Artificial Intelligence and Data Science for Leaders
Learn the latest AI and data science technologies, tools, and best practices to become a better leader.
Enroll
At a Glance
- Type
- Professional Education
- Enrollment
- Open Enrollment
- Duration
- 8 Weeks Part-time
- Format
- Online
- Cost
-
$2,500
Learn about the current trends in data science and machine learning from industry insiders.
The eight-week Artificial Intelligence (AI) and Data Science for Leaders program at the University of Chicago is designed to future-fit your business for the digital age. Learn about statistical inference, machine learning, and emerging technologies to smoothly integrate AI into your organization and optimize the way your employees work with machines.
Designed For
Designed for managers and leaders across different industries who want to increase their understanding of AI and those that work with technical teams, analytics groups, and others who leverage data science to create value. Managers seeking to build and lead an AI-driven organization will also benefit from this program.
More and more companies are making use of AI as a way of increasing productivity. But what exactly is AI and why is it so important for today’s organizations? Our program will teach you to distinguish between the myths and opportunities that data science presents for your business with statistical inference and machine learning, as well as emerging tools such as auto machine learning and AI.
After completing the program, you will be able to:
- Create a strategy for your organization that makes use of AI to accomplish business goals
- Build a team for success in an AI world
- Choose the best areas for early stage development, and understand how to scale AI solutions
Is your company future-fit?
Learn how the AI and Data Science for Leaders certificate program can bring your company to the next level.
Learn moreCurriculum
The courses are designed to introduce you to the range of new data science and artificial intelligence technologies and tools. You will learn to:
- Identify new skills necessary for your business
- Develop a strategic plan to manage change within your team, function, or organization
- Identify the risks and rewards of new data science projects
Program Structure
- Eight weeks in length
- Weekly, self-paced interactive learning modules and assignments are time-sensitive and should be completed by the set deadlines
- Synchronous sessions and live question and answer sessions
- Mentors to provide continuous support and encourage a dynamic and positive learning environment
Meet Your Instructors
Greg Green, PhD
Executive Director, Analytics Programs at the University of Chicago
As executive director of analytics programs at the University of Chicago, Greg Green architects and leads programs that strategically apply analytics to solve complex industry problems with greater speed and impact.
Throughout his professional career, Greg has used his expertise in digital strategies, business analytics, and new product development to drive rapid revenue growth and accelerate business transformation. His previous work bringing innovation to an academic environment included authoring a Marketing Analytics course, designing a prerequisite applied statistics course for full- and part-time programs, and serving as a lecturer for Marketing Analytics and a Foundational Statistics Bootcamp at Northwestern University.
Greg’s industry roles include chief analytics officer at Harland Clarke Holdings, director at Google, EVP/managing director at Publicis Groupe, and analytics practice lead at PwC. Greg’s patented cloud-based media analytics platform was highlighted in Harvard Business Review and Fast Company.
Greg holds a doctor of philosophy in mathematics from Claremont Graduate School and a master of science in statistics from Michigan State University.
Nalini Polavarapu, PhD
Head of Data Science, Customer Centricity, Bayer
Dr. Nalini Polavarapu has been with Bayer for over ten years and leads data science strategy for a global team of analytical and IT professionals, specialized in machine learning, operations research, and cloud analytics to deliver better products to market faster through data science. Nalini also serves as the senior leader on the Data Science Center of Excellence Council. Over the course of her career, she has initiated multiple external partnerships and collaborations with start-ups, large corporations, and universities. She was the first data scientist at Monsanto and played a key role in building its world-class global data science program. Nalini has a PhD and dual MSc in computer science and bioinformatics from the Georgia Institute of Technology in Atlanta. Nalini has authored and co-authored several analytical patents, research articles in leading scientific journals, as well as book chapters on high throughput data analysis and applications.
Utku Pamuksuz, PhD
Chief Data Scientist and Analytics Lecturer, University of Chicago
Dr. Utku Pamuksuz is a data analytics researcher with expertise in data science, business analytics, applied mathematics, and machine/deep learning. He has taught analytics courses at the University of Chicago and the University of Illinois at Urbana Champaign. He has been an invited speaker including keynote sessions in academic and professional seminars in Europe, Asia, and the US on the application and development of data analytics in the areas of management, finance, strategy, healthcare, e-commerce, and quantitative marketing. He holds a PhD from UIUC and an MSc in computer science from Northwestern University. Dr. Pamuksuz has led data science teams at several Fortune 500 companies and co-founded Inference Analytics in 2018. He currently works as a computational scientist at Argonne National Laboratory.
Offered by The University of Chicago's Professional Education
Business and Management
Today’s dynamic work environment requires leaders who can consistently innovate, make data-driven decisions, and inspire others to perform. Whether you’re in policy, marketing or management, learn ways to spark change wherever you go.
Learn more about Business and Management
