Hospitality Business Analytics (PhD)

Program Educational Goals

Develop a strategic perspective of data pertinent to the hospitality industry and its relationships with data from related domains for analytical purposes.

Demonstrate competencies to translate data into clear actionable insights in hospitality business decision making.

Conceptualize, develop, and employ quantitative and qualitative methods to solve hospitality business problems in dynamic environments.

Employ descriptive, diagnostic, predictive and prescriptive methods in business analytics to solve complex problems in hospitality business management.

Effectively communicate analytics results that can guide intuitive decision making in the hospitality business.

Emphasize the value of data and analytics to shape the development of courses and programs in hospitality business management education.

Identify ethical dilemmas in hospitality business analytics so as to employ customer-driven solutions in the hospitality industry.

Program Policy Document:

Please see the Program Policy Document for more information.

Requirements for the Degree:

A maximum of 9 credit hours can be transferred from another accredited US university subject to the review and approval by the Graduate Curriculum Committee. The courses to be transferred shouldn’t have counted towards the completion of a degree-granting program.
Students must maintain a 3.0 GPA in all their coursework to be eligible for the degree.

Hospitality Business Core:

15 credits required.

HOSP 601 - Foundations of Hospitality and Sport Management Credit(s): 3 *
HOSP 602 - Customer Experience Management Credit(s): 3 *
HOSP 645 - Advanced Restaurant Management Credit(s): 3 *
HOSP 687 - Hospitality and Sport Revenue Management Credit(s): 3 *
HOSP 848 - Research Methods in Hospitality Credit(s): 3 **

Note:

*These courses can be waived for students who can demonstrate that they have competence in the specific subjects. The determination of waiving these courses is made by the Graduate Director in consultation with the faculty member teaching these courses. In the event that a course is waived, an alternative course must be taken in consultation with the Dissertation Advisor or Graduate Director as applicable. Students need to take a total of 15 credits to complete meeting the requirements for this section.

**Mandatory.

Analytics and Methodology Core:

24 credits required.

ECON 622 - Applied Econometrics I Credit(s): 3
EDUC 812 - Regression and Structural Equation Modeling Credit(s): 3
EDUC 856 - Introduction to Statistical Inference Credit(s): 3
FSAN 815 - Analytics I: Statistical Learning Credit(s): 3
FSAN 830 - Business Process Management Innov Credit(s): 3
HOSP 890 - Hospitality Analytics Research Credit(s): 3 *
STAT 601 - Probability Theory for Operations Research and Statistics Credit(s): 3
STAT 602 - Mathematical Statistics Credit(s): 3
STAT 611 - Regression Analysis Credit(s): 3
STAT 613 - Applied Multivariate Statistics Credit(s): 3
STAT 615 - Design and Analysis of Experiments Credit(s): 3
STAT 675 - Logistic Regression Credit(s): 3

Note:

*Mandatory. An additional 21 credits of analytics and methodology courses have to be taken to meet the 24 credits requirement of this section. Courses have to be taken in consultation with the Dissertation Advisor or Graduate Director as applicable.

Independent Research:

6 credits. All students in residence are required to take at least six research seminars (0 Credits) offered every semester of the year and as listed in the curriculum outline.

HOSP 880 - Independent Research Credit(s): 3 (taken for 6 cr.)
HOSP 892 - Hospitality Research Seminar Credit(s): 0 (taken for 6 semesters)

Dissertation:

HOSP 969 - Doctoral Dissertation Credit(s): 1-12 (taken for 9 cr.)

Hospitality Business Analytics (PhD)

Program Educational Goals

Program Policy Document:

Requirements for the Degree:

Hospitality Business Core:

Note:

Analytics and Methodology Core:

Note:

Independent Research:

Dissertation:

Credits to Total a Minimum of 54

Last Revised for 2023-2024 Academic Year