Program Overview

Artificial Intelligence (AI) in Health Analytics Leadership Advanced Practice Certificate (APC)

The Artificial Intelligence (AI) in Health Analytics Leadership Advanced Practice Certificate (APC) is a 9-credit certificate program offered by Thomas Jefferson University's College of Population Health. This program is designed to provide students and healthcare professionals with the practical skills and expertise needed to drive the implementation of AI in healthcare.

Program Highlights

• 100% online with asynchronous coursework allows for optimal flexibility
  • Suitable for students curious about the use of AI in healthcare, including health analytics-adjacent professionals such as clinicians and population health executives
  • Curriculum designed by clinicians and professional data scientists
  • Network with AI and data science professionals for career advancement
  • One of the stackable certificates leading up to the MS in Health Data Science
  • Rolling admission with fall and spring start dates
  • High-level learning in an accelerated term format

Learning Outcomes

The Artificial Intelligence (AI) in Health Analytics Leadership Advanced Practice Certificate (APC) prepares graduates to provide AI-focused health analytics leadership by preparing them to:

• Critically evaluate the machine learning algorithms that power Artificial Intelligence (AI) systems
• Integrate Artificial Intelligence (AI) into a health organization's decision-making process
• Leverage big-data assets available through electronic medical records and claims data for building Artificial Intelligence (AI) systems
• Tackle organizational challenges and obstacles to creating data systems to support AI

Curriculum

The Artificial Intelligence (AI) in Health Analytics Leadership Advanced Practice Certificate (APC) program provides students with a comprehensive overview of data science and AI in an expedited three-course format:

• HDS 501: Health Informatics, Analytics, and AI (3 credits)
• HDS 518: Supervised Learning & Unsupervised Learning: Prediction & Classification (3 credits)
• HDS 527: Analytics and AI Leadership (3 credits)

Career Outlook

According to the U.S. Bureau of Labor Statistics, employment of data scientists is expected to grow 36% from 2023 to 2033, with 20,800 job openings annuallyone of the fastest-growing professions. At the same time, the healthcare industry is projected to add 1.9 million job openings per year. The demand for professionals at the intersection of data science and healthcare is especially strong in Philadelphia and surrounding areas, with strong earning potentialHealth Data Scientists in Philadelphia earn an average salary of $113,453 per year.

Some of the most frequently searched job titles related to Health Data Scientist jobs in Philadelphia include:

• Data Scientist
• Remote Data Scientist
• Genetic Data Scientist
• Staff Data Scientist

With an Artificial Intelligence (AI) in Health Analytics Leadership Advanced Practice Certificate (APC) from Thomas Jefferson University, graduates will be well-prepared for in-demand roles where AI meets healthcare.

Accreditation

Thomas Jefferson University is accredited by The Middle States Commission on Higher Education.