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Data Analytics

The world is awash in data. Harnessing it, understanding it and using it to drive decision-making are priorities in a dizzying array of fields – marketing, public policy, community development, banking, education, social sciences, law, medicine and finance, to name a few – and in research ranging across the scientific spectrum from particle physics to astronomy, genomics to neuroscience, climate modeling to computer science.

Students who graduate with a data analytics major are thoroughly versed in the technical knowledge necessary to work with quantitative and qualitative data; they possess expertise in their field, through study and real-world problem solving; and they have ready-made networks through coursework and internships. They are prepared to launch into the professions of their choice, ready to advance policy, do ethical research and make a difference in the world.

The data analytics curriculum is a collaboration between disciplines in the Schneider School of Business & Economics and the natural sciences. It also draws on our liberal arts core curriculum to provide students with the perspective and contextual framework employers seek: Students will be well-equipped to identify puzzles, form probing questions, evaluate claims, make inferences and effectively communicate data-driven answers to real-world problems.
 
 
A Data Analytics Degree at Work
As noted, the need for data analysis pervades nearly every field. You could pursue a career as a:
  • Cryptographer
  • Biostatistician
  • Geneticist
  • Sociologist
  • Actuary
  • Survey researcher
  • Securities trader
  • Political scientist
  • Meteorologist
  • Quality engineer
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