Master of Science in Travel Technology and Analytics (TTA)

Master of Science in Travel Technology and Analytics (TTA)

College of Engineering and Computer Science & Rosen College of Hospitality Management

With rapid changes in technology and analytics, the global travel and tourism industry is undergoing a profound transformation. The College of Engineering & Computer Science and the Rosen College of Hospitality Management have come together to design a program that meets the future needs of the global travel and tourism industry. The MS in Travel Technology & Analytics will forge a new path in interdisciplinary education and contribute to burgeoning interdisciplinary research encompassing engineering, science, and management contextualized by the global travel industry. Diverging from traditional business/management degrees, the MS in Travel Technology & Analytics will focus on prescriptive and predictive techniques to anticipate and solve problems in a forward-looking approach. The first of its kind program in the nation will develop leaders in the multi-billion travel and tourism industry.

Why MS in TTA at UCF?

Orlando and UCF provide a unique advantage for the Travel Technology and Analytics program. Students will have access to a world class tourist destination that will serve as a testbed for learning from existing industry practices and testing proposed innovations. Further, the various global travel analytics companies located in Orlando provide the program with access to the leaders in the industry.

Why TTA and Career Opportunities?

The travel and tourism industry with $8.3 trillion in economic benefits globally is being transformed by rapidly increasing technological innovations and advances and is adapting to these changes by creating new employment opportunities to match. The dynamic nature of the industry and technological advances reveal the need for a workforce with advanced skills:

  • fluency in data science and analytics
  • understanding of complex travel systems
  • strategic problem solving
  • big-picture thinking
  • technical knowledge
  • practical skills aligned with technological advances

Who Should Apply

Candidates for the program should have a strong quantitative background and a strong interest in working at the intersection of emerging technologies and the travel industry.

Admissions Requirement

A Bachelor’s degree in a STEM-related discipline from an accredited institution. Depending on the degree completed, one or more prerequisite courses may be required, namely: STA 2023 (Statistical methods) and STA 3032 (Probability and Statistics for Engineers) or CAP 4630 (Artificial Intelligence).

Travel Technology and Analytics MS *Fall Priority Fall Spring Summer
Domestic Applicants July 1
International Applicants January 15
*Applicants who plan to enroll full time in a degree program and who wish to be considered for university fellowships or assistantships should apply by the Fall Priority date.

For information on general UCF graduate admissions requirements that apply to all prospective students, please visit the Admissions section of the Graduate Catalog. Applicants must apply online ( All requested materials must be submitted by the established deadline.


The program will be 30 credits (18 core/required and 12 electives). There will be no thesis requirement, however, a semester-long applied capstone project (involving industry and approved by the program director) will be required. The curriculum includes six (6) required courses that ensure that students have skills in algorithms and statistical techniques for extracting information in addition to awareness of the global travel and tourism industry including. Although courses can generally be taken in any order, the first two (2) required (co-requisite) courses serve as pre-requisites for all remaining courses in the program.

Required Courses — 18 Credit Hours

HMG 6449 – Smart Travel and Tourism

HMG 6710 – International Tourism Management

ESI 6261 – Service System Quality Engineering

TTE 6667 – Discrete Choice Modeling in Transportation

TTE 6608 – Algorithms and Models for Smart Cities

TTE 6910 – Travel Technology and Analytics Capstone Course

Electives — 12 Credit Hours

Students completing the required courses will take four electives from a set of 16 courses that provide more depth and specialization

Program Brochure

Please see the Program details in a pdf file here.

Where To Apply

For application, please visit here:


Program Affiliated Faculty Members

Program Director

Naveen Eluru
Naveen EluruProgram Director
Room: Eng II 301D
Phone: (407) 823-4815

College of Engineering and Computer Science

Samiul Hasan
Samiul HasanAssistant Professor
Room: Engr II 301-J
Phone: (407) 823-2480
Ahmad Elshennawy
Ahmad ElshennawyProfessor
Room: Eng. II 312
Phone: (407) 823-5742
Gita Reese Sukthankar
Gita Reese SukthankarAssociate Professor
Room: HEC 232
Phone: (407) 823-4305

Rosen College of Hospitality Management

Alan Fyall
Alan FyallAssociate Dean, Academic Affairs
Room: Rosen 231 D
Phone: (407) 903-8808
Arthur Huang
Arthur HuangAssistant Professor
Room: Lake Cay Commons 200H
Phone: (407) 903-8212
Tingting Zhang
Tingting ZhangAssistant Professor
Room: Rosen 284B
Phone: (407) 903-8195

Research Showcase

Please visit the link for examples of Travel Tech Analytic Approaches.