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

Thomas Jefferson University’s Artificial Intelligence (AI) in Health Analytics Leadership Advanced Practice Certificate (APC) gives students and healthcare professionals the practical skills and expertise needed to drive the implementation of AI, find new ways to leverage data and enable better tracking of patient prevention outcomes.

This 9-credit certificate features courses on how AI affects informatics, analytics and leadership, along with hands-on, approachable training in machine learning—empowering you to apply AI-driven insights in real-world healthcare settings.

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 annually—one of the fastest-growing professions. At the same time, the healthcare industry is projected to add 1.9 million job openings per year.

As it turns out, the demand for professionals at the intersection of data science and healthcare is especially strong in Philadelphia and surrounding areas. This high demand comes with strong earning potential—Health Data Scientists in Philadelphia, according to ZipRecruiter, earn an average salary of $113,453 per year.

Here are just a few of the most frequently searched job titles related to Health Data Scientist jobs in Philadelphia:

• 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, you’ll be well prepared for in-demand roles where AI meets healthcare.