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Graduate Certificate

Infectious Disease Dynamics, Analytics, and Modeling, Certificate

Johns Hopkins University Bloomberg School of Public Health 68 courses

About This Program

This certificate program will provide students from diverse academic backgrounds with the skills to use mathematical and statistical modeling techniques to quantify and predict the spread of infectious diseases. Students in the Certificate in Infectious Disease Dynamics, Analytics, and Modeling will take coursework covering i) the foundational epidemiological principles of infectious diseases, ii) advanced mathematical, statistical, and computational techniques relevant to analyzing infectious disease data, and iii) a specialized course on applied infectious disease modeling. They will be able to calculate metrics describing disease transmission, create mechanistic models of disease transmission, clinical progression, and control, use statistical methods to estimate model parameters and forecast disease dynamics, critically evaluate disease models in the scientific literature, and communicate model results to diverse stakeholders. Contact information and complete certificate program admissions information are available on the certificate program page on the Bloomberg School of Public Health website.

Degree Requirements

COURSE OF STUDY

COURSE OF STUDY

Basic Epidemiological Methods: Students must select 1 of the following courses

COURSE OF STUDY

Infectious Disease Epidemiology: Students must take 1 of the following courses

COURSE OF STUDY

Infectious Disease Modeling: Students must take 1 of the following courses

COURSE OF STUDY

Specialized Topics in Data Analytics and Modeling: Students must take at least 2 half semester courses (6 term credits) from this list

Code Course Title Credits
PH.340.609 Concepts and Methods in Infectious Disease Epidemiology 4
PH.140.628 Data Science for Public Health in Python 4
PH.140.629 AI for Public Health in Python 4
EN.553.636 Introduction to Data Science 3
EN.601.675 Machine Learning 3
EN.601.682 Machine Learning: Deep Learning 4
EN.601.788 Machine Learning for Healthcare 3
EN.553.740 Machine Learning I 3
EN.553.741 Machine Learning II 3
EN.560.617 Deep Learning for Physical Systems 3
PH.140.644 Statistical Machine Learning: Methods, Theory, and Applications 4
AS.171.749 Machine Learning for Physicists 3
PH.221.660 Systems Science in Public Health: Basic Modeling and Simulation Methods 3
PH.380.603 Demographic Methods for Public Health 4
PH.380.755 Population Dynamics and Public Health 2
EN.560.653 An Introduction to Network Modeling 4
EN.553.692 Mathematical Biology 3
EN.580.680 Precision Care Medicine 4
EN.580.640 Systems Pharmacology and Personalized Medicine 4
EN.553.650 Computational Molecular Medicine 4
EN.540.633 Pharmacokinetics and Pharmacodynamics 3
AS.020.674 Quantitative Biology and Biophysics 4
EN.553.691 Dynamical Systems 4
EN.560.657 System Dynamics 3
EN.520.621 Introduction To Nonlinear Systems 3
EN.553.736 System Identification and Likelihood Methods 2
EN.553.633 Monte Carlo Methods 4
EN.553.626 Introduction to Stochastic Processes 4
EN.553.632 Bayesian Statistics 3
PH.140.762 Bayesian Methods I 3
PH.140.773 Foundations of Statistical Inference I 4
PH.140.777 Statistical Programming Paradigms and Workflows 3
PH.140.779 Advanced Statistical Computing 4

COURSE OF STUDY

Specialized Topics in Infectious Disease Epidemiology: Students must take at least 2 half semester courses (or at least 6 term credits) from this list

Click a course code or title to read the full course description.

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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