AI in Healthcare, MS, Residential

The new Master of Science in AI in Healthcare (MSAIH) requires a total of 36 credits, comprising 21 credits from seven required courses (3 credits each) and 15 credits from five elective courses (3 credits each).

Required Courses

HI 2250 - FOUNDATIONS OF HEALTH INFORMATICS
HI 2251 - HEALTHCARE ANALYTICS, MACHINE LEARNING, AND DATA VISUALIZATION
HI 2451 - DATABASE DESIGN AND BIG DATA ANALYTICS
HI 2452 - DIGITAL HEALTH AND ARTIFICIAL INTELLIGENCE
HI 2252 - APPLIED AI IN HEALTHCARE: TOOLS, CONCEPTS, AND IMPACT
HI 2458 - GENERATIVE ARTIFICIAL INTELLIGENCE IN HEALTHCARE
HI 2462 - ETHICAL, LEGAL, AND SOCIAL ISSUES (ELSI) OF AI IN HEALTHCARE

Elective Courses

Students will choose five elective courses (15 credits total) from the list below.

HI 2021 - PRACTICAL STATISTICS AND PROGRAMMING USING R
HI 2022 - INTRODUCTION TO PYTHON FOR HEALTH INFORMATICS
HI 2210 - HEALTH INFORMATION AND THE HEALTH CARE SYSTEM
HI 2230 - FINANCIAL MANAGEMENT AND HEALTH CARE REIMBURSEMENT
HI 2231 - TALENT MANAGEMENT AND HUMAN RESOURCES
HI 2450 - SECURITY, PRIVACY, LEGAL, AND ETHICAL ISSUES IN HEALTH INFORMATION SYSTEMS
HI 2457 - APPLIED AI & DESIGN THINKING FOR HEALTH INFORMATICS
HI 2632 - LEADERSHIP AND PROJECT MANAGEMENT
HI 2670 - INTERNSHIP
HI 2310 - INTRODUCTION TO ARTIFICIAL INTELLIGENCE IN HEALTHCARE INNOVATION & CLASSIFICATION
HI 2460 - DATA SCIENCE AND MACHINE LEARNING IN HEALTH SCIENCES
HI 2461 - NATURAL LANGUAGE PROCESSING AND LARGE LANGUAGE MODELS IN HEALTHCARE

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