Academic Program Proposal

Date Proposal Activated	Institution and Proposal	Degree Awarded	Academic Program Name	Objection Deadline
	Johns Hopkins University Proposal	Master of Science (M.S.)	Business Analytics and Artificial Intelligence to include an AoC in AI Powered Decision Analytics	7/23/2026
Business Analytics and Artificial Intelligence to include an AoC in AI Powered Decision Analytics Program Description
The AOC adds four required courses with the following course-level learning outcomes: <br>Practical Machine Learning (BU.520.775). Students learn to frame supervised and unsupervised machine learning solutions for common business use cases, develop and assess the performance of these solutions using Python and ML <br>platforms, and explain machine learning solutions to technical and non-technical audiences. AI-Driven Sequential Decision Making (BU.520.750). Students learn to formulate decision analytics problems in the presence of uncertainty, apply AI techniques such as Markov decision processes and reinforcement learning to large-scale business analytics problems, and develop optimal policies for real-world case <br>studies. Generative AI (BU.330.760). Students learn the principles behind generative AI models including the foundations of text and image generation, build, train, evaluate, and refine <br>generative AI systems such as customGPT, RAG, and agentic AI using tools like AWS and Python, and critically analyze the business implications and limitations of generative AI <br>Technologies. <br>Analytics Consulting Project (BU.520.690). Students learn to identify and characterize analytics problems from client descriptions, apply project management and team dynamics principles in real-world client scenarios, create reports, visualizations, and presentations for technical and non-technical <br>audiences, and understand professional and ethical responsibilities in an analytics context.