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You know the data. Now lead healthcare with a master's degree in health data analytics.
What Industries Can I Work in with an MS in Health Data Analytics?
Earning a Master of Science in Health Data Analytics can open doors to opportunities across a growing range of healthcare and data-driven industries. Graduates may find roles in Hospitals and Health Systems, Health Insurance and Managed Care Organizations, Healthcare Technology Companies, Electronic Health Record (EHR) Vendors, Government Healthcare Agencies, Public Health Organizations, Pharmaceutical and Biotechnology Companies, Health Research Organizations, Population Health Management Organizations, Healthcare Consulting Firms, Long-Term Care and Post-Acute Care Organizations and Digital Health and Telehealth Companies.
Source: U.S. Bureau of Labor Statistics, Data Scientists Occupational Outlook Handbook.
What Jobs Can I Apply for with an MS in Health Data Analytics?
Graduates holding a Master of Science in Health Data Analytics may qualify for a variety of analytical, technical, operational, and leadership positions, including Senior Healthcare Data Analyst, Healthcare Data Scientist, Clinical Data Manager, Clinical Informatics, Specialist, Clinical Informatics Consultant, Healthcare Business Intelligence Analyst, Population Health Analyst, Healthcare Analytics Manager, Health Information Manager, Health Information Systems Analyst, Health IT Program Manager, Digital Health Program Manager, Quality Analytics Specialist, Revenue Cycle Analytics Manager, Healthcare Reporting Analyst and Healthcare Research Analyst.
The degree can also help experienced healthcare professionals advance into leadership roles that require expertise in data-driven decision-making, healthcare technology, and analytics strategy.
Check out our Career Outlook planner for Career and Salary prospects in your region!
- 100% Online Program
- Affordable Tuition for All Students
- Pay one affordable tuition rate regardless of where you live, with no additional out-of-state tuition costs
- Aligned with Industry Health Informatics Competencies
- Students benefit from a competency-based curriculum informed by the foundational domains identified by the American Medical Informatics Association (AMIA), including:
- Health
- Information Science and Technology
- Social and Behavioral Science
- Health Information Science and Technology
- Human Factors and Sociotechnical Systems
- These domains support the knowledge and skills employers seek in today's healthcare analytics and informatics professionals.
- Students benefit from a competency-based curriculum informed by the foundational domains identified by the American Medical Informatics Association (AMIA), including:
- Transfer Credit and Prior Learning Opportunities
- Eligible students may transfer up to 6 graduate credits and may also have the opportunity to earn up to 6 additional credits through prior learning assessment and qualified professional credentials. See program policies for detailed requirements.
- Expert Faculty with Real-World Experience
- Learn from experienced professionals who bring current healthcare analytics, informatics, and leadership expertise into the virtual classroom.
- No GRE Required
- Advance your education without the barrier of standardized graduate admissions testing.
- Career-Focused Healthcare Analytics Curriculum
- Develop practical skills in:
- Healthcare Analytics
- Clinical and Operational Data Analysis
- Healthcare Informatics
- Data Visualization
- Healthcare Decision Support
- Population Health Analytics
- Strategic Use of Healthcare Data
- Digital Health Technologies
- Develop practical skills in:
- Designed for Working Professionals
- Flexible online learning allows students to immediately apply new analytics and informatics knowledge to their current workplace.
- Connecticut's Public Online College
- Earn a respected graduate degree from an institution dedicated to serving adult learners and career-focused professionals.
- Charter Oak Graduate Advantage
- Already earned your bachelor's degree from Charter Oak State College? You may qualify for a 10% graduate tuition discount while continuing your educational journey with a flexible online master's degree.
- In-Demand Skills You Will Build
- Graduates develop skills in:
- Data Analytics and Interpretation
- Healthcare Informatics
- Population Health Analytics
- Predictive Analytics
- Healthcare Business Intelligence
- Data Visualization
- Data Governance
- Clinical Decision Support
- Healthcare Technology Management
- Health Information Systems
- Strategic Leadership
- Project Management
- Graduates develop skills in:
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- 3 credits
- Core Total 33 credits
* This course will not be accepted in transfer and can only be taken at Charter Oak. Minimum grade of 'B' is required.
