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Business Information Assurance Ph.D.
Doctoral Degree
Program type:
Major
Format:
On Campus
Est. time to complete:
4 years
Credit Hours:
60
Command a higher salary with a Ph.D. in Business Information Assurance.
The doctoral program in business administration is designed to prepare men and women
of outstanding ability for careers in teaching and research at the university level.
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Request More InfoWhy Earn a Business Information Assurance Ph.D.?
The Doctor of Philosophy degree in Business prepares you for a career in academia. The curriculum includes course work on research methods and processes, statistical analyses, teaching methodology, and in-depth study in BCIS.
Our program is a full-time in-resident research-based program, and our students participate in teaching and research in the department.
Marketable Skills
- Application of standard research methods
- Conduct and report business research
- Knowledge of core business disciplines
- Pedagogical practices
- Business research communication
Business Information Assurance Ph.D. Highlights
With a student body of more than 8,000 students, the UNT G. Brint Ryan College of
Business is one of the largest colleges of business in the nation. Prior to the BLB's
construction the college occupied two buildings in their entirety and space in a third.
When you graduate from the G. Brint Ryan College of Business, you join a network of
50,000 alumni. More than 700 of our graduates are CEOs or presidents of organizations.
Our faculty members are outstanding teachers and renowned researchers. They are recognized
as thought leaders in the field of information technology and their scholarly works
have been published in respected journals.
The Business Leadership Building has Gold-level Leadership in Energy and Environmental Design certification for sustainability — contains 24 classrooms and team study rooms.
The G. Brint Ryan College of Business has established several research centers and
institutes in collaboration with local industry leaders that provide interdisciplinary
forums as well as research support for doctoral students.
UNT’s location opens up a wealth of career, networking and internship opportunities
in the Dallas-Fort Worth area, home to the nation’s fourth largest concentration of
Fortune 500 companies.
Business Information Assurance Ph.D. Courses You Could Take
Business Research Methods (3 hrs)
Designed to introduce doctoral students to the methods and measurements of business
research, including scientific method, research design and measurement. Focus on topics
that provide doctoral students with a better understanding of theoretical frameworks
used in research. Form and structure of explanations, laws and theories used in research
are examined and discussed.
Mathematical Economics (3 hrs)Mathematical approaches to economic theory
models of production, consumer choice, markets and pricing; simple macroeconomic models.
Object-Oriented Systems (3 hrs)
Examines a variety of managerial issues associated with developing and implementing
object-oriented system applications within business.
Seminar in General Systems Theory (3 hrs)
Study of computer information systems in the context of their interaction with the
environment in which they operate, including the human decision maker and how the
information system is supported or inhibited by the orientation and design of the
environment in which it operates.
Applications of Cryptography (3 hrs)
Introduces students to concepts of cryptography and its applications. Cryptography
is the fundamental building block of any computer security solution. The knowledge
gained from this course will enable students to apply these cryptographic algorithms
in a better way to design security solutions.
pplications in Causal and Covariance Structure Modeling (3 hrs)
Application of CSM techniques to the analysis of behavioral data in business research.
“Hands-on” practice using LISREL to examine measurement and structural models containing
directly observed and latent variables. Provides a solid working knowledge of how
to conceptualize measurement and structural models, the standard LISREL and SIMPLIS
syntax for estimating these models, and proper interpretation of LISREL output. LISREL
assumptions, limitations, tricks and traps are explored.
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