MS in Data And Information Management
- Biology Department
- Pre-Health Advisory Committee
- GIS Center
- Medical Laboratory Science
- Museum of the Earth Sciences
- Mathematics and Statistics
- REALISE
- Chemistry Department
- Radford University Planetarium
- Department of Physics
- Anthropological Sciences
- Geology
- Selu Observatory
- Center for Information Security
- REALISE Students
- Forensic Science Institute
- Biomedical Science
- Geospatial Science
- School of Computing and Information Sciences
- RU-ACES
- MS in Data And Information Management
Why Choose Our Program?
As the volume of information continues to explode, so does the need for IT professionals who can maximize the value of information assets while getting the right data to the right people at the right time.
The Radford University MS 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 strong theoretical foundation reinforced with hands-on projects enabling students to engage with faculty and industry partners in the ARTIS lab, an advanced, high-tech collaborative workspace.
By blending theory and practice, students master the latest technology – including Hadoop, Spark, and Hive – and learn fundamental concepts and principles in the following areas:
- Data architecture; data modeling and design; data storage
- Data integration and interoperability; data quality
- Data governance; data security and privacy
- Data warehousing and business intelligence.
The MS 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.
Graduates will be proficient with tools and techniques for managing traditional data as well as the latest technology and best practices to manage and process big data. Graduates will also be prepared to meet the challenges of designing, developing, and maintaining high-performance systems with 24/7 availability.