Information Technology, M.S.

The Master of Science in Information Technology enables students to advance their technical expertise and their ability to integrate technologies into organizations. The degree addresses workforce demand for expertise in information technology and digital transformation needed to work effectively in today’s data and technology-centric environments. The digital revolution is impacting all aspects of our lives, reshaping both personal and work lives everywhere. Students in the master’s program have the opportunity to advance their knowledge in areas such as cyber-infrastructure, networking, data analytics, artificial intelligence, user experience and interface design. Students can work with faculty in a wide range of research endeavors, depending on their interests and career goals. Opportunities for research expands students’ opportunities to pursue their own research interests and to publish papers at national conferences.

Learning Outcomes

  1. Demonstrate the ability to apply advanced information technology principles to solve complex problems.
  2. Analyze client information technology needs  and develop, integrate, and evaluate innovative solutions.
  3. Exhibit professional skills such as technical writing, oral communication, and working in trans-disciplinary teams.
  4. Execute a rigorous research project in a specific information technology area of interest (Research Track only).
  5. Design and conduct a development project in a specific information technology area of interest. (Professional Track only)

Admissions

Requirements for admission to the Master of Science in Information Technology (MSIT) program include the general admission requirements of The Graduate School, including the TOEFL for non-native English-speaking applicants. The admission process is highly competitive. Admissions decisions are based on the quality of the applicant’s previous university-level academic work, prior work experience, letters of recommendation and other evidence of past accomplishments. While, the GRE is not required, a GRE score may be submitted to support the application and demonstrate the candidate’s qualifications.

For admission to the MSIT, applicants normally hold a B.S. degree in information technology, computer science or a related field. Applicants without such a degree should have completed courses in software development, networking, databases, and web systems.  Applicants not having courses in these subjects may be conditionally admitted to allow completion of required prerequisite courses before full admission is granted.

Degree Requirements (30-33 hours)

The Master of Science in Information Technology may be earned through either a Professional Track or a Research Track.  In both tracks, at least half of the credit hours (exclusive of thesis preparation) must be earned in courses number 700 and above.  All MSIT students are subject to the academic regulations and degree requirements of the Graduate School and the program-specific requirements described here.

Professional Track Program of Study (30 hours)

The MSIT Professional Track is available 100% online and as a residential program. Students who choose this track must take 12 hours of IT Core Courses, 15 hours in IT Electives, a 3-hour ITEC 766, IT Project Management course, and pass a written comprehensive examination offered at the end of Fall and Spring semesters.

Requirements Credit Hours
IT Core Courses 12
IT Elective Courses 15
ITEC 766 IT Project Management 3

Research Track Program of Study (33 hours)

The MSIT Research Track is a residential program not available 100% online. Students who choose this track must take 12 hours of IT Core Courses, 12 hours in IT Elective Courses, a 3-hour Research Methods course, and 6 hours of ITEC 799, Thesis Preparation.  Student must successfully write and defend a thesis under faculty guidance.

Requirements Credit Hours
IT Core Courses 12
IT Elective Courses 12
Research Methods Course 3
ITEC 799 Thesis Preparation 6

Courses

IT Core Courses (12 hours)

Course Title Credits
ITEC 749Principles of Informatics3
ITEC 754Analysis and Design of Information Systems and Technology3
ITEC 772Database Systems3
ITEC 785Enterprise Data Analytics3

IT Elective Courses (12-15 hours)1

Course Title Credits
ITEC 510Emerging Information Technology Trends3
ITEC 534Advanced Human Computer Interaction3
ITEC 544Training Systems3
ITEC 545Telecommunications3
ITEC 552Linux Programming and Administration3
ITEC 562Advanced Web Support Systems3
ITEC 570Database Management and Administration3
ITEC 590Special Topics in Integrated Information Technology3
ITEC 742Enterprise Network Management3
ITEC 743Health Information Privacy and Security3
ITEC 745Telecommunications for Health Information Technology3
ITEC 747Management of Health Information Systems3
ITEC 760Cyberinfrastructure and Information Assurance3
ITEC 761Management of Cyberinfrastructure3
ITEC 762Health Information Technology Usability and Interface Design3
ITEC 764Project Management for Health Information3
ITEC 765Human Computer Interaction, Usability and Interface Design3
ITEC 766IT Project Management (*)3
ITEC 770Health IT Database Systems3
ITEC 775Large-Scale Health and Information Systems3
ITEC 776Health Information Technology and Clinical Transformation3
ITEC 781Artificial Intelligence and Informatics I3
ITEC 782Artificial Intelligence and Informatics II3
ITEC 786Advanced Enterprise Data Analytics3
ITEC 787Advanced Data Analytics Tools3
ITEC 790Special Topics in Informatics3
ITEC 791Introduction to Management of Information Security3
ITEC 792Management of Cyber Operations3
ITEC 793Cybersecurity Risk Management3
ITEC 795Independent Study in Health Information Technology1-3
1

 Courses from other departments may be used with approval of the advisor and Graduate Director.
*ITEC 766 is an elective for Research Track only (it is a requirement in the Professional Track)

Research Methods Courses (0-3 hours)2

Course Title Credits
BIOS 700Introduction to Biostatistics3
EDFI 731Qualitative Inquiry3
EDRM 710Educational Statistics I3
SOCY 515Scientific Methods and Sociological Inquiry3
SOCY 562Advanced Sociological Research Methods3
STAT 506Introduction to Experimental Design3
STAT 509Statistics for Engineers3
STAT 515Statistical Methods I3
STAT 700Applied Statistics I3
2

Courses in quantitative research from other departments may be used with approval of the advisor and Graduate Director.