Data Science at Daemen College

Explore Data Science Further

Taught primarily through the Department of Mathematics, the Data Science program at Daemen College is designed to prepare you to collect, analyze, interpret and report data. You learn to use standard statistical tools and predictive techniques to identify opportunities for organization and process improvement. You’ll prepare for a career making data-informed decisions.

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Dig Deeper with Data Science

The Data Science program at Daemen College is an interdisciplinary field that incorporates mathematics modeling, computer science and statistics to teach you how to use data to creatively solve problems, uncover patterns, and gain insight into common issues.

  • Get taught by experienced Mathematics faculty skilled in statistics and computer science.
  • Hone your statistical and analytical communication skills. 
  • Prepare for future professional opportunities in technology, consulting, government, academia, finance or even gaming.

Data Science Specialties and Tools

As a Data Science major at Daemen College, you will have the option of choosing one of four specialization areas:

  • Health Promotion
  • Marketing
  • Political Science
  • Sport Management

You’ll also learn the tools and models necessary to best prepare you for your career in Data Science:

  • Machine Learning 
  • Data Mining 
  • Text Analytics
  • Coding Languages
  • Database Management

A standard curriculum is also available if you do not wish to specialize but prefer a more substantive mathematics or computer science background.

Prepare for a Data Science Career

Today’s economy continues to change and grow more competitive — creating a tremendous need for careers centered around data and data-informed decisions. The leads to a high demand for people who are able to gather, process and intelligently interpret data. And a Data Science degree from Daemen College sets you apart in a competitive job market as you’re ready to pursue careers such as:

  • Data Architect
  • Data Mining Engineer
  • Research Analyst
  • Director of Analytics
  • Business Intelligence Analyst
  • Statistician
  • Digital Marketing Director
  • Data Scientist
  • Machine Learning Engineer

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For more information, contact Admissions, at or call 716-839-8225.