders to harness the power of analytics.
“We believe that data analytics is fundamentally a leadership problem, and not primarily a data science or a technology problem,” Zettelmeyer said at the Facebook event. “While it’s true that data scientists are in short supply, I think what is even more in short supply are managers who know how to operate and lead effectively in this space.”
Zettelmeyer is the director of the Program on Data Analytics at Kellogg. The program is made up of a cross-disciplinary curriculum split into three sections, depending on the level of expertise students are looking to achieve.
- To prepare for learning analytics,
- students should take the Foundational courses. These are core courses that all students – regardless of their interest in data analytics – are required to take.
- To obtain a working knowledge of analytics,
- students should take the Foundational courses and Competitive Advantage courses. The latter classes are organized by different business problems where data analytics adds value.
- To become fluent in analytics,
- students should take the Foundational courses, Competitive Advantage courses, Deep-Dive courses and the Experiential lab. These courses provide depth in key aspects of analytics and help you gain real-world experience.
In addition to the distinct curriculum, the program benefits from collaborative relationships with companies on the cutting edge of big data and analytics, as well as proven thought leadership led by faculty members who drive and inspire conversations surrounding the intersection of business and analytics.