Admissions Requirements:
- A bachelor's degree from a regionally accredited institution, or international institution equivalent to a U.S. regionally accredited institution, with a grade point average of 3.0 or better. Students with GPA’s between 2.7 and 3.0 may be considered in combination with other admissions criteria.
- Professional resume.
- 500-700 word essay describing specific career goals and objectives and motivation to pursue the advanced degree.
Academic Requirements:
- A minimum 'B-' grade is required in all graduate courses with the exception of the Capstone Course which requires a minimum “B” grade. Students must obtain an overall GPA of 3.0 (B) in order to graduate. All students should refer to the Academic Probation policy regarding grades lower than a 'B-' in the graduate program.
The M.S. Health Data Analytics Program Competency Model is designed to include AMIA’s Domains identified as pertinent and essential foundation for Health Informatics. The Domains and Competencies are aligned with the program’s overall mission and vision of the program.
AMIA – the discipline of health informatics exists at the confluence of the following major Domains:
F1. HEALTH
Health refers to the biomedical and health sciences underlying AMIA’s 5 major informatics areas: translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics, and public health informatics. The biomedical and health sciences aim to understand and improve human health. To identify and develop solutions to biomedical informatics problems, students must understand the history, goals, methods (including data and information used and produced), and current challenges of the major health sciences, including human biology, genomics, clinical and translational science, healthcare delivery, personal health, and public health.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Describe the history, goals, methods (including data and information used and produced), and current challenges of the major health science fields. These include biology, genomics, clinical and translational science, healthcare delivery, personal health, and public health.
F2. INFORMATION SCIENCE AND TECHNOLOGY
Information Science and Technology refers to the key concepts, methods, and tools for creating, acquiring, storing, representing, accessing, merging, organizing, processing, transferring, analyzing, reporting, and visualizing data, information, and knowledge. It also includes the methods and tools for protection of the data, information, and knowledge from unauthorized access. Included are under- standing how information is used and the ability to assess the information needs of users. Familiarity is required with basic computer science terminology and concepts, including terms and concepts related to information systems and computer programming, information retrieval, ontologies, business intelligence, analytics, and user interface design.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Identify the applicable information science and technology concepts, methods, and tools, which may be dependent upon the ap- plication area of the training program, to solve health informatics problems. These include the concepts, methods, and tools related to managing data, information, and knowledge, the basic information and computer science terms and concepts, the principles of information security, as well as the methods of assessing users’ information needs.
F3. SOCIAL AND BEHAVIORAL SCIENCE
Social and Behavioral Science refers to basic social, behavioral, psychological, and management theories, methods, and models as well as the legal and regulatory frameworks that seek to describe human actions and interactions as well as human behavior in society. It includes concepts from fields such as sociology, economics, anthropology, political science, law, psychology, and management and cognitive sciences. It is concerned with the application of social, behavioral, psychological, and management theories, methods, and models to the design, implementation, and evaluation of health in- formation behaviors at the levels of individual, social group, organizations, and society, which are influenced by laws and regulations. The purpose is to contribute to decreasing health-damaging behaviors and improving health-promoting behaviors and psychosocial well-being through health informatics perspectives.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Identify the effects of social, behavioral, legal, psychological, management, cognitive, and economic theories, methods, and models applicable to health informatics from multiple levels, including individual, social group, and society.
