Master of Science in Technology Management and Data Analytics
The Master of Science in Technology Management and Data Analytics is a 30-credit-hour, non-thesis, interdisciplinary graduate program designed to prepare you to lead in technology-rich, data-driven organizations. From healthcare to information technology, this degree will allow you to analyze and tackle dynamic challenges across industries while gaining skills in:
- Technology Management
- Business Analytics and Data Analytics
- Artificial Intelligence (AI) and Machine Learning
- Strategic Decision-Making
- Responsible Technology Governance
Advance Your Career
Organizations need leaders who can turn complex data into informed decisions. This program prepares you to analyze data, evaluate emerging technologies, solve organizational challenges and communicate technical insights to diverse audiences. Graduates are equipped to lead technological change and drive innovation across business, healthcare, finance, government, information technology and other technology-driven industries.
Flexible Learning
Fully online and asynchronous, you can tailor this program to fit your needs. With both full-time and part-time offerings, as well as fall and spring start dates, the path you choose is up to you.
Curriculum Requirements
The curriculum provides you with a foundation in data analytics, technology management, AI and IT infrastructure. Learn to apply analytical and managerial methods through hands-on projects, real-world datasets and case-based learning. The curriculum culminates in a capstone course in which you will demonstrate your ability to integrate analytics, strategy, government and professional communication.
Required Courses: 24 credits
TMD 5000: Foundations of Data Analytics and Technology Management (3 credits)
TMD 5010: Data Science (3 credits)
TMD 5020: Data Visualization (3 credits)
TMD 5030: Global Perspectives in Technology, Ethics & Strategic Management (3 credits)
TMD 5040: Artificial Intelligence / Machine Learning (3 credits)
TMD/FIN 5050: Financial Management and Financial Technology (3 credits)
TMD 5060: Management of Information Technology and Database Management (3 credits)
TMD/BUS 5800: Business Analytics and Technology Governance - Capstone (3 credits)
Restricted-Elective Courses: 6 credits
Select 6 credits from the following courses in consultation with the graduate program advisor. All course prerequisites apply.
TMD/BUS 5070: Artificial Intelligence Strategy for Business (3 credits)
TMD 5090: Advanced Artificial Intelligence Models (3 credits)
TMD/ACC 5100: Accounting Analytics (3 credits)
TMD/BUS 5130: Healthcare Analytics (3 credits)
TMD/BUS 5140: Human Resource Management Analytics (3 credits)
TMD/MKT 5150: Marketing Analytics (3 credits)
TMD/BUS 5160: Project Management (3 credits)
TMD/BUS 5170: Supply Chain and Logistics Management (3 credits)
TMD 5200: Big Data Management (3 credits)
TMD/BUS 5950: Special Topics in Data Analytics, Technology, and AI (3 credits)
TMD/BUS 5990: Internship (3 credits)
ACC 5250: Accounting Information Systems (3 credits)
Total: 30 graduate credit hours
Admission Requirements
All applicants must satisfy the graduate admission requirements of the College.
Applicants must:
- Complete an online Application for Graduate Study.
- Have earned a baccalaureate and/or graduate degree from a regionally accredited institution of higher education, or its international equivalent, with verified official transcripts submitted before the start of the first semester.
- Submit official transcripts from all previously attended institutions.
- Have a minimum 2.75 GPA on a 4.00 scale in undergraduate study.
- Have completed a minimum of two undergraduate-level statistics courses.
- Have completed at least one programming language course.
- Students who have not yet completed the required prerequisites may be granted conditional admission and provided with a brief, individualized preparatory program.
Applicants who have not earned a baccalaureate degree in the United States must also submit:
- Official English translations of all diplomas, certificates and transcripts that are not already in English.
- Proof of English proficiency through one of the following:
- Test of English as a Foreign Language, Internet-based Test (TOEFL iBT): total score of 80 or above.
- Advanced Placement International English Language (APIEL): a score of 3 or greater.
- Duolingo English Test: a score of 105 or higher.
The English-proficiency requirement is waived for applicants with degrees from institutions where English is the primary language of instruction.
FAQs
Can I work full-time while earning my degree?
The part-time option provides flexibility for working professionals. Work with the graduate advisor to select a manageable course load and confirm current course-delivery options.
Can Graduate Certificate credits count toward the master's degree?
Yes. Students who complete the Graduate Certificate in Technology Management and Data Analytics and are subsequently admitted to the master's program may apply eligible certificate credits toward the 30-credit master's degree, provided the courses satisfy degree requirements and applicable College policies.
Can I begin the program in the spring?
Yes. The program has both fall and spring entry options.
What is the cost of earning the Master of Science in Technology Management and Data Analytics degree at UVA Wise?
Tuition and fees are set annually and are subject to change. Review the current tuition and costs information before enrolling.
Are scholarships or financial aid available for this program?
Need-based and other financial aid may be available to help you complete your degree. To be considered for Virginia state aid and federal student loans, complete the Free Application for Federal Student Aid (FAFSA). A limited number of Bill Gatton Technology & Data Analytics Scholarships may be available to support eligible students. Contact the Financial Aid Office for current eligibility requirements and availability.