Program Overview

Introduction to the MSPH in Data Science, Global Health Concentration

The MSPH in Data Science, Global Health Concentration is a comprehensive program designed to equip students with the skills and knowledge necessary to address global health challenges through data-driven approaches. This program is tailored for individuals who wish to apply data science techniques to improve health outcomes and inform policy decisions in global health contexts.

Program Requirements

To complete the MSPH in Data Science, Global Health Concentration, students must fulfill the following requirements:

• RSPH Core Requirements:
  • BSHES 500: Behavioral and Social Sciences in Public Health
  • EH 500: Perspectives/Environmental Health
  • EPI 530: Epidemiologic Methods I
  • GH 502: Evidence-Based Policy, Programs & Research
  • HPM 500: Intro To US Health Care System
  • PUBH 500: Introduction to Public Health
  • PUBH 501: Interprofessional Education and Public Health Leadership
• Data Science Requirements:
  • DATA 515: Introduction to Data Science I
  • DATA 516: Introduction to Data Science II
  • BIOS 544 or BIOS 545: Introduction to R or R Programming
  • DATA 521: Database Development for Public Health
  • DATA 534: Applied Machine Learning
  • DATA 550: Data Science Toolkit
• Global Health Courses:
  • GH 511: Program Cycle 1: Planning and Managing Global Health Programs
  • GH 512: Program Cycle 2: Monitoring & Evaluation of Global Public Health Programs
• Electives: Students must take at least 9 credit hours of electives from an approved list, which includes courses such as:
  • BIOS 516: Introduction to Large Scale Biomedical Data Analysis
  • BIOS 530: Applied and Advanced Statistics in Observational Studies
  • BIOS 555: High Throughput Data Analysis Using R & Bioconductor
  • DATA 530: Introduction to Geographical Information Systems
  • DATA 532: Advanced Geographical Information Systems
  • DATA 556: Data Visualizations in Public Health
  • EPI 540: Epidemiologic Methods II
  • EPI 545: Advanced Epidemiologic Methods II
  • GH 501: Health Systems, Social Justice, and Equity
  • GH 509: Translation & Implementation Sciences
  • GH 531: Quantitative Methods 1: Data Collection
  • GH 556: Foundational Ethical Challenges in Global Health
  • GH 566: Immunization Programs and Policies

Program Description

The MSPH in Data Science, Global Health Concentration is a unique program that combines the principles of data science with the application of global health principles. It is designed to provide students with a comprehensive understanding of how data science can be applied to address global health challenges. The program includes a range of courses that cover data science techniques, global health principles, and the application of these techniques to real-world problems.

Career Opportunities

Graduates of the MSPH in Data Science, Global Health Concentration will be equipped with the skills and knowledge necessary to pursue a range of career opportunities in global health, including:

• Data analyst or scientist positions in global health organizations
• Research positions in academic or private sector institutions
• Policy analyst positions in government or non-governmental organizations
• Program manager positions in global health programs

Conclusion

The MSPH in Data Science, Global Health Concentration is a comprehensive program that provides students with the skills and knowledge necessary to address global health challenges through data-driven approaches. With its unique combination of data science and global health principles, this program is ideal for individuals who wish to pursue a career in global health and make a meaningful impact in improving health outcomes around the world.