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Program Goals

Learning Goals and Outcomes

Learning Goal 1: To use analytic methods and information systems tools and technologies to drive effective and data-driven solutions to business problems and decisions.

  • Learning Outcome 1.1: Students should be able to perform data analysis using various analytical techniques, interpret results to solve business problems and make informed business decisions.
  • Learning Outcome 1.2: Students should be able to use data management tools and technologies to improve organizational support of data-driven solutions to business problems and decisions.
  • Learning Outcome 1.3: Students should be able to formulate problems and develop data-driven solutions to business problems and decisions using information systems and analytics tools and technologies.
  • Learning Outcome 1.4: Students should be able to identify, formulate, and solve optimization problems, and perform sensitivity analysis and simulation to examine alternative scenarios.

Learning Goal 2: To effectively communicate the results of analytic solutions to business problems and decisions.

  • Learning Outcome 2.1: Students should be able to effectively convey, through oral and written communication, the results of analytical solutions to business problems and decisions.
  • Learning Outcome 2.2: Students should be able to perform exploratory analysis and design effective reports, visualizations, and dashboards.
  • Learning Outcome 2.3: Students should be able to apply data visualization best practices.

Learning Goal 3: To use analytics tools and technologies for effective functional business decision making.

  • Learning Outcome 3.1: Students should be able to utilize accounting analytics methods and technologies for financial and managerial accounting problem solving and decision making.
  • Learning Outcome 3.2: Students should be able to use financial analytics tools and techniques in business decision making.
  • Learning Outcome 3.3: Students should be able to apply marketing analytics tools and