Master of Science in Management
(This degree program has met conditions for eligibility and will be submitted for accreditation by the ACBSP in the next accrediting cycle.)
The Master of Science in Management is a specialized STEM degree program emphasizing operations research, data analysis, decision-making, and innovative leadership. The curriculum and teaching methodologies challenge leaders to develop forward-thinking solutions related to business organization and performance. Graduates will have the tools to be strategic leaders, to possess big-picture perspectives, and to be skilled decision-makers.
PROGRAM REQUIREMENTS
course | Credit hours |
---|---|
REQUIRED MS IN MANAGEMENT CORE CURRICULUM | 21 |
BUAD 5303 – Essentials for Business Analysis and for Leadership (Must be taken in the student’s first semester) MANA 5302 – Quantitative Analysis and Modeling and Decision-Making MANA 5310 – Ethical Leadership MANA 6314 – Organizational Change and Development MANA 5333 – Operations and Quality Management MANA 6307 - Managing Risk MANA 5303 – Technology, Innovation, and the Entrepreneurial Mindset | |
CONCENTRATION OPTIONS | 15 |
General Management Concentration MANA 6360 – Managerial Strategy and Implementation (S-L) MANA 6372 – Managing Organizations and Teams (S-L) MSITM 5342 – Database Management for Business Analysis Select two of the following: ACCT 5321 – Managerial Accounting FINA 5301 – Corporate Finance MRKT 5301 – Advanced Marketing Strategies (S-L) MRKT 5306 – Digital Marketing Principles (Requisite: MRKT 5301) MRKT 5345 – Consumer and Buyer Behavior (Requisite: MRKT 5301) MSITM 6331 – AI Revolution: Transforming the Digital Landscape PROJ 5301 – Project Management Foundations SCM 6320 – Logistics Management Technology Strategy and Consulting Choose five of the following: MANA 6360 – Managerial Strategy and Implementation (S-L) MSITM 5342 – Database Management for Business Analysis MSITM 6308 – DevOps MSITM 6320 – Agile Project Management MSITM 6322 – Technology Consulting MSITM 6331 – AI Revolution: Transforming the Digital Landscape MSITM 6364 – Generative AI Use Cases: Practical Approaches for Greater Success (S-L) | |
Total Credit Hours Required | 36 |
(S-L)=Course(s) with field-based service-learning component.
Refer to individual course descriptions for course requisites.
COURSE DESCRIPTIONS
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