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Public Health Data Analytics Concentration

The Public Health Data Analytics concentration in the Master of Public Health (MPH) program prepares students to harness innovative and advanced analytical tools and data science techniques to address pressing public health issues. By bridging foundational public health knowledge with cutting-edge data science methodologies, students gain advanced analytical skills using modern methodologies, such as AI, Machine learning, and GIS (Geographic Information System) to manage and analyze big population datasets. Through didactic and practical experience, students will gain hands-on experience to implement data analytical skills on a variety of large and complex public health datasets and learn how to thoughtfully interpret results. Courses in this concentration address a wide variety of topics, such as rigorous public health data modeling methodologies, epidemiological data analysis with R and Python programming, and machine learning and geo-informatics methods and applications in public health. Students can also take advantage of several AI educational and practical opportunities at the Icahn School of Medicine at Mount Sinai (https://icahn.mssm.edu/about/artificial-intelligencearrow-up-right ).

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Public Health Data Analytics Concentration Competencies

  1. Apply quantitative, logical, or computational skills using R or Python in public health research.

  2. Translate public health questions into spatial and/or statistical hypotheses.

  3. Construct and manage public health datasets for spatial and/or longitudinal studies using statistical software.

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Public Health Data Analytics Concentration Requirements

Course Number and Title
Credits

Curriculum

In addition to the General Public Health concentration, which gives students a solid foundation in the five core areas of public health (biostatistics, epidemiology, environmental health, health policy & management, and socio-behavioral health) the Graduate Program in Public Health provides students with an opportunity to specialize in a specific public health concentration. Students are required to take the courses listed for the Specialty Concentration they choose to pursue. The credits accrued from required courses vary for each concentration. In total, students must complete 45 credits to be eligible to earn the Master of Public Health.

The Specialty Tracks are:

  • General Public Health

  • Global Health

  • Epidemiology & Biostatistics

  • Public Health Data Analytics

MPH Requirements for all Concentrations

Course Number and Title
Credits

Global Health Concentration

The Global Health concentration in the Master of Public Health (MPH) program is designed for students interested in understanding complex global health issues. This Concentration prepares students to address pressing health challenges across diverse populations and settings worldwide. Through theoretical and hands-on experience, you will gain the needed skills to work in a wide variety of settings with diverse populations, and bring practical solutions to major public health problems of underserved and neglected populations worldwide.

Courses in this concentration address a wide variety of global health priorities such as planetary health, maternal and child health, and climate impacts on global health. Students can also take advantage of the Arnhold Institute for Global Healtharrow-up-right, which offers public health and research programs around the globe.

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Global Health Concentration Competencies

  1. Explain the global context in which public health problems occur including the social, political, economic, and environmental forces that underly them.

  2. Describe the roles or relationships of the systems and entities that influence global Health and/or Planetary health.

  3. Identify the leadership or management skills needed to effectively participate or lead local, national, or global health organizations.

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Global Health Concentration Requirements

Course Number and Title
Credits
Develop analysis strategies tailored to public-health data characteristics and assumptions using traditional or AI-based methods.
  • Effectively analyze, interpret, and communicate complex public health data to public health audiences.

  • MPH 5000 (Formerly MPH 0602) Introduction to Public Health Data Modeling

    2

    MPH 5001 (Formerly MPH 0413) Introduction to Epidemiology Data Analysis with R and Python

    3

    MPH 5002 (Formerly MPH 0601) Introduction to Geoinformatics in Public Health

    3

    MPH 5003 (Formerly MPH 0603) Machine Learning in Public Health

    3

    Students must choose an additional 11 elective credits in consultation with the Concentration Director

    variable

    MPH 1005 (Formerly MPH 0500) Introduction to Environmental Health

    3

    MPH 9000 (Formerly MPH 0092) Applied Practice Experience

    3

    MPH 9001 (Formerly MPH 0023) Culminating Experience Seminar

    1

    MPH 9002 (Formerly MPH 0097) Culminating Experience

    3

    MPH 1000 (Formerly MPH 0100) Introduction to Policy & Management

    3

    MPH 1001 (Formerly MPH 0201) Introduction to Socio-Behavioral Health

    3

    MPH 1002 (Formerly MPH 0300) Introduction to Biostatistics

    3

    MPH 1003 (Formerly MPH 0320) Research Methods

    1

    MPH 1004 (Formerly MPH 0400) Introduction to Epidemiology

    3

    Apply analytical skills to assess climate change impacts on global health
  • Integrate ethical, cultural, and environmental considerations in addressing global and planetary health challenges