F4. HEALTH INFORMATION SCIENCE AND TECHNOLOGY
Health Information Science and Technology refers to the array of health information science and technology methods, tools, and standards for collecting, organizing, representing, sharing, integrating, using, governing, and learning from biomedical and health data, information, and knowledge across the entire spectrum of informatics domains. Systems design and development addresses standards, integration, interoperability, and protection of information. These competencies also address computational thinking, which includes problem solving, systems design, and understanding human behavior, as associated with computer science.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Identify possible biomedical and health information science and technology methods and tools for solving a specific biomedical and health information problem. Core health information technology tools may be dependent upon the application area of the training program.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Design a solution to a biomedical or health information problem by applying computational and systems thinking, information science, and technology.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Demonstrate consideration of the advantages and limitations of using information science and technology to solve biomedical and health information problems as well as the needs of the different stakeholders and context.
F5. HUMAN FACTORS AND SOCIO-TECHNICAL SYSTEMS
Human Factors and Socio-technical Systems refers to the interactions between human behaviors (physical, social, cognitive, and psychological) and information technologies. People and organizations are the ultimate users of health information and technologies. This domain draws on the social, behavioral, cognitive, economic, hu- man factors engineering, and management and systems sciences in considering the needs, workflows, and practices of individuals and organizations in the context of information systems and technology.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Draw on socio-technical knowledge regarding the social behavioral sciences and human factors engineering to apply to the design and implementation of information systems and technology.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Apply social behavioral theories and human factors engineering to the design and evaluation of information systems and technology.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Demonstrate consideration and respect for the role of users in the design and application of information systems and technology.
F6. SOCIAL AND BEHAVIORAL ASPECTS OF HEALTH
Social and Behavioral Aspects of Health refers to action(s) taken by an individual, groups of individuals, or an organization to manage the health of an individual or population. It entails social determinants and patient-generated data, analyses of problems arising from health or disease, the implications of these problems on daily activities, and the practical solutions to managing these problems. Patient behavior (that may be affected by genotypes and phenotypes), health literacy, informed decision making, patient engagement, and patient activation are examples of issues in this domain. Other common topics in this domain, depending on the program focus, may include health-behavioral paradigms, such as health and healthcare self- management, substance abuse, utilization of healthcare services, characteristics of nutrition, exercise/physical activity habits, organizational network analyses, precision medicine and individualized care, etc.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Identify theories or models that explain and modify patient or population behaviors related to health and health outcome.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Apply models, which may be dependent upon the application area of the training program, to address social and behavioral problems related to health of individuals, populations, and organizations.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Acknowledge the importance of social and behavioral aspects of health and their contribution to the health of individuals and populations.
F7. SOCIAL, BEHAVIORAL, AND INFORMATION SCIENCE AND TECHNOLOGY APPLIED TO HEALTH
Social, Behavioral, and Information Science and Technology Ap- plied to Health refers to the integration of social, business, human factors, behavioral, and information sciences and technology on the design, implementation, and evaluation of health informatics solutions. The application of health technologies and clinical and/or business processes can impact individual and community health out- comes at numerous levels from molecular and biological systems, to healthcare and organizational protocols, to social systems and public health.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Identify the theories, models, and tools from social, business, hu- man factors, behavioral, and information sciences and technologies for designing, implementing, and evaluating health informatics solutions. Theories, models, and tools may be dependent upon the application area of the training program.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Integrate and apply the theories, models, and tools from social, business, human factors, behavioral, and information sciences and technologies to design, implement, and evaluate health informatics solutions. Theories, models, and tools may be dependent upon the application area of the training program.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Demonstrate an awareness of the interrelatedness of social, business, human factors, behavioral, and information sciences and technology in the design, implementation, and evaluation of health informatics solutions.
F8. PROFESSIONALISM
Professionalism refers to the level of excellence or competence that is expected of a health informatics professional and includes such concepts as the maintenance and utilization of knowledge and technical skills, which may be dependent upon the application area of the training program; commitment to professional ethical principles including those in AMIA’s Code of Ethics; and maintenance of the highest standards of excellence in the field including professional development. In health informatics, there is a particular emphasis on preserving the confidentiality, privacy, and security of patient and other health data and information and balancing it with appropriate stakeholder access.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Define and discuss ethical principles and the informaticians’ responsibilities to the profession, their employers, and ultimately to the stakeholders of the informatics solutions they create and maintain.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Demonstrate professional practices that incorporate ethical principles and values of the discipline.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Demonstrate awareness of the value of information literacy and lifelong learning, maintenance of skills, and professional excellence.
