Artificial Intelligence in Digital Health Graduate Certificate
July 15, 2026
August 25, 2026
Gain expertise in healthcare AI with the Artificial Intelligence in Digital Health Certificate
Ohio State’s online Artificial Intelligence (AI) in Digital Health certificate provides a comprehensive, in-depth look at the role of AI in medicine. With a focus on practical applications and real-world examples, you will gain the knowledge and skills needed to excel as data scientists and project managers within the healthcare or IT industries.
This graduate online artificial intelligence certificate is designed for students with computer science or biomedical backgrounds aspiring to learn about artificial intelligence in medicine and healthcare professionals who want to learn AI technology. Course content focuses on the future of AI in health care. Learn how data is generated, collected, and annotated; use existing or develop new AI/ML models for health care data analytics; and effectively communicate and disseminate knowledge in any science or engineering domain.
Frequently Asked Questions
This program has been created for professionals and students within digital healthcare, particularly those with backgrounds in computer science, biomedicine or biomedical informatics. It aims to offer learners with comprehensive knowledge and practical skills in applying artificial intelligence (AI) technology to healthcare settings. This program offers professional development for career advancement and skill enhancement in a rapidly evolving field.
In order to qualify for this program, you must have completed your bachelor’s degree and two courses in computer science, math, statistics, analytics, or similar; or bachelor’s degree and two years of professional experience in data science.
Multiple programming languages and software tools are used to work with biomedical informatics data and new ones are continuously being developed. Upon completing the course, you will have acquired the necessary programming knowledge and skills to program in Python and implement popular data analysis methods and machine learning algorithms for Biomedical Informatics research.
Our college offers a wide range of academic resources to support student success. These include tutoring services, writing centers, and academic advising. Additionally, there are numerous workshops on study skills, time management, and test preparation. Students can also access online resources through the library’s website, such as research databases, e-books, and academic journals. For specific needs, faculty office hours provide an excellent opportunity for personalized assistance.
Related Programs
Related Programs
Biomedical Informatics Graduate Certificate
Biostatistics Graduate Certificate
Clinical Research Management Graduate Certificate
Academic Calendar
Enrollment for this program is in Autumn term, with the application deadline in July.
Academic Calendar
Enrollment for this program is in Autumn term, with the application deadline in July.
Admission Criteria
To be considered for this program, you must meet the following requirements:
- Bachelor’s degree
- Two courses in computer science, math, statistics, analytics, or similar; or bachelor’s degree and two years of professional experience in data science are required for the program.
For your application, you will be required to submit:
- Copies of official transcripts from every college/university where you have earned credit
- Current Resume or Curriculum Vita, not to exceed 2 pages
- Personal Statement/Statement of Purpose: Include your full name and state how your schooling, work, research and life experiences prepare you for graduate study in Artificial Intelligence in Digital Health. Please also describe your current research interests and career goals, and explain how the program will enable you to achieve them.
The Ohio State University participates in the State Authorization Reciprocity Agreements (SARA).
SARA is a national initiative that increases student access to distance education courses and programs while maintaining compliance with state regulations. Institutions participating in SARA can offer educational opportunities in all 49 SARA member states, the District of Columbia, the U.S. Virgin Islands and Puerto Rico without seeking individual approval in each state.
California is not a SARA member state, however, OSU may offer online courses and programs to students located in California under the California Private Post-Secondary Act of 2009.
The Application Process
Once you understand your program’s admission criteria, please note the application deadline. You’ll need a quiet space and a variety of materials for your application. To learn more, please see our Admissions page for the full process. Ready to Apply? Find your application here.
Career Outlook
The intersection of AI and healthcare is booming. Professionals with expertise in this field are in high demand across tech, healthcare, and research sectors. From developing AI-powered diagnostic tools to optimizing healthcare operations, there are many opportunities in which this certificate can help you further your career in artificial intelligence.
Top Occupations by Median Income
What They Do
Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.
Work Activities
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques. Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve. Maintain awareness of new and emerging computational methods and technologies.
Wage Range
- Entry Level: $40,330
- Mid Level: $71,490
- Senior Level: $154,140
Job Outlook
Bright
Projected Growth
6.9%
Related Careers
- Biological Technicians
- Data Scientists
- Database Architects
- Health Information Technologists and Medical Registrars
- Statistical Assistants
Job Sectors
- Computers and Electronics
- Mathematics
- English Language
- Biology
What They Do
Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.
