Data Science and Technology in Gerontology
- Course Number: GMS 6808
- Credits: 3
- Course Format: This online course is tailored for asynchronous distance learners.
- Course Syllabus: Download
Course Description
This course introduces students to in-demand data science and digital health skills used to address one of the fastest-growing challenges: aging populations. Students will focus on innovations across the lifespan and explore real-world applications of AI, analytics and emerging technologies that are shaping healthcare, longevity and caregiving.
Topics of interest include: data science fundamentals, electronic health records, ethics in AI, precision medicine, technology adoption among older adults, ecological momentary assessment, digital phenotyping, the role of technology to alleviate loneliness among older adults, life-space mobility, wearable and assistive technology to improve outcomes and the use of technology to support the caregivers of Alzheimer patients. At the completion of this course, students will be able to describe how technology and data science are employed in the healthcare domain in general, and the aging population in specific.
Course Goals
This course aims to develop foundational knowledge of data science concepts and their application in aging and healthcare, while preparing students to critically evaluate digital health technologies, emerging innovations, and ethical considerations in AI-driven care.
