The Radford University M.S. in Data and Information Management combines traditional classroom learning with practical experience, resulting in a curriculum that challenges students to solve real problems for real clients. Class discussions build a theoretical foundation reinforced with hands-on projects enabling students to engage with faculty and industry partners in our advanced and high-tech collaborative workspace.
Undergraduate students enrolled in the School of Computing and Information Sciences at Radford University may apply for the accelerated option at the end of their sophomore year once they have completed 56 credit hours. The accelerated option offers students the opportunity to obtain a master's degree in just one year after graduating with their bachelor's. Furthermore, one of the key benefits of this option is that students are not required to take master's level classes until they actively choose to do so. This flexibility empowers students to achieve their educational aspirations efficiently while maintaining the freedom to shape their own learning experiences.
Undergraduate students may complete up to 12 hours of graduate course work and apply the graduate credit hours to their undergraduate degree.
Transfer students may apply once they complete 24 credit hours at Radford University.
Contact DAIM graduate coordinator, Jeff Pittges, jpittges@radford.edu
The M.S. program educates graduates to the advanced level required to deliver increasingly complex data management solutions while preparing them for successful and rewarding careers.
Students gain the knowledge and experience they need to attain leadership roles at multiple levels from database engineers and administrators to data architects and information managers.
We offer experiential opportunities through our consortium.
The Applied Research Center (ARC) at Radford University is a consortium that brings together students, faculty, and regional industry partners to explore emerging enterprise technologies. The ARC enables students to apply their skills and knowledge to solve industry problems while developing a strong network of industry contacts. This unique environment gives students the practical, hands-on experience they need to become data architects, information managers, and senior database administrators.
For students:
Not only do students learn emerging technologies in the field with practical and hands-on learning methods, but they also develop a strong network of industry contacts.
For corporate partners:
With rapid prototyping and evaluation of emerging technologies, corporate partners address their business challenges head-on and stay current with the newest developments in big data. They also get the opportunity to recruit and connect to some of the industry’s next top tech talents.
All applications require payment of a non-refundable fee of $50. All applicants must submit official transcripts from all colleges and universities attended.
Applicant files are forwarded to the appropriate department for evaluation and a recommendation regarding admission. The final decision on admission rests with the dean of the College of Graduate Studies and Research.
The Data and Information Management Master’s program requires a solid foundation in computer science. Students entering the program must have a strong academic background covering the topics in the courses listed below. The DAIM Admissions Committee with consider conditional admission whereby required experience will be obtained within the first semester. For more information, visit graduate admissions.
Admissions Requirements for the M.S. in Data and Information Management
In certain cases, the College of Science and Technology will consider conditional
admission, whereby required experience will be obtained within the first semester.
In the Applied Research in Technology and Information Science (ARTIS) Lab, an advanced, high-tech collaborative workspace, students work closely with faculty and industry partners to solve real problems. Projects typically involve:
Tracey's dream job was to become a data scientist within the healthcare field.
"Through Radford and the Data and Information Management program, I have found a way to make a difference in the healthcare field … from behind a computer.”
Tracey Dudding, M.S. '22
We want to get to know you better and we are excited that you are ready to take your next step and learn more about us. We are here to help you and look forward to working with you during your college search process.