F9. INTERPROFESSIONAL COLLABORATIVE PRACTICE
Interprofessional Collaborative Practice (ICP) refers to the shared, coordinated work among peers from different professions in order to achieve a common goal or mission. The work may range from local projects to those on a national and international scale and should be performed in an ethical manner that involves honesty, integrity, trust, and respect. Part of this domain is teamwork and team science, which involves drawing on individual team members’ strengths and expertise and assigning designated roles and methods to achieve the goals and mission. ICP requires effective communication skills. In summary, the domain requires mastery of values/ ethics, roles/responsibilities, interprofessional communication, and team/teamwork.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Define and discuss the scope of practice and roles of different health professionals and stakeholders including patients, as well as the principles of team science and team dynamics to solve complex health and health information problems.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Apply relationship-building skills and the principles of interprofessional communication in a responsive and responsible manner that supports a team approach to solve complex health and health information problems.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Recognize the importance of mutual respect and shared values, as well as one’s own role, the role of other professions and stake holders including patients, and the role of teamwork and team science to solve complex health and health information problems.
F10. LEADERSHIP
Leadership refers to the interactive process for which the output is vision, guidance, and direction. Essentials of leadership include vi-ion, communication skills, stewardship, acting as a change agent, and the developing and renewing of followers and future leaders. Leaders must envision goals, set priorities, manage change, make decisions, communicate, serve as a symbol of one who is willing to take risks and has credible expertise, and guide others by motivating other leaders as well as those who will follow. The concept of followership refers to a role held by certain individuals in an organization, team, or group. Specifically, it is the capacity of an individual to actively follow a leader. For leaders to be successful at leadership, they must possess the following characteristics: credibility, honesty, competence, ability to inspire, and the ability to formulate and communicate a vision.
Knowledge
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Articulate the methods, concepts, tools, and characteristics of leading and leadership.
Skills
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Employ leadership and followership methods, concepts, and tools to motivate others toward accomplishing a health informatics vision.
Attitudes/abilities
At the time of graduation from an applied Master of Science in Health Data Analytics Program, the graduate student will be able to...
Demonstrate leadership behaviors for achieving a vision for health informatics solutions.
Source: AMIA Core Competencies for Applied Health Informatics Education at the Master’s Degree Level
Ven diagram showing the overlap of the Domains in the Competency model. F7 is in the center flanked by F4, F5 and F6. F1 borders F6 and F4. F2 borders F4 and F5. F3 borders F5 and F5. F8, F9 and F10 are on the outside.
- The S&E workforce has shown sustained growth for more than half a century.
- The U.S. Bureau of Labor Statistics projects that, during the period 2010–2020, employment in S&E occupations will grow by 18.7%, compared to 14.3% for all occupations.
- Individuals employed in S&E occupations earn considerably more than the median earnings for all occupations. Median earnings for S&E occupations were $74,380 in 2009 and $78,270 in 2012. Median earnings for all occupations were $33,190 in 2009 and $34,750 in 2012.
The mission of the M.S. in Health Data Analytics program is to develop professionals who are adept at leveraging data analytics to improve healthcare delivery and outcomes. Through an interdisciplinary curriculum combining data science, healthcare management, and informatics, the program seeks to cultivate leaders capable of transforming health data into meaningful insights that drive innovation and evidence-based practices in the healthcare industry.
By advancing the use of health data analytics, we aim to be a leader in health data education, empowering graduates to become changemakers in the rapidly evolving healthcare landscape.
