德保尔大学

The program provides students with the skills and knowledge to be successful in a data science career. At the end of program, graduates have the skills to analyze large datasets and to develop modeling solutions to support decision-making, a good understanding of the fundamental principles of marketing and customer relationship management, and communication skills to present results effectively to a non-technical business audience.?

Concentrations

Computational Methods Concentration

The Computational Methods concentration addresses the increasing demand of data scientist with strong technical knowledge and skills to manage and extract information from massive amounts of data. This concentration is recommended for students who are interested in the more technical aspects of data science.

Health Care Concentration

The Health Care concentration addresses the increasing need of data scientists responsible for gathering, integrating, analyzing and presenting health care data. Students will learn analytics methods to support clinical decision systems, to improve patients’ outcomes and patients’ experience, and to improve clinical care and costs.

Hospitality Concentration

The Hospitality concentration addresses the increasing demand of data scientists that combine the skills to extract information from massive amounts of data with the competency in hospitality revenue analytics and optimization. The focus of this concentration is to teach students the analytics needs and challenges of the hospitality and tourism industry.

Marketing Concentration

Students take courses in multivariate statistics, advanced data mining and machine learning together with courses in marketing analytics and customer relationship management to gain a deep understanding of the challenges and goals of business applications.?

Learning Outcomes

Students will be able to:

• Explain how data is represented for analytic applications.
• Select and apply techniques for data preparation including normalization and reduction.
• Develop and evaluate predictive models.
• Perform an independent data science investigation, from data gathering and cleaning to application of data mining algorithms to interpretation of results.?