Below you will find answers to some of the frequently asked questions about this program. For additional information on admission requirements, curriculum, tuition and more, please visit the specific pages on the navigation menu above.
For additional questions and answers, please visit our Frequently Asked Questions page.
The M.S. in Healthcare Data Analytics combines healthcare knowledge, data analytics and emerging technologies to prepare professionals to use data to improve patient care, manage costs and increase operational efficiency.
Developed by CSUN faculty in collaboration with healthcare data industry experts, the program combines foundational theory with real-world application and prepares students for opportunities across healthcare analytics, operations and leadership.
The program is made up of three specialized certificates that can be earned independently or combined toward the M.S. in Healthcare Data Analytics.
This flexible structure allows you to build expertise in specific areas of healthcare analytics based on your professional goals while creating a pathway toward completing the full master's degree.
The program includes three stackable certificates:
- Healthcare Data Management—focuses on managing and modeling complex healthcare data through programming, data management, governance, analysis and visualization.
- Healthcare Systems and Operations—focuses on the U.S. healthcare system, digital health and emerging technologies, epidemiology, biostatistics, and quality and operational management.
- Leadership and Strategy in Healthcare Analytics—focuses on connecting data analytics with strategic decision-making through leadership, statistical analysis, machine learning and artificial intelligence.
No. You can earn one or more of the certificates independently based on your professional and educational goals.
If you choose to continue toward the M.S. in Healthcare Data Analytics, credits from the certificates can be applied toward the master's degree.
The program is designed for healthcare practitioners, recent graduates and IT professionals interested in applying data analytics within healthcare.
It is also designed to help mid-career professionals build expertise at the intersection of healthcare, data and technology and prepare for leadership and strategic roles.
Yes. The program is fully online and designed to provide flexibility for working professionals.
Online courses include real-time class sessions, on-demand access to learning materials and opportunities to connect and network with classmates.
The full M.S. in Healthcare Data Analytics is designed to be completed in two years.
The program follows a cohort format, allowing students to progress through the program with the same group of peers. Cohorts are limited to 45 students.
Students develop skills for working with healthcare data and applying analytics to healthcare challenges. Depending on the certificate and courses completed, areas of study include:
- Healthcare data management and governance
- Programming for healthcare analytics
- Data visualization
- Healthcare systems and digital health
- Quality and operational management
- Statistical analysis
- Machine learning and artificial intelligence
- Strategic decision-making
- Ethical data use and patient privacy
Yes. The program addresses the application of machine learning and artificial intelligence in healthcare analytics.
Students also examine important considerations surrounding these technologies, including bias in AI and machine learning, ethical data use and patient privacy.
Yes. Students pursuing the master's degree complete a collaborative graduate project at the end of the program.
Student teams collaborate with industry professionals on the project while receiving feedback from faculty advisors. The experience culminates in a showcase of the teams' solutions, providing an opportunity to apply knowledge developed throughout the program to practical challenges.
Graduates are prepared for data, analytics, technology and operational roles across healthcare settings. Healthcare data professionals work in organizations such as medical clinics, hospitals, government agencies, pharmaceutical companies and insurance companies.
Potential roles include:
- Healthcare Data Analyst
- Clinical Data Analyst
- Healthcare Business Analyst
- Data Scientist
- Health Informatics Specialist
- Healthcare Consultant
- Data Manager
- Research Analyst
- Statistician
- Healthcare Administrator
- Data Visualization Specialist
- Predictive Analytics Modeler
- Healthcare Operations Analyst
- Public Health Data Analyst
Healthcare organizations use data to better understand patient and operational needs, improve patient safety, manage costs and increase efficiency.
The program prepares students to apply data and analytics to these types of healthcare challenges and contribute to data-informed decision-making across clinical, public and private healthcare settings.
Students receive one-on-one support from a team dedicated to their academic and professional success. Support includes academic guidance, enrollment assistance, financial aid resources and ongoing program support to help students stay on track throughout the program and progress toward completion.
For additional questions and answers, please visit our Frequently Asked Questions page.