Brooke N. Palkie
EdD, RHIA, FAHIMA
Brooke is the Program Director for the MS Health Care Administration and M.S. Health Data Analytics Programs at Charter Oak State College. Brooke is the Program Director for the MS Health Care Administration and M.S. Health Data Analytics Programs at Charter Oak State College. She has taught in higher education for the last ten years with a teaching focus on corporate compliance, assessing healthcare quality, classifications, vocabularies, and clinical data standards. Prior to her higher education career, Dr. Palkie worked in leadership roles throughout the hospital setting as well as for the State of Minnesota. Dr. Palkie graduated from the College of St. Scholastica with a bachelor’s and master’s degree in health information management with a focus on health management and received her Ed.D. from Capella University with a focus on educational leadership.
Danika Brinda
Ph.D.
Dr. Danika Brinda has over 20 years of experience in healthcare, specializing in health information management, privacy, security, and compliance. She holds a Ph.D. in Information Technology with a focus on Information Assurance and Security, a Master's degree in Health Informatics and Information Management, and a Bachelor's degree in Health Information Management and Computer Science and Information Systems. Throughout her career, Dr. Brinda has held various leadership positions in healthcare organizations, higher education, and consulting. She has extensive experience in healthcare privacy and security and has taught in Health Information Technology (HIT), Health Information Management (HIM), and graduate-level programs since 2004. She enjoys bringing real-world industry experience into the classroom and helping students connect course concepts to practical applications. Dr. Brinda has been actively involved in the American Health Information Management Association (AHIMA) and the Minnesota Health Information Management Association (MnHIMA). She previously served as President of MnHIMA and on the Boards of Directors for both AHIMA and the AHIMA Foundation. She strongly believes in the importance of professional involvement, networking, and lifelong learning. Outside of her professional career, Dr. Brinda lives in Minnesota with her husband and two daughters. She enjoys spending time with her family, traveling, and staying involved in her community.
Fritz Barionette
D.H.Sc., MSBI, C.Ph.T.
Dr. Barionette possesses over sixteen years of experience in the health information technology and data analytics sectors, with a focus on implementing and optimizing Electronic Medical Records (EMR) and Electronic Health Records (EHR) systems. His background also includes more than ten years of project management and over twenty years of leadership in healthcare. He has collaborated extensively with hospital and health system executives to define project scopes, develop strategic roadmaps, and support planning initiatives. His expertise encompasses sales support, client and sales education, development of product implementation strategies, data management and analytics, milestone and timeline management, and the successful delivery of business outcomes. In addition to his industry experience, Dr. Barionette has taught healthcare informatics and administration for over twelve years. He has conducted various courses and serves as a field preceptor, providing practical learning opportunities for students.
James Hoover
Jim is the lead instructor for the Healthcare Informatics and Technology course. In addition to teaching at Charter Oak, Jim is co-founder of Medarcus, a product and services healthcare IT firm based out of Washington, D.C. and Los Angeles, CA. Jim is the inventor of several healthcare IT-related products in the areas of patient matching, modern search, overlay detection, data quality measurement, and denials management. Jim is an active member of the HIM community and regularly presents at conferences, gives webinars, and produces YouTube videos on various healthcare IT topics. Jim is a California Health Information Management Association (CHIA) member and is a regular contributor to the CHIA Journal. In addition, he is very active on both the CHIA Health Information Integrity (former Co-Chair) and the Education Advisory Board Committees. Jim is a serial entrepreneur and prior to healthcare, he built companies in the finance, dot-com, and national security industries. Jim has a master's of computer science from Johns Hopkins University and a bachelor's of computer science, magna cum laude, from Randolph-Macon College. He is a member of Phi Beta Kappa and is a lifelong learner.
