HADM 6071

Automation, AI and Machine Learning in Hospitality

Course Description

Course information provided by the 2025-2026 Catalog.

The business of hospitality is becoming increasingly data rich, but at the same time this data comes from a variety of sources which need to be updated and cleaned on a regular (often daily) basis prior to analysis and model building. In addition, archival data exists on 3rd party platforms and transactional systems often behind user logins. This course focusses on automating data-driven decision making as it provides an overview of machine learning, artificial intelligence, and automation – through this overview key differences are highlighted with a focus of use cases. The course uses a series of established Microsoft tools (e.g. PowerBI, Power Automate and AI Builder) to provide a hands-on overview of how to automate the ingestion, cleaning and presentation of data for hospitality decision making and reporting. The course culminates with students building their own chat-bot based on the automated extraction of customer level information and feedback.

Prerequisites HADM 7030

Enrollment Priority Enrollment limited to: EMMH students.

Last 4 Terms Offered (None)

Learning Outcomes

• Efficiently perform pivotal skills required to collect, clean and aggregate data essential for today’s dynamic hospitality environment.
• Apply often underutilized, built in data cleaning, query and ingestion tools in MS (Microsoft) Excel, as well as their extension to MS PowerBI and automation though MS Power Automate and decision making with MS AI Builder.
• Use Power Automate to ingest data from secondary sources (e.g. Expedia Partner Central, Google Analytics, TripAdvisor along with other key hospitality data sources – e.g. property management and reservation systems) and leverage the data to make data-driven decisions.

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