MS Travel Technology and Analytics
Orlando, USA
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
May 2025
TUITION FEES
USD 6,664 *
STUDY FORMAT
Distance Learning, On-Campus
* for in-state students | 1,194 USD for out-of-state students
Key Summary
Introduction
UCF’s Master of Science in Travel Technology and Analytics forges a new path in interdisciplinary education encompassing engineering, science and management contextualized by the global travel industry. The program — a first of its kind in the nation — is offered by UCF’s College of Engineering and Computer Science and Rosen College of Hospitality Management, which is ranked in the top 5 among best colleges for hospitality and tourism in the world by CEOWorld magazine and in the ShanghaiRankings for research. The proliferation of new and emerging technologies that make travelling more convenient and efficient, such as ride-sharing mobile apps and third-party booking services, is fueling the industry’s demand for high-tech workers.
Diverging from traditional business/management degrees, the M.S. in Travel Technology and Analytics focuses on prescriptive and predictive techniques to anticipate and solve problems in a forward-looking approach. Courses cover concepts in travel technology, hospitality management and travel analytics, providing you with a solid foundation in the travel and tourism industry. Plus, you’ll have a unique advantage in the program: Access to a world-class tourist destination that gives you hands-on experience in existing industry practices and testing proposed innovations.
The 30-hour master’s degree program is offered partially or fully online. In-person classes are offered at both the Rosen College campus and UCF’s main campus.
Highlights
- UCF’s travel technology and analytics program is the first of its kind in the nation to develop leaders in the travel and tourism industry.
- As the No. 1 travel destination in the U.S., Orlando provides an ideal learning environment for technology professionals to apply their skills in the travel industry.
- Job growth for travel technology and analytics grads is projected to increase 5% nationwide.
- The median pay for travel technology and analytics grads is $94,000.
Application Deadlines
Fall Priority January 15 and July 1 for the Fall semester
Admissions
Scholarships and Funding
Graduate students may receive financial assistance through fellowships, assistantships, tuition support, or loans. For more information, see the College of Graduate Studies Funding website, which describes the types of financial assistance available at UCF and provides general guidance in planning your graduate finances. The Financial Information section of the Graduate Catalog is another key resource.
Fellowship Information
Fellowships are awarded to highly qualified students based on academic merit. They are paid to students through the Office of Student Financial Assistance, based on instructions provided by the College of Graduate Studies. Fellowships are given to support a student's graduate study and do not have a work obligation. For more information, see UCF Graduate Fellowships, which includes descriptions of university fellowships and what students should do to be considered for a fellowship.
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 program will provide employable technical skills including the development of algorithms, discrete choice models, service systems quality engineering, machine learning, digital marketing, and big data management, and computer systems to extract insight from big data. The foregoing will be appropriately contextualized within the global travel industry and its trajectory toward increasing technological innovations that continue to drive the industry. 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.
Curriculum
Discrete Choice Modeling in Transportation
Gain an understanding of multivariate regression analysis, individual choice theory, random utility frameworks, ordered and unordered response models, maximum likelihood approaches, and recent advances in the field.
Smart Travel and Tourism
Survey SMART technologies and applications in the travel and tourism industry — emphasizing the systems view of the interactions among humans, environment and technology.
Travel Technology and Analytics Capstone Course
Identify problems and design, implement and evaluation of appropriate technological and analytical solutions to meet current and future needs in the global travel industry.
