PhD Information Science With a Concentration in Data Science

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Tuition fee
Apply by
Start date
Jan 2025
Aug 2025
Jan 2026
Aug 2026
Duration
4 years
3 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 12 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
UNT's Interdisciplinary Information Science Ph.D. program (or IIS Ph.D. program) responds to the varied and changing needs of the information age by offering a concentration in Data Science. The concentration is offered jointly with UNT's Department of Information Technology and Decision Sciences and the Department of Computer Science and Engineering with the ultimate goal of providing the opportunity for interdisciplinary training, research and professional services in consumer behavior and experience management. With this concentration, students will take courses that will prepare them for conducting research on critical issues in consumer behavior and related areas as they pertain to the information science perspective.

The UNT Information Science Ph.D. program with a concentration in Data Science 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 UNT's Information Science (IS) Ph.D. program 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.

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The requirements may vary based on your selected study options.





















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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Jan 2025
Aug 2025
Jan 2026
Aug 2026
Duration
4 years
3 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 12 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs