Master of Public Health (MPH)

Public Health Data Science MPH

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Use advanced data science techniques to improve the way public health is practiced around the globe.

This innovative new Public Health Data Science MPH program — one of only a handful such programs in the U.S. — equips students with the comprehensive skills required to help design, understand, implement, and analyze public health initiatives and campaigns.

The program is designed for individuals with a strong interest in advancing public health who would like specialized training in computational and statistical methods that will allow them to extract meaningful insights from complex data to tackle a wide variety of public health challenges.

The Public Health Data Science MPH program is housed in the School of Public Health Division of Biostatistics, a division whose faculty and staff consistently deliver the highest ranked programs in the nation.

Advantages of the Public Health Data Science MPH

  • High Ranking: The UMN School of Public Health is ranked among the top 10 schools in the nation and our biostatistics program is ranked #7 in the U.S. (U.S. News & World Report). A degree in this program provides our graduates distinction in competitive career environments.
  • Impact: The SPH Division of Biostatistics plays a leadership role in many national and international clinical trials, including COVID-19 trials, the first vaccine trial for Ebola, and the largest HIV/AIDS treatment trial in history. Our students have the opportunity to learn from and work alongside some of the most prominent biostatisticians in the world.
  • Breadth: Interdisciplinary research includes collaborations across the University of Minnesota with the Medical School, College of Veterinary Medicine, the Carlson School of Management, the Humphrey Institute for Public Affairs, the Supercomputing Institute, and Minnesota Population Center.
  • Personal attention and opportunities: The master’s student to faculty ratio is approximately 1:1 and students have access to a wide variety of teaching and research assistantship experiences.

Application Deadline

Final Deadline: April 1
Scholarship Deadline: December 1

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