Artificial Intelligence and Machine Learning

Recent breakthroughs in Artificial Intelligence (“AI”) and Machine Learning (“ML”) are changing many industries, with the sports industry being no exception.  With the sports world embracing data-driven decision making, the demand has never been higher for AI/ML.  Through an emphasis on understanding the concepts underlying AI and ML, this course seeks to demystify these important techniques.  Topics include machine learning (supervised and unsupervised); AI, deep learning, and computer vision; natural language processing; and Python. Students who enjoy sports statistics will be encouraged throughout the course to independently use the data in the sport of their choice to analyze and apply concepts discussed in class.
TGSC1-CE1005 Artificial Intelligence and Machine Learning will be discontinued after spring 2027. Students completing the Certificate in Sports Analytics  should complete the core course Foundations in Sports Analytics by fall 2026. Students completing the Sports Technology and Innovation Certificate should complete the core course Foundations in Digital Disruption by fall 2026.  The three electives for both certificates can be completed in spring 2027. The Certificate in Sports Analytics and the Certificate in Sports Technology and Innovation will be discontinued after spring 2027.  For assistance with registration, please contact sps.info@nyu.edu or 212-998-7150. For additional questions, please contact tischinstitute.ce@nyu.edu.
 
Continuing Education Units (CEU) : 2

You'll walk away with

• An understanding of the concepts underlying Machine Learning and Artificial Intelligence.
• The ability to use Python to apply AI/ML techniques to sports data.
• The ability to understand and discuss how an AI/ML technique can provide insights to issues in the sports industry.