Academic Program Proposal
Main_Content
Date Proposal Activated | Institution and Proposal | Degree Awarded | Academic Program Name | Objections Received | Objection Deadline | MHEC Final Action | Final Decision Date |
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| University of Maryland College Park Proposal | Master of Science (M.S.) | Artificial Intelligence | | 6/6/2025 | | |
Artificial Intelligence Program Description |
The learning outcomes for the program are as follows: <br> <br>1. Understand the theoretical foundations of artificial intelligence, including mathematics and statistics, machine learning, deep learning, and optimization techniques. <br>2. Develop advanced problem-solving and analytical skills in AI by gaining proficiency in scripting and programming, leveraging machine learning frameworks, and employing high-performance computing platforms to optimize AI solutions. <br>3. Apply AI technologies to address critical societal challenges and to solve complex problems in disciplines such as healthcare, finance, climate change, and public policy. <br>4. Design AI systems to work effectively alongside people in healthcare, education, business, and creative industries. <br>5. Analyze the impact of AI-driven automation in real-world settings by evaluating its effectiveness and efficiency. <br>6. Describe the societal implications of AI, including issues of safe and trustworthy AI. <br>7. Evaluate the ethical and legal implications of AI by analyzing issues such as bias, privacy, accountability, and transparency, and developing strategies forresponsible AI design, governance, and policy compliance. <br>8. Explain practical strategies for implementing and scaling AI solutions withinenterprise and societal contexts. <br>9. Communicate AI technologies and applications in a variety of fields totechnical and non-technical audiences. |