2019-2020 Catalog 
    
    Dec 14, 2019  
2019-2020 Catalog

Data Science


Sequence Requirements


The sequence in data science requires 6 courses, distributed as follows:

Learning Goals and Student Learning Outcomes of the Data Science Program


Learning Goals


The Data Science sequence presents students with the opportunity to:

  1. Analyze data from a variety of disciplines and present its inherent features.
  2. Predict outcomes of data processes or generate forecasts.
  3. Work with computer programs, statistical packages, and data management programs.
  4. Devise methodologies to turn data information into valuable insights.

Student Learning Outcomes


Students who complete the sequence will be able to:

  1. Analyze data and present its inherent features.
  2. Have a working knowledge of advanced data analysis using a variety of platforms.
  3. Work with commonly used statistical packages and programming languages (for example R, STATA, SPSS, Python, SQL) used in research, government, nonprofit organizations, and industry.
  4. Make informed predictions, test theories, and evaluate policies.
  5. Communicate the results of such analyses to all stakeholders.