Nicole Kapinos
DNP, RN
Nicole Kapinos, DNP, RN is the Director of Population Health/Quality Improvement at the Federally Qualified Health Center Urban Health Network (FUHN). She has over 10 years’ experience in healthcare as a registered nurse, operations manager, and clinical healthcare informaticist. Her current role blends all those experiences to provide support to FUHN clinics as they endeavor to improve population health, enhance patient experience, reduce costs and improve primary care access for the patients they serve. FUHN clinics are Federally Qualified Health Centers (FQHCs) who serve the most vulnerable patients in the Twin Cities metro area. She holds a Bachelor of Science in Nursing from the University of Rhode Island and a Doctor of Nursing Practice in Nursing Informatics from the University of Minnesota.
Percis Drew
DrPH
coming soon
Srinivas Kolli
Srinivas Kolli is a seasoned IT Leader with a demonstrated history of working in the information technology and services industry. Strong healthcare program and project management professional skilled in Agile, Data Analytics, Business Intelligence, DevOps, Cloud Architecture, ERP, CRM, Linux, and Enterprise Architecture. He has been an adjunct faculty at multiple institutions teaching HIM & IT related courses for over 7 years.
Students who graduate with a Master of Science in Health Data Analytics will be able to:
- Apply health data analytics and technology concepts and skills to case studies and real-world situations
- Calculate and asses skills in collecting, cleaning, and transforming health data from data sets for decision-making in the healthcare environment
- Apply health policies and practices in areas such as legal, ethical, privacy, security, and information governance
- Create and present complex healthcare data analyses through visualization and reporting tools (PowerBI, Excel, etc.)
- Develop systems design and software initiatives for healthcare organizations
- Compile, conduct, and create new information for healthcare data interpretation based on the use of technology and datasets through data analytics
- Create machine learning algorithms and predictive models to forecast health trends, patient outcomes, and operational efficiencies in healthcare
- Apply advanced programming languages to automate data processing workflows and create algorithms for predictive analytics in healthcare
As with all other health professions, the work of health informaticians affects the health, safety, and effectiveness of those working and being cared for within the system of healthcare delivery.
For a full description of the domains, please view the 2017 American Medical Informatics Association Accreditation Committee competencies (opens a PDF file).
The Master of Science in Health Data Analytics Program is designed to prepare graduates to sit for the Certified Health Data Analyst (CHDA®). Read about the CHDA® certification on the AHIMA website.
The knowledge gained in this program may complement professionals pursuing credentials such as:
- Certified Health Data Analyst (CHDA®)
- Certified Professional in Healthcare Information and Management Systems (CPHIMS®)
- Certified Associate in Healthcare Information and Management Systems (CAHIMS®)
- Certified Healthcare Technology Specialist (CHTS®)
- Health Informatics Certifications
- Healthcare Quality Certifications
Program completion does not guarantee certification eligibility. Students should review certification requirements independently.
Save Time & Money with Transfer Credit and/or Credit for Prior Learning
Applicants may transfer in up to 6 graduate-level credits from other regionally accredited institutions if the credits are equivalent to the content offered in one of the required courses of the program. Transfer credits must be no more than 10 years old and the student must have earned a “B” or better.
Students may also be able to earn up to 6 credits through an assessment of their prior learning and evaluation of credentials earned.
See information about your Financial Aid options.
See why students choose Charter Oak for a MS in Health Data Analytics.
FAQs
- Healthcare professionals seeking analytics leadership roles
- Health information management professionals
- Clinical professionals transitioning into informatics
- Healthcare IT professionals
- Data analysts seeking specialization in healthcare
- Public health professionals
- Quality improvement specialists
- Healthcare managers seeking data-driven leadership skills
Application and Admission Data
Fiscal year 2021
- Applications = 13
- Accepts = 13
- Acceptance rate = 13/13 = 100%
- Enrolled = 10
- Enrollment rate = 10/13 = 77%
The Classification of Instructional Programs (CIP) code for the MS in Healthcare Informatics is 51.2706, listed as Medical Informatics, according to the “STEM Designated Degree Program list” from the US Department of Homeland Security. It is considered a Science, Technology, Engineering, and Math (STEM) field.
- 100% online courses
- 33 credit program
- 8-week courses
- Expert Faculty