Work Activities
Develop new software applications or customize existing applications to meet specific scientific project needs. Communicate research results through conference presentations, scientific publications, or project reports. Create novel computational approaches and analytical tools as required by research goals.
Wage Range
- Entry Level: $54,500
- Mid Level: $93,330
- Senior Level: $159,780
Job Outlook
Bright
Projected Growth
5.6%
Related Careers
- Bioinformatics Technicians
- Biostatisticians
- Data Scientists
- Geneticists
- Molecular and Cellular Biologists
Job Sectors
- Biology
- Computers and Electronics
- Mathematics
- English Language
- Chemistry
What They Do
Apply knowledge of healthcare and information systems to assist in the design, development, and continued modification and analysis of computerized healthcare systems. Abstract, collect, and analyze treatment and followup information of patients. May educate staff and assist in problem solving to promote the implementation of the healthcare information system. May design, develop, test, and implement databases with complete history, diagnosis, treatment, and health status to help monitor diseases.
Work Activities
Assign the patient to diagnosis-related groups (DRGs), using appropriate computer software. Compile medical care and census data for statistical reports on diseases treated, surgery performed, or use of hospital beds. Design databases to support healthcare applications, ensuring security, performance and reliability.
Wage Range
- Entry Level: $39,120
- Mid Level: $67,310
- Senior Level: $112,130
Job Outlook
Bright
Projected Growth
16.3%
Related Careers
- Clinical Data Managers
- Clinical Research Coordinators
- Health Informatics Specialists
- Medical Records Specialists
- Patient Representatives
What They Do
Apply knowledge of nursing and informatics to assist in the design, development, and ongoing modification of computerized health care systems. May educate staff and assist in problem solving to promote the implementation of the health care system.
Work Activities
Translate nursing practice information between nurses and systems engineers, analysts, or designers, using object-oriented models or other techniques. Use informatics science to design or implement health information technology applications for resolution of clinical or health care administrative problems. Develop or implement policies or practices to ensure the privacy, confidentiality, or security of patient information.
Wage Range
- Entry Level: $63,160
- Mid Level: $103,790
- Senior Level: $166,030
Job Outlook
Bright
Projected Growth
10.7%
Related Careers
- Clinical Data Managers
- Health Education Specialists
- Health Information Technologists and Medical Registrars
- Medical and Health Services Managers
- Nurse Practitioners
Job Sectors
- Computers and Electronics
- English Language
- Medicine and Dentistry
- Education and Training
- Customer and Personal Service
What They Do
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
Work Activities
Design and validate clinical databases, including designing or testing logic checks. Process clinical data, including receipt, entry, verification, or filing of information. Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.
Wage Range
- Entry Level: $63,650
- Mid Level: $112,590
- Senior Level: $194,410
Job Outlook
Bright
Projected Growth
36%
Related Careers
- Bioinformatics Technicians
- Clinical Research Coordinators
- Data Scientists
- Health Informatics Specialists
- Social Science Research Assistants
Job Sectors
- English Language
- Computers and Electronics
- Customer and Personal Service
- Mathematics
- Medicine and Dentistry
What They Do
Plan, direct, or coordinate clinical research projects. Direct the activities of workers engaged in clinical research projects to ensure compliance with protocols and overall clinical objectives. May evaluate and analyze clinical data.
Work Activities
Schedule subjects for appointments, procedures, or inpatient stays as required by study protocols. Perform specific protocol procedures such as interviewing subjects, taking vital signs, and performing electrocardiograms. Assess eligibility of potential subjects through methods such as screening interviews, reviews of medical records, or discussions with physicians and nurses.
Wage Range
- Entry Level: $79,830
- Mid Level: $161,180
- Senior Level:
Job Outlook
Bright
Projected Growth
7.5%
Related Careers
- Clinical Data Managers
- Clinical Nurse Specialists
- Health Informatics Specialists
- Health Specialties Teachers, Postsecondary
- Social Science Research Assistants
Job Sectors
- Customer and Personal Service
- English Language
- Administrative
- Medicine and Dentistry
What They Do
Apply knowledge of engineering, biology, chemistry, computer science, and biomechanical principles to the design, development, and evaluation of biological, agricultural, and health systems and products, such as artificial organs, prostheses, instrumentation, medical information systems, and health management and care delivery systems.