Required Courses
18 Total Credits
- Complete all of the following
- Complete the following:
- HMG6449 - Smart Travel and Tourism (3)
- HMG6710 - International Tourism Management (3)
- ESI6261 - Service System Quality Engineering (3)
- TTE6667 - Discrete Choice Modeling in Transportation (3)
- TTE6608 - Algorithms and Models for Smart Cities (3)
- TTE6910 - Travel Technology and Analytics Capstone Course (3)
- HMG6449 - Smart Travel and Tourism (3)
- HMG6710 - International Tourism Management (3)
- ESI6261 - Service System Quality Engineering (3)
- TTE6667 - Discrete Choice Modeling in Transportation (3)
- TTE6608 - Algorithms and Models for Smart Cities (3)
- TTE6910 - Travel Technology and Analytics Capstone Course (3)
- Co-requisite Courses - HMG 6710 and HMG 6449
- Complete the following:
- HMG6449 - Smart Travel and Tourism (3)
- HMG6710 - International Tourism Management (3)
- ESI6261 - Service System Quality Engineering (3)
- TTE6667 - Discrete Choice Modeling in Transportation (3)
- TTE6608 - Algorithms and Models for Smart Cities (3)
- TTE6910 - Travel Technology and Analytics Capstone Course (3)
- Co-requisite Courses - HMG 6710 and HMG 6449
Electives
12 Total Credits
- Complete all of the following
- Tourism and Hospitality Courses
- Complete at least 2 of the following: Technology Courses
- HMG6291 - Hospitality Entrepreneurship: Concept Creation to Capitalization (3)
- HMG6446 - Hospitality/Tourism Information Technology (3)
- HMG6466 - Applied Revenue Management Techniques in Hospitality (3)
- HMG6556 - Digital Marketing and Big Data Management for Hospitality and Tourism (3)
- HMG6565 - Social Media in Hospitality and Tourism (3)
- HMG6566 - Principles of Destination Marketing and Management (3)
- HMG6585 - Data Analysis in Hospitality and Tourism Research (3)
- HMG6738 - Tourism Industry Analysis (3)
- HMG6251 - International Lodging Accommodations Analysis (3)
- HMG6347 - Contemporary Issues in the Resort Industry (3)
- HMG6291 - Hospitality Entrepreneurship: Concept Creation to Capitalization (3)
- HMG6446 - Hospitality/Tourism Information Technology (3)
- HMG6466 - Applied Revenue Management Techniques in Hospitality (3)
- HMG6556 - Digital Marketing and Big Data Management for Hospitality and Tourism (3)
- HMG6565 - Social Media in Hospitality and Tourism (3)
- HMG6566 - Principles of Destination Marketing and Management (3)
- HMG6585 - Data Analysis in Hospitality and Tourism Research (3)
- HMG6738 - Tourism Industry Analysis (3)
- HMG6251 - International Lodging Accommodations Analysis (3)
- HMG6347 - Contemporary Issues in the Resort Industry (3)
- Complete at least 2 of the following:
- CAP5610 - Machine Learning (3)
- CNT5008 - Computer Communication Networks Architecture (3)
- COP5711 - Parallel and Distributed Database Systems (3)
- COP6526 - Parallel and Cloud Computation (3)
- CGN6655 - Regional Planning, Design, and Development (3)
- EIN5117 - Management Information Systems I (3)
- ESI6224 - Quality Management (3)
- ESI6225 - Quality Design and Control (3)
- CAP5610 - Machine Learning (3)
- CNT5008 - Computer Communication Networks Architecture (3)
- COP5711 - Parallel and Distributed Database Systems (3)
- COP6526 - Parallel and Cloud Computation (3)
- CGN6655 - Regional Planning, Design, and Development (3)
- EIN5117 - Management Information Systems I (3)
- ESI6224 - Quality Management (3)
- ESI6225 - Quality Design and Control (3)
- Tourism and Hospitality Courses
- Complete at least 2 of the following: Technology Courses
- HMG6291 - Hospitality Entrepreneurship: Concept Creation to Capitalization (3)
- HMG6446 - Hospitality/Tourism Information Technology (3)
- HMG6466 - Applied Revenue Management Techniques in Hospitality (3)
- HMG6556 - Digital Marketing and Big Data Management for Hospitality and Tourism (3)
- HMG6565 - Social Media in Hospitality and Tourism (3)
- HMG6566 - Principles of Destination Marketing and Management (3)
- HMG6585 - Data Analysis in Hospitality and Tourism Research (3)
- HMG6738 - Tourism Industry Analysis (3)
- HMG6251 - International Lodging Accommodations Analysis (3)
- HMG6347 - Contemporary Issues in the Resort Industry (3)
- Complete at least 2 of the following:
- CAP5610 - Machine Learning (3)
- CNT5008 - Computer Communication Networks Architecture (3)
- COP5711 - Parallel and Distributed Database Systems (3)
- COP6526 - Parallel and Cloud Computation (3)
- CGN6655 - Regional Planning, Design, and Development (3)
- EIN5117 - Management Information Systems I (3)
- ESI6224 - Quality Management (3)
- ESI6225 - Quality Design and Control (3)
Optional Elective Courses
0 Total Credits
- STA 5703 - Data Mining Methodology I 3 Credit Hours STA 6704 - Data Mining Methodology II 3 Credit Hours STA 5206 - Statistical Analysis 3 Credit Hours STA 6714 - Data Preparation 3 Credit Hours
Program Outcome
- Develop a deeper understanding of the travel and tourism industry through training in prediction analytics.
- Gain hands-on experience with travel and tourism-related, real-world challenges through strategic problem solving and technical knowledge.
- Learn practical skills aligned with technological advances to become fluent in data science and analytics.
Program Tuition Fee
Career Opportunities
- Senior Data Integration Analyst
- Lead Data Analyst
- Solution Architect
- Business Analyst/Customer Marketing
- Travel Management Specialist
Faculty
English Language Requirements
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