Information Technology, M.S.

Print Degree Planner (opens a new window) |

The Master of Science in Information Technology at University of the Cumberlands focuses on the advanced practice role of the use of predictive analytics to identify cyber threats, employ big data analytics to improving healthcare, and empower smart cities in making data-driven policy changes critical for societal well-being. This program is designed to meet the aggressive demand for qualified data scientists in virtually every sector of the economy, with classes in computer science, data intelligence, analytics, and security.

Students can earn the MS, Information Technology in either a fully online format or an executive format combining online and on-site study. The Executive format program requires attendance at weekend residency classes. Further, the Executive MS, Information Technology Program meets the needs of international graduate business students. This program provides both in-seat and online coursework. Graduate students joining the Executive MS, Information Technology program will be employed or conduct projects in business-related positions and participate in Applied Learning Practicum, in which students apply what they are learning in their program to the real world via work or internship experiences.

The Master of Science in Information Technology is comprised of (30) hours of core required credit hours, and one (1) additional credit hour for a Capstone styled course or Applied Learning Practicum:

Course Requirements: 31 Credit Hours

ITS 530 - Analyzing and Visualizing Data Credit(s): 3 hours
ITS 531 - Business Intelligence Credit(s): 3 hours
ITS 532 - Cloud Computing Credit(s): 3 hours
ITS 535 - System Analysis and Design Credit(s): 3 hours
ITS 536 - Human Computer Interaction and Usability Credit(s): 3 hours
ITS 537 - Information Technologies and Mobile Applications Credit(s): 3 hours
ITS 538 - Database Systems Credit(s): 3 hours
ITS 630 - Organization Leadership and Decision Making Credit(s): 3 hours
ITS 631 - Operational Excellence Credit(s): 3 hours
ITS 632 - Introduction to Data Mining Credit(s): 3 hours
ITS 699 - Information Technology Project Credit(s): 1 hour*
OR
INTR 599 - Applied Learning Practicum Credit(s): 1 hour

Notes:

The Computer and Information Sciences Department, the School of Business, and the Leadership graduate (Masters and Doctorate) executive format programs have an applied learning component (internship/practicum) that is an integral (essential) part of the established curriculum. Due to the applied learning component required for the degree program, executive format students must enroll in INTR every term of enrollment.