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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Technology Core (12 hours) MSAIS 5302 - Artificial Intelligence and Machine Learning MSAIS 5305 - Deep Learning MSITM 5350 - Cloud Computing MSITM 6341 - Python (Requisite MSITM 51.525 Programming Fundamentals or equivalent) Business Core (9 hours) MANA 5302 - Quantitative Analysis and Modeling MSAIS 6303 - Generative AI Use Cases: Practical Approaches for Greater Success (S-L) MSITM 6330 - Digital Ethics Leadership Core (3 hours) MSAIS 6315 - Disruptive Leadership | ||
CONCENTRATIONS (12 hours) | ||
Strategic AI and Decision Sciences MSAIS 6304 - AI Techniques for Data Scientists (Requisites: MANA 5302, MSITM 6302, MSITM 6341) MSAIS 6306 - AI Enterprise Strategy and Implementation - Building a Center of Excellence in AI (S-L) MSITM 6302 - Business Intelligence and Data Mining (Requisites: MANA 5302, MSITM 6341 or MSITM 5342) BUAD 5302 - Graduate Internship or MSAIS 6301 - AI Revolution: Transforming the Digital Landscape or MSITM 6303 - Data Visualization | ||
Responsible AI MANA 5310 - Ethical Leadership MSAIS 6301 - AI Revolution: Transforming the Digital Landscape MSAIS 6307 - AI Governance, Risk and Compliance (including Legal) BUAD 5302 - Graduate Internship or MSAIS 6320 - The Confluence of AI and Cybersecurity: A Dual Perspective | ||
AI Transformation Playbook MSAIS 6301 - AI Revolution: Transforming the Digital Landscape MSAIS 6306 - AI Enterprise Strategy and Implementation - Building a Center of Excellence in AI (S-L) MSAIS 6328 - The Metaverse BUAD 5302 - Graduate Internship or MSITM 6327 - Product Innovation | ||
Practical Applications in AI Required: 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) Choose three from the following: MSAIS 6301 - AI Revolution: Transforming the Digital Landscape MSAIS 6304 - AI Techniques for Data Scientists (Requisites: MANA 5302, MSITM 6302, MSITM 6341) MSAIS 6306 - AI Enterprise Strategy and Implementation - Building a Center of Excellence in AI (S-L) MSAIS 6307 - AI Governance, Risk and Compliance (Including Legal) MSAIS 6320 - The Confluence of AI and Cybersecurity: A Dual Perspective MSAIS 6328 - The Metaverse | ||
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. |