Healthcare Data Analytics Graduate Certificate
Transform data
Credits
12
Start Terms
Fall
|Spring
Available
Online
Tuition
$5,809.20
estimated total cost
Providing quality care and services to patients is a top priority in the healthcare industry. If you have a background in healthcare and are interested in research, statistics, and data visualization, theHealthcare Data Analytics Graduate Certificate is for you.
Since you have your bachelor’s degree, you’re one step ahead. Our graduate certificate in healthcare data analytics will polish your skills and give you a myriad of new ones. Provide practitioners with the knowledge to acquire, manage, and analyze data into accurate and consistent information.
You’ll also be eligible to sit for the Certified Health Data Analytics (CHDA) exam if you have a bachelor’s degree and three years of health data analytics experience. This exam will help you achieve recognition and validate your expertise in healthcare data analysis while achieving the CHDA credential.
Enhance your expertise with a graduate certificate
This certification will enable you to increase your knowledge in healthcare data analytics. Construct information system capabilities, design data sources for intelligence extraction, and create data visualization techniques. Create business intelligence through data and analytics as well as create statistical business models that will leverage enterprise-wide information assets.
Get ready, get set, analyze
If you’re ready to learn even more, this certificate can serve as entry into one of our masters degrees: MS in health informatics and information management (MSHIIM) or the MS in analytics and applied artificial ntelligence (MSA). No matter if you pursue your masters or return to work, you’ll be ready.
Learning Outcomes
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Upon completion of the graduate certificate in healthcare data analytics, students will:
- Be able to apply business intelligence software for measurement, analysis, monitoring, and prediction.
- Be able to create a healthcare dashboard utilizing visualization software.
- Be able to apply predictive and analytic tools for decision-making.