Master of Professional Studies in Game, Entertainment, and Media Analytics

Owned by Katherine Worboys Izsak, created
Oct 11, 2021
2 min read

The Master of Professional Studies in Game, Entertainment, and Media Analytics (GEM Analytics). is a fully-online 30 credit program that trains students to apply analytics and data science methods in support of video games, streaming video, Over-The-Top (OTT) media, mobile games, eSports, traditional media, professional sports, and other current internet-based entertainment products. The GEM Analytics MPS weaves sociotechnical facets of entertainment into the curriculum, enabling students to influence consideration of data privacy, ethical design, and national security concerns in product and service design and deployment.

Graduates will be positioned to support customer profiling, personalization, optimization of content delivery across multiple channels, elongating customer lifetime value, maximizing channel revenues, as well as influencing the creation and development of content in alignment with other business drivers. In addition, students will learn about the sociotechnical facets of entertainment provision to enable them to influence consideration of data privacy, ethical design, and national security concerns in product and service design and deployment.

What do our students learn?

The GEM Analytics MPS graduate should be able to:

  • Work with media/entertainment content and game designers to ascertain their information and analytics requirements and employ analytics techniques to inform the design process

  • Configure and develop reports and corresponding data visualizations to present operational intelligence to business professionals

  • Develop customer profiles and analyze customer behaviors to influence improvements in developing an entertainment experience

  • Develop applications for ingestion, processing, and analysis of static and streaming data

  • Employ Machine Learning/AI and data science methods to develop predictive and prescriptive analytical models to identify business opportunities

  • Integrate real-time analytics into continuously-running applications to drive improved customer experience and profitable behaviors

  • Understand the constraints set by global privacy laws and help in their compliance

  • Determine how to reduce and subsequently eliminate the use of analytics for exploitative methods to increase customer engagement

  • Diminish the use of analytics algorithms to infer conclusions about customer behaviors and characteristics that can lead to implicit stereotyping and marginalization that negatively impact inclusion, accessibility, and equitable treatment of participants

  • Employ analytical methods within entertainment and game environments to increase inclusion, improve accessibility, and promote positive values such as equity and social justice.

What courses do our students take?

The 30-credit curriculum includes these courses:

  • Introduction to Data Science

  • Users & Use Context

  • Game Design

  • Advanced Game, Entertainment, and Media Analytics

  • IoT/Streaming Analytics

  • Data Visualization

  • Introduction to Game, Entertainment, and Media Analytics

  • Big Data Infrastructure

  • Entertainment Environments

  • Information Risk Management