Live Online Challenge: Data Manager’s Dilemma

This masterclass will share valuable insights that you can take away and apply immediately to your data-driven projects:

• Experience the different aspects of the "Data Manager’s Dilemma”
• Define your own objective for a given set of data
• Learn key differences between the most popular (and more innovative) Data Management Systems and which system to choose for a given project
• Understand how to unlock the power and additional value from these systems

Thomas Kurnicki is a data and investment market risk consultant. He’s worked at Fortune 500 companies such as Wells Fargo and CBRE in San Francisco and has co-founded two companies in his native Poland.

Thomas specializes in data science and business statistics and is focused on implementing quantitative solutions in the investment management industry. He’s passionate about implementing data-focused projects in fields and industries that are on the verge of technological disruption.

Thomas has two master’s degrees, from Hult International Business School and Warsaw University in Poland, has published multiple research papers, and is currently writing his next book on programming concepts in data science.

At Hult, Thomas teaches core courses for the Master’s in Business Analytics program and electives focusing on subjects related to data science and programming.

Experience the next generation of online learning and discover a new way to earn your MBA.

If you’re looking for a way to study part-time from home, you don’t have to sacrifice the sense of belonging and inspirational moments that come from classroom learning. Hult’s Global Online MBA gives you convenience, community, and a career on your own terms.

What if you could feel like you were in a class on campus when you were really at home? That’s the experience Hult’s Global Online MBA offers. Be transported through your computer to our classrooms in Boston, London, and Dubai and connect with students joining the same class from their homes all over the world.