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Data Science

Create better solutions

Data provides the concrete evidence that allows businesses grow, research, streamline resources, and identify the metrics that measure their success. Data scientists and analysts use their knowledge of programming, math and statistics to organize and interpret large data sets to answer the real-world questions every business and organization has.

School of Science, Technology, Engineering and Math

Programs of Study

Data Science

Associate of Science (MAS1011)

The Data Science associate degree provides students with a foundation in data analysis. Students will model, synthesize, and present large data sets for business decision-making. This program prepares students for entry-level jobs, or to help them advance into careers.

Courses focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering. Topics covered include statistics, research methods, SQL queries, systems analysis, design, and applied predictive analytics.

Data Analytics

Certificate (MCE1009)

The Data Analytics certificate provides students with a foundation in data analysis. Courses focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering.

Certificate courses follow the same path as the Data Science associate degree, without the need to fulfill general education requirements.

More Ways to Learn

Why study data science?

Studying data science means you're prepared to identify and find solutions to the real-world problems that affect businesses and organizations at every level. In a data-driven, online world, this broad area of study helps you learn statistics, mathematics, computer programming and database management. Data scientists, as information technology professionals, have competitive salaries, flexible job options, and significant job security.

What You'll Learn

  • How to identify, extract, clean and maintain data in databases.
  • How to interpret and evaluate data trends or patterns in complex data sets using statistical techniques, analytic methods, and tools.
  • How to create and monitor reports to preserve data quality, identify critical issues, trends, and potential solutions.

Career Options

  • Operation Data Analyst
  • Business Analytics Specialist
  • System Data Analyst
  • Statistician
  • Data Visualization Developer
  • Test Data Analyst
  • Market Research Analyst
  • Business Intelligence (BI) Engineer or Architect