Health Sciences Informatics, PhD 

offered by John Hopkins University

Achieving a balance between theory and research, and between breadth and depth of knowledge

Creating a curriculum around student needs, background, and goals

Teaching and research excellence

Modeling professional behavior locally and nationally

Foundations of biomedical informatics: e.g., lifecycle of information systems, decision support

Information and computer science: e.g., software engineering, programming languages, design and analysis of algorithms, data structures

Research methodology: research design, epidemiology, and systems evaluation; mathematics for computer science (discrete mathematics, probability theory), mathematical statistics, applied statistics, mathematics for statistics (linear algebra, sampling theory, statistical inference theory, probability); ethnographic methods

Implementation sciences: methods from the social sciences (e.g., organizational behavior and management, evaluation, ethics, health policy, communication, cognitive learning sciences, psychology, and sociological knowledge and methods), health economics, evidence-based practice, safety, quality

Specific informatics domains: clinical informatics, public health informatics, analytics

Practical experience: experience in informatics research, experience with health information technology