M.S. in Data Science – Specialization in Hospitality Data Analytics

With courses in decision sciences, customer experience design and behavior analysis, revenue optimization, travel and tourism analysis, and predictive modeling, students will be prepared to investigate and report demand factors, design data- driven strategies and improve operational efficiencies.

Required Courses

Core Requirements – 30 Credits

Course Number Course Name Credits
Introduction to Data Science 3
CAP 5771 (or COP 5577) Principles of Data Mining 3
STA 6244 Data Analysis I 3
STA 6247 Data Analysis II 3
Data Science in Hospitality 3
Customer Experience Design & Behavior Analysis 3
Revenue Optimization Science 3
Travel and Tourism Data Analysis 3
CS Course Elective CAP 5610 – Introduction to Machine Learning
CAP 5738 – Data Visualization
CIS 5732 – Fundamentals of Computer Security
Hospitality Data Science Capstone 3

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 Paying for School

View requirements and deadlines for internal and external scholarships and assistantships available to graduate students pursuing a degree in Hospitality Management.