Program Overview

Data and Information Management

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.

Overview

The program is offered by the School of Computing and Information Sciences and has the following characteristics:

• Degree Type: Master of Science
• Location: Main Campus in Radford, VA
• College: Artis College of Science and Technology
• Format: In-Person, Online

Why Study Data and Information Management at Radford?

The program blends theory and practice, helping students master the latest technology 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 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.

DAIM Accelerated Track

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.

Careers and Internships

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.

Opportunities for Data and Information Management Students

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.

Admission Requirements

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.

Admissions Requirements for the M.S. in Data and Information Management

• Recommended scores are 152 on the quantitative portion and 148 on the verbal portion of the Graduate Record Exam.
• A minimum 3.0 GPA overall from an accredited educational institution.
• 3 letters of reference from faculty members who are familiar with your academic performance in major coursework or from colleagues or supervisors who are familiar with your work.
• An undergraduate course in Database Management Systems.
• Completion of the Radford University graduate application.
• Verification of required immunizations.
• International applicants whose native language is not English must achieve an acceptable score on the TOEFL examination and submit an approved credential report for coursework completed outside the United States.

Program Requirements and Courses

The program has specific requirements and courses that students must complete to graduate.

Related Programs

• Computer Science, B.S.
• Cybersecurity, B.S.
• Cybersecurity Certificate

ARTIS Lab

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 rapid prototyping and evaluation of emerging technologies to assess scalability, performance, security, and resilience for enterprise-class systems.