Find Online Graduate Programs in Computers & Technology
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Graduate Degree Programs in Computers & Technology
Master of Arts (M.A.) in Journalism & Mass Communication - Emerging Media
The online Emerging Media master's program concentration focuses on interactive digital media and encompasses design, development, digital storytelling, social strategy, data analytics, brand identity, user research, product ideation, project management, and emerging technologies.
Master of Business and Technology
The University of Georgia's online Master of Business and Technology degree is uniquely designed to reinforce your IT skill sets and complement them with project management and leadership expertise.
Master of Education (M.Ed.) in Learning, Design & Technology - Instructional Design & Development
Become an instructional design expert online through the University of Georgia’s online M.Ed. in Learning, Design, & Technology program. UGA's distinguished faculty prepares education, military, healthcare, business, and industry professionals to become highly skilled instructional designers.
Educational Specialist (Ed.S.) in Learning, Design and Technology - Instructional Technology
The University of Georgia’s online Ed.S. in Learning, Design and Technology - Instructional Technology is designed to develop your skills as a practitioner and leader in technology-enhanced education in elementary and secondary schools. This program is designed to prepare professionals to identify and analyze learning problems and then create and implement more effective designs for learning to address these needs. Our goal is to help classroom teachers refine and develop their practice as well as become instructional technology leaders among their peers.
Master of Science (M.S.) in Applied Data Science
The online Master’s degree in Applied Data Science equips working professionals with a blend of statistics, computer science, data science, linguistics, and management information systems. By emphasizing real-world applications, it prepares graduates to tackle complex challenges in data science across industries by combining theoretical foundations with practical problem-solving.