DePaul University Catalog > Degree Requirements > Graduate > College of Computing and Digital Media > Predictive Analytics (MS) > Learning Outcomes

Learning Outcomes

​Program Outcomes

Students will be able to:

  • Write advanced SQL queries and stored procedures to preprocess data (using integration, cleaning and transformation) for visualization, modeling and interpretation.
  • Identify appropriate database technologies to meet a set of requirements and to recommend possible solutions.
  • Create predictive models using statistical, data mining and machine learning techniques, and evaluate and interpret such models to support fact-based decision making.
  • Work both independently and in a team to solve large data analysis projects.
  • Clearly communicate and present complex analytics results to business clients, using practical and simple business terms that can be understood by a general non-technical audience.
  • Identify and evaluate appropriate data analytics techniques to be used depending on the specific information needs of the project.
  • Use data visualization tools to communicate data mining results in an effective way.

Concentration Specific Outcomes

Marketing Concentration

Students will be able to:

  • Describe the business processes involved in marketing and customer relationship management and explain the role of analytical and predictive tools in these processes.

Computation Method Concentration

Students will be able to:

  • Implement data mining and machine learning techniques using a high-level programming.

Hospitality Concentration

Students will be able to:

  • Understand revenue management strategies and principles and develop hospitality analytics to support revenue optimization and decision making within the hospitality industry.

Health Care Concentration

Students will be able to:

  • Understand principles of health information management, including private and government based models.
  • Use analytics to inform health care strategies, policies, and clinical decisions.