Information Systems, M.S. (Intelligent Enterprise Concentration)

General Program Information

Douglas A. Battleson, DBA, PMP, Graduate Coordinator
165 Brinkley Center
(423) 439-6958
e-mail: battleson@etsu.edu

Brian T. Bennett, Ph.D., Department Chair
4-464 Nicks Hall
Box 70711
(423) 439-5328
e-mail: bennetbt@etsu.edu

Faculty: Ahmad Al Doulat, Biju Bajracharya, Douglas Battleson, Brian Bennett, Chelsie Dubay, Matthew Harrison, Stephen Hendrix, Ghaith Husari, Mohammad Khan, Phil Pfeiffer, Jack Ramsey, Tahsin Rezwana, Jeff Roach, Shehenaz Shaik, Christel Young

The Department of Computing offers three graduate programs, including the Master of Science in Computer Science, the Master of Science in Information Systems, and a Graduate Certificate in Data Analytics. The Master of Science in Information Systems is a technically-oriented degree for anyone who wants to understand technology in a business context. This degree allows students from any background to increase their technical expertise in Information Technology and Information Systems.

The Intelligent Enterprise concentration is focused on applying advanced technologies and best practices to integrated business processes resulting in sustainable competitive strategies and best-run businesses. Students will use SAP S/4HANA Enterprise Resource Planning (ERP) for experiential learning of integrated business processes. With this education and skills, the student will then focus on information system project management and digital transformation. Digital transformation is the application of advanced technologies to create new business processes and models to enable significant organizational performance. This concentration can lead to SAP and Project Management Institute certifications.

Admissions Requirements

In addition to admission policies established by the Graduate School, all applicants must submit

Three letters of recommendation that address the applicant’s academic ability, professional maturity, and communication skills.
A personal essay that discusses the applicant’s reason for pursuing the M.S. in Information Systems.
A curriculum vita, detailing any IT-related work experience.
An undergraduate GPA of 3.0 (on a 4.0 scale) is required.

*International Applicants: Demonstration of English proficiency as specified by the Graduate School Admission Policies is required.

Applicants will be evaluated for admission based on evidence of preparedness for graduate study in information systems, as attested to by academic performance and/or professional experience. Such evidence could include (e.g.) post-secondary coursework and/or business experience in any of the following:

systems and software development, including analysis and design
courses that feature mathematics at the level of probability and statistics, calculus, and/or discrete mathematics, or beyond
data management and analysis

Articulation Agreement

A student who completes the Graduate Certificate in Intelligent Enterprise and later wishes to pursue the M.S. in Information Systems may transfer the certificate credits into the master’s degree with approval of the degree graduate coordinator and the Graduate School. All transfer credit, however, must meet GPA requirements and must be within the six-year matriculation limits.

Information Systems, MS Degree Requirements: 33 credits

Core Requirements	9 credits
Concentration	12 credits
Advisor Approved Electives	6 credits
Capstone	6 credits
TOTAL	33 credits

Core Requirements: 9 credits

CSCI 5230 - Software Project Management (3 credits)
CSCI 5520 - Research Methods in Computer Science (3 credits)
CSCI 5730 - Enterprise Information Systems (3 credits)

Intelligent Enterprise Concentration: 12 credits

CSCI 5747 - Business Process Integration (3 credits)
CSCI 5757 - Business Process Configuration (3 credits)
CSCI 5760 - Enterprise Systems Project Management (3 credits)
CSCI 5770 - Digital Transformation in Management (3 credits)

Advisor Approved Electives: 6 credits

Students may choose unduplicated courses from other concentrations as electives as well as relevant special topics courses. Students may take at most one independent study course and three dual-listed courses during the program of study.

CSCI 5xxx (3 credits)
CSCI 5xxx (3 credits)

Capstone: 6 credits

Choose one of the following options: Thesis, Information Systems Project, Independent Project, or Coursework.

Coursework Only Option

Additional Coursework Selected from the Advisor Approved Electives list above. (3 credits)
Additional Coursework Selected from the Advisor Approved Electives list above. (3 credits)

Capstone Presentation

All M.S. graduate students must successfully present their capstone project or thesis to their advisory committee. Students construct their own advisory committee, which must be approved by the department. Successful completion of the presentation is determined by the graduate faculty, using rubrics and procedures outlined in the Computing Student Handbook.

Computing Graduate Exit Exam

All graduate students in the Department of Computing pursuing a Master of Science degree must successfully complete the Computing Graduate Exit Exam. Successful completion of the exam is determined by the graduate faculty. The department follows the process outlined in the Culminating Experience section of the graduate academic policies and procedures.