Master of Science in Ethical AI and Strategic Decision Sciences
The Master of Science in Ethical AI and Strategic Decision Sciences (MSAIS) is a STEM-focused disruptive leadership program designed to equip students with advanced knowledge and skills in the intersection of artificial intelligence, data analytics, and strategic decision-making.
In today's rapidly evolving business landscape, the ability to harness AI and data-driven insights for strategic decision-making is a critical skill set. This program offers a comprehensive curriculum that blends technical expertise with business acumen, preparing graduates to thrive in roles that require innovative thinking, data-driven strategies, and a deep understanding of AI technologies.
In a world where technological advancements raise profound ethical questions, the MSAIS program also integrates discussions on AI ethics and encourages students to contemplate these challenges through the lens of a Biblical worldview, fostering a holistic understanding of the implications of their decisions on both a technical and moral level.
PROGRAM REQUISITES | ||
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MSITM 51.525 - Programming Fundamentals (Waived if student took classes on programming, has work experience in this area). | ||
BASIC CONCEPT COURSES (25 hours) | ||
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MSITM 6341 - Python (Requisite MSITM 51.525 Programming Fundamentals or equivalent) MSITM 5350 - Cloud Computing MSITM 6330 - Digital Ethics MANA 5302 - Quantitative Analysis and Modeling for Decision-Making MSITM 6331 AI Revolution: Transforming the Digital Landscape MSITM 6302 - Business Intelligence and Data Mining (Requisites: MANA 5302, MSITM 6341 or MSITM 5342) MSITM 6306 - Artificial Intelligence and Machine Learning (Requisites: MSITM 5302 and MSITM 6303) MSITM 6124 - Business Tech Professional Development (Mandatory for all International students). Waived for American students, students pursuing second master's or who finished Bachelor studies in USA (including internationals). MSITM 6364 - Generative AI Use Cases: Practical Approaches for Greater Success (S-L) | ||
ELECTIVES (12 hours) | ||
MSITM 6360 - AI Techniques for Data Scientists (Requisites: MANA 5302, MSITM 6302, MSITM 6341) MSITM 6361 - Deep Learning (Requisites: MANA 5302, MSITM 6341) Students to choose any two courses from the following. MSITM 6362 - AI Enterprise Strategy and Implementation - Building a Center of Excellence in AI (S-L) MSITM 6363 - AI Governance, Risk and Compliance (Including Legal) BUAD 5302 Graduate Internship (S-L) MSITM 6125 - Business Technology Professional Internship I (S-L) MSITM 6126 - Business Technology Professional Internship II (S-L) MSITM 6127 - Business Technology Professional Internship III (S-L) | ||
Total Credit Hours Required | 37 | |
(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. |