- Program Director, MSCPDM and MSMS
- Associate Professor
Computational Pathology and Digital Medicine
- Master
Advance the future of healthcare through data, discovery, and digital innovation.
The Master of Science in Computational Pathology and Digital Medicine (MSCPDM) at the University of Jamestown is a fully online, two-year graduate program designed to prepare students to lead in the growing fields of computational pathology, digital medicine, and biomedical data science.
Students develop the technical, analytical, and ethical foundations to apply artificial intelligence (AI), machine learning (ML), and bioinformatics to real-world clinical and research challenges—all while learning in a flexible, fully remote format. With a strong foundation in data science, digital diagnostics, and interdisciplinary collaboration, students are equipped to take on high-impact leadership roles across academic, clinical, and industry settings.
Program Goals
We aim to prepare students to:
- Lead in the growing fields of computational pathology and digital medicine.
- Build skills in translational research, algorithm development, and interdisciplinary collaboration.
- Offer applied, ethical, and scalable approaches to digital health innovation.
What’s it like to be an online MSCPDM Student at UJ?
Unlike traditional graduate programs, the Master of Science in Computational and Digital Medicine program at UJ offers an interdisciplinary and technologically advanced curriculum grounded in real-world health data, clinical applications, and innovation. Students don’t just study technology—they learn to design, analyze, and implement digital health solutions that impact patient outcomes and the future of medicine.
As a student, your classes will be fully remote, with access to coursework 24/7 online—giving you flexibility to support your personal and professional efforts.
From the virtual classroom to internships and beyond, students can expect to learn how to:
- Build, validate, and deploy AI-based machine learning models for clinical data.
- Analyze biomedical “big data” using R, Python, and other cloud-based tools.
- Understand how digital technologies and therapeutics are developed and regulated.
- Participate in internships or practicum-based learning experiences with industry partners.
- Explore ethical and legal challenges in digital health, such as AI, automation, and patient data privacy, and propose solutions.
Career Outcomes
Our program aims to produce the highest quality of AI- and digital medicine-trained graduates in the country. Our program curriculum has been designed to offer a broad and comprehensive education to prepare students for success in their career journeys.
- Artificial Intelligence (AI)-Powered and Machine Learning-based Imaging and Pathology
- AI Application Developer for Digital Health
- Biomedical Data Scientist
- Clinical Trial Data Analyst
- Computational Pathologist (in research or translational settings)
- Digital Diagnostics and Clinical Decision Support
- Genomic Informatics Analyst
- Health and Bioinformatics Leadership
- Health Informatics Specialist
- Machine Learning Engineer in Healthcare
- Precision and Personalized Medicine
- Regulatory Affairs Analyst (Digital Health Products)
- Whole Genomic Sequencing and Data Analysis
- Academia and/or academic medical centers
- Biotech and pharmaceutical companies
- Digital health startups and venture backed health-tech firms
- Genomics and precision medicine companies
- Public health agencies or other organizations focused on AI in global health
Graduates of the MSCPDM program are competitive candidates for doctoral and professional programs, including:
- PhD in Clinical Research
- PhD in Computational Biology
- PhD in Bioinformatics
- PhD in Biomedical Engineering
- PhD in Translational Medicine
- Doctor of Physical Therapy (DPT)
- MD (Doctor of Medicine) / DO (Doctor of Osteopathic Medicine)
- MD/PhD (Physician-Scientist Programs)
- DrPH (Doctor of Public Health)
Why UJ Accelerated?
- Work with real multi-scalar biomedical “big” data – including pathology reports, imaging, and genomic data – to build end-to-end data pipelines from acquisition and analysis to clinical application.
- The program uniquely addresses key and timely issues important for legal, ethical, and policy considerations specific to AI, ML, and digital therapeutics.
- The MSCPDM program emphasizes collaboration across clinical and technical teams, fostering professional communication and leadership skills in interdisciplinary environments.
Advance in an Emerging Field
Graduates of the MS in Computational Pathology and Digital Medicine are uniquely positioned at the forefront of a rapidly evolving healthcare and biomedical technology landscape.
Industry-Driven Curriculum
Capstone projects and internship and industry practicum opportunities align students directly with healthcare providers, biotech firms, and digital health startups.
Program Learning Outcomes:
Graduates of this program will be able to:
Design and implement computational pipelines for large-scale biological and clinical datasets.
Apply machine learning techniques to medical and genomic data.
Navigate legal and ethical challenges in digital health.
Collaborate with clinical and technical teams to deliver innovative healthcare solutions.
Translate complex datasets into actionable clinical insights.
Required Coursework
Year One: Foundations and Core Competencies
| Course | Title | Credits |
|---|---|---|
Introduction to Digital Medicine & Bioinformatics |
3 |
|
Biostatistics and Computational Biology |
3 |
|
Programming for Bioinformatics |
3 |
|
Fundamentals of Medicine |
3 |
|
Genomic Data Science |
3 |
|
Machine Learning for Biomedical Data |
3 |
|
Healthcare Systems and Clinical Informatics |
3 |
|
Practical Lab: Data Pipelines in Bioinformatics |
3 |
Year Two: Advanced Topics and Applied Learning
| Course | Title | Credits |
|---|---|---|
Digital Therapeutics and Personalized Medicine |
3 |
|
Big Data Analytics in Healthcare |
3 |
|
Advanced Computational Biology |
3 |
|
Ethics and Policy in Digital Health |
3 |
|
Capstone Project in Digital Medicine |
6 |
|
Internship or Industry Practicum |
3 |
Electives (Choose 2-3)
| Course | Title | Credits |
|---|---|---|
Biomedical Image Analysis |
3 |
|
Blockchain in Healthcare |
3 |
|
Telemedicine and Remote Monitoring |
3 |
|
Regulatory Affairs in Digital Health |
3 |
|
Entrepreneurship in Digital Health |
3 |
|
Cybersecurity |
3 |
The MS in Computational Pathology and Digital Medicine is accredited by the Higher Learning Commission (HLC), a regional accreditation agency recognized by the U.S. Department of Education.
We’re all about making your education affordable.
We believe every student, regardless of their financial situation, should have access to a UJ Accelerated education. In fact, 50% of our graduate students receive financial aid.