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MSPPM: Data analysis

Heinz College offers a depth of analytics course work unsurpassed in political schools, and the intensive MSPPM: Data Analytics Pathway is our quantifying strict-hardest publiziene program.

Since the modern world produces massive amounts of data, large organizations, government agencies, Think tanks and consulting companies, are all looking for the brightest heads with the next generation data skills. The need is growing in public interests for professionals who can interpret and analyze raw data to improve public programs and guidelines in areas such as education, transport, energy and environment, criminal justice, sustainable development, national security and defense and health and human services.

You can increase and accept such challenges.

Our MSPMM: Data Analytics Pathway will train you to use the power of data and analytical technologies to transform organizations that serve the public quality. MSPPM-DA graduates have a really unique can be in the policy area. And are searched by employers, including the best companies and agencies in our partner network, highly searched.

In addition to the world's renowned faculty with deep know-how in Analytics, Heinz College houses several Analytics-Driven research institutes [anchored link], where they can involve in the school in groundbreaking data projects.

Location : Pittsburgh, Pennsylvania
Duration : 2 years / 4 semesters (autumn, spring, summer internship, autumn, spring)

Data Science for Social Good and Public Interest

Heinz College is a world leader in using data science for the public directive and the use of public good technology. In the political schools, we have the lowest bank of Data Scientors and Analytics experts to help them implement data in humanky solutions. In the direction of our faculty experts, our political analytical students accept complex problems, eg. B.:

  • Forecasting resource deficiency in conductive care facilities during Covid-19
  • promoting fairness and reduction of preload in criminal convictions
  • Combating the opioid crisis by helping social workers to recognize abuse
  • Improving transparency and data sharing in public tuesdays
  • Mapping of public utilities with data and technology
  • Reduce waste and fraud in the Medicare system
  • Learning to use SMS analyzes and Machine to learn KampuftwГ¤uter and Illegal Trade
  • Testability of large projects in renewable energies , such as solar arms and biogas

Match Research

MSPPM DA students gain data skills and techniques that open up new public political research and social impact opportunities. Heinz College and CMU offer many opportunities to apply these skills to innovative projects that are addressed by our faculty and sponsored by our renowned research centers.The recent research highlights include:

  • reducing bias in data and algorithms to minimize false positives in the child's welfare device
  • evaluation of Covid-19 effects on the loss of yield, mental health and housing under vulnerable populations
  • Learning Machine to optimize the routes for food to optimize delivery to seniors and children in low-income households
  • developing decision tools for gig workers who address systemic bias and promote the well-being of the worker

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