Program Type

Major
Format

Hybrid
Est. time to complete

3-4 years
Credit Hours

60 (with master's) or 72 (with bachelor's)
Explore innovative ways to use technology to harness information and enhance lives.
The UNT Information Science Ph.D. Program emphasizes the interrelationship of the economic, social, cultural, and technological aspects of an evolving information society. The intent is to unify knowledge systems, problem-solving approaches and research methodologies regardless of their disciplinary roots, and to produce graduates who will be leaders in the information age. The program offered at Frisco is the Information Science Ph.D. with a concentration in Data Science.
APPLY NOW
Request More Information

Why Earn an Information Science Ph.D.?

The University of North Texas Information Science Ph.D. program responds to the varied and changing needs of an information age, increasing recognition of the central role of information and information technologies in individual, social, economic, and cultural affairs.

The mission of the UNT Information Science  Ph.D. Program with a Concentration in Data Science is to provide a center of excellence in graduate education and research. Its primary goals are to:

  • Nurture critical and reflective thinking on the fundamental issues and elements of problems of utilization of information
  • Foster an environment of substantive and productive mentoring and apprenticeship
  • Prepare scholars passionate about the role of information in human affairs
  • Foster cross-disciplinary thinking and research.

Students are recruited to the program from a wide range of disciplines and encouraged to expand and refocus their expertise and skills in cutting-edge areas of information science that cross disciplinary boundaries. The multifaceted nature of information science warrants the focusing of resources, courses, and faculties from a broad range of academic units.

Marketable Skills
  • Research and publication
  • Pedagogical practices
  • Critical thinking
  • Leadership ability
  • Data analysis