Healthcare Data Analytics Programs

Healthcare analytics uses data to inform decisions in the healthcare industry. It involves analyzing and interpreting healthcare data to improve patient outcomes, enhance quality of care, and streamline healthcare operations.

Our Master of Science in Data Analytics with a concentration in Healthcare, gives you the skills to analyze and interpret complex healthcare data, combining data analytics principles with a deep understanding of the healthcare industry. Our online program is affordable and hands-on. We blend theory and practice in 10 courses, a 30-credit program you can finish in a year or less.

We'll prepare you for industry certifications, teaching you not just about today's healthcare data technology, but how to lead its future.

If you’re a healthcare or IT professional or administrator, data scientist, or policymakers in the field and want to master new skills, or a student considering a career in healthcare, take one of the data analytics micro-credentials we offer.

What is Healthcare Data Analytics?

Healthcare Data Analytics is about using data to transform the healthcare landscape. In our healthcare data analytics program, we explore healthcare data to predict disease spread, improve patient care, streamline health insurance, and enhance hospital productivity.

In healthcare, data is the catalyst for groundbreaking change. In our Healthcare Data Analytics program, you’ll use predictive analytics and machine learning to unlock valuable insights from vast datasets, enabling the personalized treatment plans, optimized resource allocation, improved patient outcomes, greater operational efficiency, and more effective health insurance strategies. With data analytics, healthcare services can be smarter, more efficient, and patient-centric.

stethoscope on top of graphs of medical data

Data Analytics gives you the power to predict disease spread, enhance patient care, and optimize health insurance, all while prioritizing patient and community well-being.

Data Analytics vs. Healthcare Data Analytics

Healthcare data analytics sets itself apart from traditional data analytics through its unique focus and specialization. Here's how it differs:

Specialized Data Source: Unlike traditional data analytics that deals with business-related data, healthcare data analytics delves into the healthcare industry's specifics. It involves analyzing patient records, medical imaging, clinical data, and health insurance claims.

Complexity and Scale: Healthcare data analytics tackles complex and diverse datasets, including unstructured data from medical notes, images, and sensor data. The sheer volume of healthcare data requires specialized tools and techniques for effective processing and analysis.

Compliance and Privacy: Adherence to strict regulations like the Health Insurance Portability and Accountability Act (HIPAA) is paramount in healthcare data analytics. Ensuring data security and patient privacy are integral to the process.

Expertise in Healthcare Domain: Healthcare data analysts possess a deep understanding of healthcare processes, medical terminologies, and the intricacies of the industry. This expertise enables them to derive meaningful insights and recommendations for healthcare improvements.

Patient-Centric Approach: Healthcare data analytics centers around enhancing patient care and outcomes. Analyzing data uncovers patterns, trends, and areas for improvement in healthcare service delivery.

Leveraging Advanced Technologies for Healthcare Insights: Machine learning, predictive analytics, and artificial intelligence (AI) are pivotal in healthcare data analytics. Utilizing these sophisticated techniques, healthcare professionals can forecast disease outcomes, patient readmissions, and treatment effectiveness, enhancing medical decisions and optimizing resource allocation.

While both general and healthcare data analytics aim to extract insights for decision-making, healthcare data analytics stands as a specialized discipline with unique data challenges and the noble goal of improving healthcare outcomes for individuals and populations.

Is data science related to healthcare data analytics?

Data science and healthcare data analytics are closely related, both employing extensive datasets to uncover valuable insights, inform decisions, and forecast trends. Data science serves as a wide-ranging field that employs various methodologies to study and interpret intricate data across different sectors and industries. Healthcare data analytics represents a more focused branch of data science, dedicated to the examination of data pertinent to healthcare, including patient records, clinical trials, and insurance claims. Typically, a master’s degree in data science provides the essential statistical and computational expertise required to manage complex data structures. For those in healthcare data analytics, a deep understanding of the healthcare sector and related terminology is beneficial, enhancing the ability to make meaningful contributions to medical science and patient care.


We'll prepare you for industry certifications such as Certified Health Data Analyst (CHDA), Certified Analytics Professional (CAP), and Certified Professional in Healthcare Information & Management Systems (CPHIMS), among others, teaching you not just about today's healthcare data technology, but how to lead its future. While we provide the academic foundation for these certifications, additional requirements will include additional work experience, professional endorsements, and/or specific examinations beyond our academic curriculum.

The prominent certifications for this program's learners include the following:

Certified Health Data Analyst (CHDA)

Offered by the American Health Information Management Association (AHIMA), this certification demonstrates expertise in health data analysis, ensuring proficiency in collecting, managing, analyzing, and interpreting healthcare data.

Certified Analytics Professional (CAP)

Aimed at data scientists and analytics professionals, CAP certifies end-to-end understanding of the analytics process, from framing business and analytic problems to acquiring data, methodology, model building, deployment, and model lifecycle management.

Certified Professional in Healthcare Information & Management Systems (CPHIMS)

Provided by the Healthcare Information and Management Systems Society (HIMSS), CPHIMS is a globally recognized certification reflecting professional dedication and knowledge in healthcare information and management systems.

Certified Professional in Healthcare Quality (CPHQ)

This certification by the National Association for Healthcare Quality (NAHQ) is focused on healthcare quality and is recognized across the healthcare industry for professionals involved in performance improvement, patient safety, and quality management.

Registered Health Information Administrator (RHIA)

Offered by AHIMA, RHIAs are trained in managing patient health information and medical records, administering computer information systems, and collecting and analyzing patient data.

Certified Business Intelligence Professional (CBIP)

If the focus is on making strategic decisions based on data, CBIP recognizes skills in business intelligence and data warehousing disciplines, relevant to healthcare data analytics as well.

Is This Program Right for You?

If you can see yourself in any of the descriptions below, then our Master’s in Healthcare Data Analytics could be just what you're looking for.

  • Just Graduated? Maybe you're fresh from college with a degree in computer science, information technology, information management, or engineering, and you're looking for a way to dive deeper into the world of healthcare data analytics.
  • Healthcare Professional? Perhaps you're in healthcare or medicine and see how Big Data is becoming more and more important. Our program can give you a deep understanding of data analytics and how it can help improve patient care and management decisions.
  • IT Professional Seeking Healthcare Opportunities? Whether you're currently working in healthcare or aspire to transition into this industry, our program is designed to strengthen your data analytics knowledge. It equips IT professionals with the skills needed to design and implement effective data strategies across various healthcare settings.
  • Already in Healthcare Analytics? If you're already working with data in the healthcare field and want to boost your career, our master’s program will provide you with the latest knowledge and skills to take you to the next level.
  • Healthcare Manager or Executive? If you're leading a team or even an organization in healthcare, our program can give you a comprehensive understanding of data analytics, enabling you to drive data-driven strategies and improve healthcare outcomes within your organization.
  • Coming from a Different Field? Maybe you're not in healthcare or data analysis right now, but you've got a strong interest in these areas. Our program can give you the knowledge and skills to make a successful transition into healthcare data analytics.

If you see yourself in any of these descriptions apply for our Master’s in Healthcare Data Analytics program or get started in one of our micro-credentials.