Information Data Science Doctoral Degree

Program Overview

Students gain skills in data analysis, research, and critical thinking while interacting with diverse faculty and accessing financial support, professional connections, and various course formats. This program aims to equip graduates to advance the information society in various roles as administrators, researchers, and educators.

Program Outline

Degree Overview:

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 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:

• 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.

Careers:

Graduates of the program are prepared to contribute to the advancement and evolution of the information society in a variety of roles and settings as administrators, researchers, and educators.

Other:

• Marketable Skills:
• Research and publication
• Pedagogical practices
• Critical thinking
• Leadership ability
• Data analysis
• Information and Data Science Ph.D.
• Highlights:
• Special lectures hosted by the college and the department feature renowned scholars who provide different perspectives and insights into the information science field.
• The structure of the IS Ph.D. program deliberately encourages and supports interactions among students and faculty in different academic units.
Faculty and doctoral students together pursue research in a variety of areas.
• The Department of Information Science offers financial support and scholarships to its students to recognize exceptional academic and creative accomplishment.
The Career Center can provide advice about internships, future employment opportunities and getting hands-on experience in your major.
• Instruction is offered in a variety of formats, including face-to-face, online and blended, that allows you to balance classes with full-time or part-time employment.
• Information and Data Science Ph.D.
• Courses You Could Take:
• Seminar in Research and Research Methodology (3 hrs)
• This course will cover advanced topics in research methodology, research proposal development and directed research study.
• Introduction to Big Data and Data Science (3 hrs)
Emphasis on Big Data and its effect on other topics within Data Science, its technical characteristics and state-of-the-art Big Data analytics architectures and tools.
• Foundational Principles in Knowledge Management (3 hrs)
• This course includes the data, information, knowledge, intelligence continuum, forms and sources of knowledge, challenges and best practices to preserve it in organizations.
Covers the knowledge market, including players, dynamics and pathologies, and theories and principles of knowledge management.
• Data Visualization for Analytics (3 hrs)
• This course teaches students to create insightful displays from complex, large and possibly unstructured quantitative and qualitative data.
• Usability and User Experience Metrics (3 hrs)
• Focuses on the usability of web-based information systems and the significance of user experience (UX) in the lifecycle of information system development.
• Seminar in Communication and Use of Information (3 hrs)
• This course covers the nature of information as a phenomenon and of the communication processes.
Conceptual linkage to treatments in various fields. The role of information and communication in individual, social and institutional behavior.