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Defend Patient Data. Advance Your Career.
Earn a graduate certificate in Cybersecurity for Health and Medical Data from Meharry SACS. This accelerated, fully online program that blends hands-on training with real health care scenarios, preparing you to protect sensitive medical information, respond to breaches and support privacy-first security practices across the health care ecosystem.
High Demand. Higher Stakes
The health care industry remains the most targeted sector for cybercrime with the highest average breach costs, yet it faces a critical shortage of specialized talent within a global cybersecurity workforce gap that has reached 4.8 million professionals as of 2026.[1][2]
Why Choose this Certificate Program?
Accelerated, graduate credential: Earn a focused, credit-bearing certificate in just 12–15 weeks.
Live, online evening classes: Experience the same student and faculty interaction as an in-person classroom with a schedule built for working adults.
Expert faculty: Learn from leaders who are actively pursuing novel solutions to protect patient privacy and data.
Cybersecurity lab: Access AI tools and software-defined networking (SDN), edge, privacy, digital forensics, hacking, digital twin and cloud computing technologies.
Hands-on practical experience: Develop portfolio of cybersecurity projects to impress future employers.
AI and machine learning focus: Training is integrated with advanced computing and networking courses.
Stackable credits: Apply your credits toward Meharry graduate programs, to support your continued academic and professional progression.
Affordable program
Tuition is 100% waived through a Department of Education grant.
Student fees are reduced to just $176.
You earn a graduate credential valued at over $7,340 — for only pay $176 out of pocket.
Streamlined application process
No GRE/Test scores required
No letters of recommendation needed
No formal interviews
Updated Oct. 1, 2026.
[1] HIStalk / Fortified Health Security:The Healthcare Cybersecurity Landscape for 2026. [2] ISC2:The Cybersecurity Talent Cliff: Navigating the 4.8 Million Professional Gap in 2026.
Updated Aug. 11, 2026.
Curriculum
Courses
Hands-On Research
Career Outlook
Admission Requirements
Contact
Curriculum
Core areas of study in our Cybersecurity for Health and Medical Data Certificate program
You will build practical, job-ready skills to protect sensitive health and medical data in real-world environments. Our Cybersecurity for Health and Medical Data certificate focuses on applied cybersecurity through the following core competencies:
Cybersecurity fundamentals: Explore modern threats, risk management, core security controls and the basics of security policy.
Health care data security: Develop a “HIPAA-aware” mindset by mastering protected health information (PHI) safeguards, secure data handling and privacy-by-design practices.
Incident response and breach management: Learn the lifecycle of a breach, including detection, triage, containment, recovery and post-incident reporting.
Digital forensics essentials: Understand evidence collection, log analysis, chain of custody and foundational investigation workflows.
Network and distributed systems security: Learn techniques for securing communication, authentication, access control and network defenses.
Vulnerability assessment and ethical hacking fundamentals:
Gain hands-on experience identifying weaknesses, prioritizing fixes and performing safe testing.
Secure data systems: Address common cloud risks, data protection strategies and secure architectures for big data and cloud foundations.
AI and analytics in cybersecurity: Gain an introduction to how machine learning and analytics support automated threat detection, monitoring and response.
Legal, ethical and professional practice: Navigate responsible disclosure, compliance considerations and cybersecurity decision-making.
Courses
Course Requirements
Total Credits: 9
Total Courses: 3
Required Course (1):
MSCA 525 – Introduction to Cybersecurity
Electives (choose two):
MSCA 550 Digital Forensics & Ethical Hacking (3 credit hours)
MSCA 560 Distributed Systems & Network Security (3 credit hours)
MSDS 740 Big Data Privacy & Security (3 credit hours)
MSDS 655 AI in Cybersecurity (3 credit hours)
MSDS 575 Ethics in Data Science (3 credit hours)
Or any other course recommended by the Faculty Advisor
Build on your classroom experience through practical, portfolio-ready projects grounded in real-world healthcare cybersecurity scenarios.
Example projects include:
Simulated HIPAA Breach Investigation: Perform end-to-end incident response, including triage, containment, recovery and reporting.
Healthcare Phishing and Credential Theft: Execute a case study involving email analysis, user awareness controls and remediation planning.
Ransomware Readiness: Develop a backup strategy, recovery playbook, and tabletop exercise for a clinic or small hospital.
Digital Forensics Mini-Lab: Conduct log analysis, timeline reconstruction, and evidence handling while maintaining a chain of custody.
Network Security Hardening: Implement segmentation, firewall rules and secure remote access for a health system.
Vulnerability Assessment: Scan a mock health care web portal, prioritize findings and create a patch verification plan.
Identity Controls for EHR Systems: Apply MFA, least privilege, and role-based access to electronic health record (EHR) systems.
Data Privacy Design: Establish de-identification approaches and risk analysis safeguards for medical datasets.
Cloud Security Baseline: Audit health care workloads for secure storage, encryption, monitoring and misconfiguration checks.
Threat Modeling for IoMT: Map the attack surface and design mitigations for the Internet of Medical Things (IoMT).
Capstone Emphasis: Each student completes an end-to-end applied project that includes technical artifacts and an executive-style briefing. This allows you to show a hiring manager your ability to translate complex technical risks into business-level solutions.
Career Outlook
The Cybersecurity for Health and Medical Data Certificate prepares learners for high-demand roles dedicated to securing health care environments and protecting sensitive medical information. Graduates gain practical skills in threat response, secure systems, privacy-focused security controls and technical communication.