Work Activities
Evaluate the safety, efficiency, and effectiveness of biomedical equipment. Prepare technical reports, data summary documents, or research articles for scientific publication, regulatory submissions, or patent applications. Design or develop medical diagnostic or clinical instrumentation, equipment, or procedures, using the principles of engineering and biobehavioral sciences.
Wage Range
- Entry Level: $71,860
- Mid Level: $106,950
- Senior Level: $165,060
Job Outlook
Bright
Projected Growth
7.4%
Related Careers
- Biochemists and Biophysicists
- Bioinformatics Scientists
- Chemical Engineers
- Nanosystems Engineers
- Nanotechnology Engineering Technologists and Technicians
Job Sectors
- Engineering and Technology
- Computers and Electronics
- Mathematics
- Design
- Physics
What They Do
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Work Activities
Analyze, manipulate, or process large sets of data using statistical software. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
Wage Range
- Entry Level: $63,650
- Mid Level: $112,590
- Senior Level: $194,410
Job Outlook
Bright
Projected Growth
36%
Related Careers
- Bioinformatics Technicians
- Financial Quantitative Analysts
- Operations Research Analysts
- Statistical Assistants
- Statisticians
National occupational information in Ohio State Online’s Career Outlook tool is sourced from O*NET Online and the U.S. Bureau of Labor Statistics (BLS). The median annual wage displayed to the right of each occupational title above is based on the BLS Employment Projections program. Outlook and percent change indicate projected growth or decline over the next 10 years.
Curriculum
The AI in Digital Health certificate offers a deep dive into how artificial intelligence is revolutionizing healthcare. Through practical learning and real-world case studies, you will develop expertise within this expanding field. This graduate certificate is a total of four asynchronous courses, one required core course and three elective courses.
This course provides foundational and practical knowledge, skills, and tools for programming in Biomedical Informatics, a field that utilizes complex and diverse data. Multiple programming languages and software tools are used to work with these data and new ones are continuously developed. Upon completing the course, students will have acquired the necessary programming knowledge and skills to program in Python and implement popular data analysis methods and machine learning algorithms for Biomedical Informatics research.
Students will interact with ML/AI technologies to create novel innovations in biomedical and clinical research and healthcare.
Students gain an introductory knowledge of how AI can be used in medical image processing applications.
As EHR databases are becoming more standardized and integrated across multiple hospital systems, they are gaining increasing attention from the informatics community as a resource to be mined, for example, to assess quality of patient care, develop early prediction models for disease, and define disease phenotypes.
This course introduces trainees to the natural language processing and text mining on biomedical data, including clinical notes from electronic medical records and biomedical literature.
Understanding Online Course Types
As you research the right online program for you, you likely will come across the terms “asynchronous” and “synchronous.” Learn what these terms mean and how they’re important to consider when understanding how a program will fit into your life.
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Program Faculty
The Ohio State University College of Medicine Department of Biomedical Informatics (DBMI) is an internationally recognized academic leader in the field of biomedical informatics. Our faculty excel in research and education across a broad spectrum of biomedical informatics, including artificial intelligence, clinical data analysis, and population health studies.
Xia Ning
Professor
Xia Ning is a computer scientist specializing in using artificial intelligence and data analysis to solve problems in healthcare and drug development. She develops computer models to analyze large amounts of medical and chemical data to discover new drugs and improve patient care.
Ping Zhang, PhD
Associate Professor
Kimerly Powell
Associate Professor
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Tuition Fee Overview
Investing in your future with a higher education degree is one of the best investments you can make for your future success. At Ohio State, we know understanding your program’s cost is an important part of your decision-making process. Below are the tuition fees you can expect with your program. Estimates are based on the expenses typical of an Ohio State Online student who would take 6 credit hours each semester as a part-time student. Actual costs may vary.
| Tuition Fees | Part-Time – Per Credit Hour (unless otherwise noted) |
|---|---|
| Instructional Fee | $829.75 |
| General Fee | $32.63 |
| Program Fee | $11.00 |
| Distance Learning Fee | $100.00 (per semester) |
| Non-Resident Surcharge (if applicable) | $200.00 (per semester) |
| Course Materials and Textbooks | $50.00 (per semester) |
Tuition fees are subject to change. The table above serves as a guide and not an official bursar’s bill. Full-Time costs are total tuition costs per semester.
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