inline-defaultCreated with Sketch.
inline-defaultCreated with Sketch.
For StudentsUniversitiesProgramsAmbassadors
Our Story
Educatly AI
Efficient Chatbot for Seamless Study Abroad Support
Try Now
inline-defaultCreated with Sketch.

This website uses cookies to ensure you get the best experience on our website.

Cookie Policy
Students
Masters

Master’s in Public Health (MPH) & MS in Applied Math & Data Science

Adelphi University
New York , United States
Easy Apply
Students
Tuition Fee
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Program Facts
About Program
About University
Admission Requirements
Ambassadors
Gallery
Easy Apply
Program Facts
Program Details
Degree
Masters
Major
Public Health
Discipline
Medicine & Health | Science
Minor
Data Science | Biostatistics | Health Policy Analysis and Public Health | Public Health Education and Promotion
Course Language
English
About Program

Program Overview

This dual MPH and MS in Applied Math & Data Science program equips graduates to tackle public health challenges using data science. It combines training in public health, data analysis, machine learning, and ethics, preparing students for careers as epidemiologists, data analysts, and public health consultants. The program is STEM-designated and CEPH-accredited, ensuring quality and eligibility for federal financial aid.

Program Outline

Dual Master's in Public Health (MPH) & MS in Applied Math & Data Science:

Degree Overview:

This dual degree program prepares graduates to use data science to solve public health challenges. Graduates will be able to:

  • Generate data-driven, evidence-based solutions to public health problems.
  • Promote health equity and address disparities among underserved populations.
  • Mitigate the impact of epidemics and natural disasters.
    • The program is designed for students with a background in mathematics, applied mathematics, statistics, or closely related fields. It combines training in public health, data science, economics, and public policy.

Outline:

The program consists of 184 hours of practicum experience at a public health or epidemiology-related agency. Students also complete coursework in the following areas:

  • Public health foundations
  • Epidemiology
  • Biostatistics
  • Health policy and management
  • Data analysis and visualization
  • Machine learning
  • Artificial intelligence
  • Ethics and responsible use of data
    • The program culminates in a capstone project, where students apply their knowledge and skills to a real-world public health problem.

Assessment:

Students are assessed through a variety of methods, including:

  • Exams
  • Quizzes
  • Assignments
  • Presentations
  • Practicum experience
  • Capstone project

Teaching:

The program is taught by a team of experienced faculty with expertise in public health, data science, and related fields. The program uses a variety of teaching methods, including:

  • Lectures
  • Seminars
  • Case studies
  • Group projects
  • Hands-on experience

Careers:

Graduates of the program are prepared for a variety of careers in public health, data science, and related fields. Some potential career paths include:

  • Epidemiologist
  • Data analyst
  • Data scientist
  • Biostatistician
  • Researcher
  • Public health consultant

Other:

The program is STEM-designated, which means that graduates are eligible for certain types of federal financial aid. The program is also accredited by the Council on Education for Public Health (CEPH).

SHOW MORE