Career pathways may include roles such as:
Cybersecurity Analyst: Monitor and defend healthcare networks against evolving cyber threats.
SOC Analyst: Work within a Security Operations Center to identify, prioritize and mitigate security incidents in real time.
Health IT Security Specialist: Bridge the gap between clinical operations and data protection to ensure secure patient care.
Privacy and Compliance Analyst: Ensure organizational adherence to HIPAA and other critical data-privacy regulations.
Market Demand and Growth
The need for security expertise is at an all-time high:
Explosive Job Growth: Employment for information security analysts is projected to grow 29% through 2034, significantly faster than the average for all occupations.[1]
Critical Skill Gaps: Approximately 88% of cybersecurity professionals report that a shortage of specific skills—particularly in AI and cloud security—has led to significant security consequences for their organizations.[2]
The “Privacy Crisis”: In 2025 alone, over 60 million individuals were affected by health care data breaches, underscoring the urgency for stronger cybersecurity governance in the sector.[3]
Data Sources
U.S. Bureau of Labor Statistics (BLS):Occupational Outlook Handbook, Information Security Analysts. Data reflects the 2024–2034 projection cycle, updated January 2026.
ISC2 2025 Cybersecurity Workforce Study:“The State of the 2025 Cyber Workforce: Skills Gaps, AI Opportunity and Economic Strain.” Survey of 16,000+ global professionals highlighting the impact of skill shortages on organizational security.
U.S. Department of Health and Human Services (HHS) / HIPAA Journal:December 2025 Healthcare Data Breach Report. Cumulative analysis of 2025 hacking incidents and unauthorized disclosures reported to the Office for Civil Rights (OCR).
Applicants should meet the following requirements:
Educational equivalent of at least a bachelor’s degree from a regionally accredited university in the U.S.
All students should have a working knowledge of all aspects of Microsoft Office; and should be familiar with Internet access and usage.
Grade Point Average (GPA) of 2.75 on undergraduate work with a minimum of a “B” (GPA of 3.00) in undergraduate Calculus, Elementary Statistics, or their equivalents.
If you meet one of the above requirements, you may begin the admissions process.
Application timeline
Applicants can apply to begin our programs in the Fall Semester, starting in August, or Spring Semester (starting in January). While we accept students on a rolling basis, the following dates serve as application deadlines for the semester.
Spring 2027 application deadline
Dec. 1, 2026: application deadline.
Dec. 15, 2026: All materials outlined below are due.
Spring 2027 priority application deadline
September 30, 2026: Priority deadline for application.
All materials outlined in Step 2 of the applicant process are due by October 15, 2026.
Please contact the Office of Enrollment Management about applying after these deadlines.
Each applicant must complete the following:
Step 1
Complete an application.
That application will include the following:
Personal statement: The School of Applied Computational Sciences (SACS) wants to know (1) your personal and career goals, and (2) how the graduate certificate program will contribute to the achievement of your goals via the personal statement form.
Step 2
Official transcripts: Please ask your institution to send official transcriptsdirectly to the Office of Enrollment Management. We prefer to receive an electronic transcript and the institution can email it to sacsenrollment@mmc.edu.If the institution prefers to mail transcripts, please use this address:
Office of Enrollment Management, School of Applied Computational Sciences,
Meharry Medical College,
3401 West End Avenue
Suite 260
Nashville, TN 37203
Are you interested in this program but need to improve your programming, or statistics other skills? Contact us at sacsadmissions@mmc.edu or complete the request information form to learn about courses you can take to prepare you for either program.
Admissions Contact
JeanLuc Nshimiyimana, M.Ed
Director, Enrollment Management & Professional Development sacsadmissions@mmc.edu
Program Contact
Firdous Kausar, Ph.D. Assistant Professor of Cybersecurity
Certificate in Cybersecurity for Health & Medical Data Coordinator firdous.kausar@mmc.edu View Profile
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Meharry’s mission of serving underserved communities was the ideal place for me to pursue my passion for data science and continuous learning. I plan to conduct groundbreaking research that explores the intersection of artificial intelligence, machine learning and health disparities.
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“I wanted to be a doctor because I wanted to help people however I can. Learning about data ethics made me realize you can still have a big impact on people through computer science.”
Julian Broughton
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From Meharry SACS to Novartis
My experience at Meharry SACS led to an exciting role with the Global Data Science Talent Program at Novartis, an innovative leader in science.
Kristen Oguono, MSDS ’24
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At Meharry, I have been applying advanced artificial intelligence to explore how existing drugs can be repurposed and how proteins interact with rare diseases, potentially leading to new solutions.
Bradford Patton, MSDS’24
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Life changing research
I spent a summer in the NIH R25 program collecting patient data and using Natural Language Processing to identify Social Determinants of Health among pregnant or postpartum women with substance use disorders.
Micaiah McDonald, MSBD '24
Biomedical Data Science Ph.D. student
Applying AI to cybersecurity
As a cybersecurity consultant, I have used my Meharry data science education to add machine learning and predictive analytics to security strategies.
Clarence White, Jr., Ph.D., MSDS ’24
Software Development Engineer and Cybersecurity Consultant
Applying Ph.D. coursework to detect dementia
While pursuing my doctorate, I was promoted from data manager to data scientist at the Comprehensive Center for Brain Health at the University of Miami Miller School of Medicine. I am applying my Biomedical Data Science Ph.D. courses to numerous studies involving the detection of early signs of dementia in diverse populations.