  • MPH 3000 (Formerly MPH 0700) Introduction to Global Health

    1

    MPH 3001 (Formerly MPH 0722) Planetary Health

    3

    MPH 3002 (Formerly MPH 0721) Climate Change, Atmospheric Environment and Global Health

    3

    MPH 3003 (Formerly MPH 0717) Global Reproductive, Maternal and Child Health

    3

    Students must choose an additional 12 elective credits in consultation with the Concentration Director

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    General Public Health Concentration

    The General Public Health concentration in the Master of Public Health (MPH) program offers broad and interdisciplinary training across core public health disciplines such as public health policy and management, epidemiology, biostatistics, and global health and prepares students to investigate and act on the root causes of health and disease in communities by examining how social systems, environmental exposures, and infrastructure shape public health outcomes.

    Through public health program planning, implementation science, and community-based research and learning, students gain tools to transform public health systems and improve the health of communities at the local, national, and global levels.

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    General Public Health Concentration Competencies

    1. Examine and characterize how environmental and system conditions influence patterns of health and disease across populations.

    2. Design public health programs and policies within a socio-ecological framework, including plans for implementation, evaluation and improvement.

    3. Use established theories and models of health behavior to inform the design and implementation of public health programs.

    4. Identify and evaluate environmental exposures and their impact on human health using appropriate epidemiologic and biostatistical methods.

    5. Inform the development of policies and practices that mitigate health risks and promote health in populations.

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    General Public Health Concentration Requirements

    Course Number and Title
    Credits

    Epidemiology & Biostatistics Concentration

    The Epidemiology & Biostatistics concentration in the Master of Public Health (MPH) program prepares students to investigate and address complex public health issues using rigorous epidemiologic and biostatistical methods. Through integration of foundational public health knowledge with epidemiologic research training, students obtain advanced theoretical and practical skills in designing epidemiology studies and collecting, analyzing, and interpreting public health data. Students build a strong foundation in traditional and modern epidemiologic study designs, rigorous data collection and analysis methodologies and advanced statistical modeling tools, and gain expertise in conducting valid and reproducible epidemiological studies. Students can also take advantage based on their career interests of several state-of-the-art epidemiology research and data analysis initiatives led by the Department of Public Healtharrow-up-right, Center of Biostatisticsarrow-up-right, Department of Environmental Medicinearrow-up-right, and AI programsarrow-up-right, among other opportunities and resources offered at Icahn School of Medicine at Mount Sinai.

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    Epidemiology & Biostatistics Concentration Competencies

    1. Develop capacity to complete in-depth epidemiological analyses using statistical software.

    2. Critically synthesize the public health research or practice literature for a selected health topic.

    3. Distinguish between a statistical association and a causal relationship using appropriate principles of causal inference.

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    Epidemiology & Biostatistics Concentration Requirements

    Course Number and Title
    Credits

    MPH 4000 (Formerly MPH 0014) Program Planning

    3

    MPH 4001 (Formerly MPH 0216) Health Promotion Strategies

    3

    MPH 4002 (Formerly MPH 0419) Environmental & Occupational Epidemiology

    3

    MPH 4003 (Formerly MPH 0020) Implementation Science

    2

    Students must choose an additional 11 elective credits in consultation with the Concentration Director

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    Identify circumstances under which non-randomized (observational) designs are the best approach to addressing important health-related knowledge gaps.
  • Use tabular or graphical methods to explain model results.

  • MPH 2000 (Formerly MPH 0412) Epidemiology II

    3

    MPH 2001 (Formerly MPH 0420) Epidemiology III

    3

    MPH 2002 (Formerly MPH 0812) Applied Linear Models I

    3

    MPH 2003 (Formerly MPH 0822) Applied Linear Models II

    3

    Students must choose an additional 9 elective credits in consultation with the Concentration Director

    variable