managerial decision-making across analytics, finance, marketing, and operations. Students explore the design and evaluation of AI-powered decision systems while considering the philosophical, ethical, and theological implications of algorithmic judgment. Emphasis is placed on preserving human discernment and accountability, recognizing the ethical limits of automation, and developing AI strategies that reflect Christian-Judeo Biblical principles of truth, love, ethics, and compassion. AISB 630 AI-Driven Innovation and Entrepreneurship (3) This course examines how artificial intelligence transforms innovation management and entrepreneurial venture creation, framed by Judeo-Christian principles of creativity and stewardship. Students explore how AI enables new forms of innovation, expands access to entrepreneurship, and addresses global challenges through technology. Emphasis is placed on developing Biblically informed business models that leverage AI for human flourishing and sustainable impact. AISB 640 Leading with AI (3) Examines how artificial intelligence transforms organizational leadership and decision- making within a biblical framework. Defines faith-informed leadership in the context of AI and identifies the distinguishing principles and challenges of leading in technology-driven environments. BAN 600 Business Decision-Making (3) Development of a deep understanding of the organization, positions, purpose, methods, informational processes, and decision-making mechanisms of the corporation. BAN 605 Corporate Ethics & Data Privacy (3) The ethical conduct of business organizations as specifically related to the gathering, storage, analysis, dissemination, and use of public and private data. BAN 610 Foundations of Analytics (3) Survey of central issues related to corporate data storage and handling, and the role and value of data analytics in parsing large volumes of complex multi-source data to meet the decision-making needs of contemporary organizations. BAN 615 Descriptive Analytics (3) The fundamentals of statistical exploration and visualization techniques, including descriptive statistics and probability distributions, inferential statistics, parametric and non-parametric hypothesis tests and regression analysis. BAN 620 Decision Models (3) Hands-on use of modern analytical software, focusing on optimization models and other decision strategies to solve discrete real-world case studies as key aids to rational decision-making in organizations.
- Subject
- AISB
- Type
- course
- Edition
- 2026
- Source
- www.regent.edu
- Prerequisite
- BAN 615.