Master's in Computational Pathology and Digital Medicine

Computational Pathology and Digital Medicine is a Masters program taught at University of Jamestown, USA. The program is offered in campus-based modes with full-time (two-year) options.

The Master of Science in Computational Pathology and Digital Medicine (MSCPDM) at the University of Jamestown is a fully online, two-year graduate program. Students apply artificial intelligence (AI), machine learning (ML), and bioinformatics to real-world clinical and research challenges, building technical, analytical, and ethical foundations for computational pathology, digital medicine, and biomedical data science.

Classes are fully remote, with access to coursework 24/7 online. Students work with real biomedical “big” data, including pathology reports, imaging, and genomic data, and learn to build, validate, and deploy AI-based machine learning models for clinical data. Learning also includes analyzing biomedical “big data” using R, Python, and other cloud-based tools, plus internships or practicum-based learning experiences with industry partners. The program includes capstone projects aligned with industry practicum opportunities.

The minimum requirements for admission in Computational Pathology and Digital Medicine at University of Jamestown for all applicants (Domestic or International) are:

• program specific academic requirment set by University of Jamestown.
• English Language OR any other language requirments as set by University of Jamestown as pre-requiste for admission in Computational Pathology and Digital Medicine.

Note: Please check the university website in the link below.

• Have successfully completed the pre-requisite courses and a bachelor’s degree from a degree-granting institution of higher education.
• Submit transcripts, a personal statement, and CV/resume.
• Complete two essays.
• Submit 3 letters of recommendation (see application portal for additional details).

Please check detail of study units at https://www.uj.edu/academics/programs/computational-pathology-and-digital-medicine/

• 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

80 fully funded scholarships are listed for USA. See USA scholarships.