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Doctoral

Health Sciences Informatics, PhD

Johns Hopkins University School of Medicine 84 courses

About This Program

The PhD in Health Sciences Informatics offers the opportunity to participate in groundbreaking research projects in clinical informatics and data science at one of the worldโ€™s finest biomedical research institutions. In keeping with the traditions of the Johns Hopkins University and the Johns Hopkins Hospital, the PhD in Health Sciences Informatics program seeks excellence and commitment in its students to further the prevention and management of disease through the continued exploration and development of health informatics, health IT, and data science. Resources include a highly collaborative clinical faculty committed to research at the patient, provider, and system levels. The admissions process is highly selective and finely calibrated to complement the expertise of faculty mentors. Individuals wishing to prepare themselves for careers as independent researchers in health sciences informatics, with applied experience in informatics across the entire health/healthcare life cycle, should apply for admission to the PhD in Health Sciences Informatics program.

Degree Requirements

Core Courses

Complete 4 in Year 1 and 4 in Year 2

Code Course Title Credits
ME.250.957 Database Querying in Health 3
ME.250.770 Clinical Data Analysis with Python 3
PH.140.651 Methods in Biostatistics I 4
PH.140.652 Methods in Biostatistics II 4
PH.140.653 Methods in Biostatistics III 4
PH.140.654 Methods in Biostatistics IV 4
PH.140.611 Statistical Reasoning in Public Health I 3
PH.140.612 Statistical Reasoning in Public Health II 3
PH.140.621 Statistical Methods in Public Health I 4
PH.140.622 Statistical Methods in Public Health II 4
PH.140.623 Statistical Methods in Public Health III 4
PH.140.624 Statistical Methods in Public Health IV 4
PH.140.646 Essentials of Probability and Statistical Inference I: Probability 4
PH.140.647 Essentials of Probability and Statistical Inference II: Statistical Inference 4
PH.140.648 Essentials of Probability and Statistical Inference III: Theory of Modern Statistical Methods 4
PH.140.649 Essentials of Probability and Statistical Inference IV 4
PH.140.620 Advanced Data Analysis Workshop 2
PH.140.751 Advanced Methods in Biostatistics I 3
PH.140.752 Advanced Methods in Biostatistics II 4
PH.140.753 Advanced Methods in Biostatistics III 4
PH.140.754 Advanced Methods in Biostatistics IV 4
PH.140.664 Causal Inference in Medicine and Public Health I 4
PH.140.665 Causal Inference in Medicine and Public Health II 3
PH.340.751 Epidemiologic Methods 1 5
PH.340.752 Epidemiologic Methods 2 5
PH.340.753 Epidemiologic Methods 3 5
PH.340.754 MHS Culminating Experience in Analytic Epidemiology 3
PH.340.600 Stata Programming I (Basic) 2
PH.340.776 Study Design and Analysis for Causal Inference With Time-Varying Exposures 3
PH.340.725 Methods for Clinical and Translational Research 1
PH.340.728 Advanced Methods for Design and Analysis of Cohort Studies 5
PH.410.615 Research Design in the Social and Behavioral Sciences 3
EN.553.636 Introduction to Data Science 3
EN.601.675 Machine Learning 3
EN.601.682 Machine Learning: Deep Learning 4

Selective Group 2 (Clinical informatics methods)

Complete 4 in Year 2

Code Course Title Credits
ME.250.755 Natural Language Processing in the Health Sciences 3
ME.250.957 Database Querying in Health 3
ME.250.770 Clinical Data Analysis with Python 3
ME.250.783 Imaging Informatics 3
PH.140.751 Advanced Methods in Biostatistics I 3
PH.140.752 Advanced Methods in Biostatistics II 4
PH.140.753 Advanced Methods in Biostatistics III 4
PH.140.754 Advanced Methods in Biostatistics IV 4
PH.140.664 Causal Inference in Medicine and Public Health I 4
PH.140.665 Causal Inference in Medicine and Public Health II 3
ME.250.784 Clinical Decision Support (CDS) Application Interoperability 3
PH.410.615 Research Design in the Social and Behavioral Sciences 3
EN.601.475 Machine Learning 3
EN.601.482 Machine Learning: Deep Learning 4
PH.340.728 Advanced Methods for Design and Analysis of Cohort Studies 5
PH.340.776 Study Design and Analysis for Causal Inference With Time-Varying Exposures 3
PH.340.725 Methods for Clinical and Translational Research 1

Selective Group 3 (Public health informatics)

Complete 4 in Year 2

Code Course Title Credits
ME.250.782 Observational Health Research Methods on Medical Records 3
PH.309.631 Population Health Informatics 3
PH.309.620 Managed Care and Health insurance 3
PH.309.635 Population Health: Analytic Methods and Visualization Techniques 3
PH.309.716 Advanced Methods in Health Services Research: Analysis 3
PH.309.712 Assessing Health Status and Patient Outcomes 3
PH.309.616 Introduction to Methods for Health Services Research and Evaluation I 2
PH.311.615 Quality of Medical Care 3
PH.301.615 Seminar in Health Disparities 3
PH.306.655 Ethical Issues in Public Health 3
PH.306.670 Issues in LGBTQ Health Policy 3
PH.313.643 Health Economics 3
PH.318.623 Social Policy for Marginalized and Disenfranchised Populations in the U.S 3
PH.300.650 Crisis and Response in Public Health Policy and Practice 3
PH.300.715 Advanced Research and Evaluation Methods in Health Policy 4
PH.312.633 Health Management Information Systems 3
PH.305.684 Health Impact Assessment 3
PH.317.605 Methods in Quantitative Risk Assessment 4
PH.340.770 Public Health Surveillance 3
PH.340.728 Advanced Methods for Design and Analysis of Cohort Studies 5
PH.340.701 Epidemiologic Applications of Gis 2
PH.221.645 Large-scale Effectiveness Evaluations of Health Programs 4
PH.601.731 Spatial Analysis for Public Health 4

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