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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.

ADMISSION INFORMATION

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

MANA 6372 – Managing Organizations and Teams

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

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

Find course descriptions by category under the Graduate Course Descriptions section in the navigation panel.