Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

Please tell us a little bit about yourself

Skip to main content
Ontario Tech University
   
    Nov 11, 2026  
2026-2027 Undergraduate Academic Calendar 
    
2026-2027 Undergraduate Academic Calendar
Add to favourites (opens a new window)

INFR 4345U – Game Analytics


The game industry increasingly relies on analytics to enhance decision-making across game design, development, marketing, and player engagement. This course provides a comprehensive introduction to game analytics, focusing on leveraging data-driven techniques, including fundamentals of machine learning and deep learning, to understand player behavior, optimize game design, and predict business outcomes. Topics include data mining fundamentals, behavioral profiling, social network analysis, player retention and churn prediction, matchmaking systems, and monetization strategies. Students will explore practical applications through case studies and hands-on exercises, utilizing advanced analytics tools and techniques to drive innovation and improve the gaming experience. Special emphasis is placed on applying machine learning models, such as clustering, classification, and neural networks, to real-world gaming datasets, bridging analytics insights with game design to create engaging and successful games.
Credit hours: 3
Lecture hours: 3
Tutorial hours: 1.5
Prerequisite(s): Third-year standing or higher



Add to favourites (opens a new window)