DePaul MS in Predictive Analytics

On-campus or online, DePaul MS in Predictive Analytics graduates develop both analytical skills and business acumen, with a choice of 4 concentrations: Marketing, Computational Methods, Hospitality, and Health Care.

DePaul University
DePaul's MS in Predictive Analytics
graduates develop both analytical skills and business acumen through taking courses in analytics, data mining and marketing. The MS PA prepares professionals to be leaders in the analytics field. Students learn the technical skills necessary to conduct advanced analyses, develop communication skills to effectively present technical results to business clients, and translate client needs into analytic tasks.

The curriculum includes working on real-world analytic problems to assist companies and organizations that partner with the DePaul Data Mining and Predictive Analytics center (DaMPA). Students can complete the degree entirely online, allowing out-of-state students access to the same course content and faculty expertise as on-campus students.

DaMPA Students are able to choose between four concentrations:

Marketing concentration is designed for students who want to combine strong technical skills in analytics with competency in marketing analytics and customer relationship management. Students learn how to extract information from data to support business decision-making and marketing decisions.

Computational Methods concentration is designed for students who want to develop strong technical and programming skills for big data analytics. Students will be trained to handle and aggregate massive amounts of data and to use appropriate modeling and data mining techniques to extract information from complex data sources.

New Hospitality concentration, starting this fall, will address the increasing demand of data scientists that combine computational skills to extract information from massive amounts of data with 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.

New Health Care Analytics concentration, starting in the 2014 winter quarter, will address the critical need for data scientists that understand the complexity of health care data management and integration and can develop meaningful analytics to support providers and organizations to improve patient outcomes, healthcare quality and value.

Program learning outcomes:

  • Develop analytical skills to be applied to data in the following health care contexts:
    • Patient experience/satisfaction/outcomes
    • Health care data integration and warehousing
    • Managerial and marketing epidemiology
    • Health care claim management and cost reduction
    • Retail pharmacy management with links to patient care
    • Predictive modeling of care, costs and utilization
    • Clinical process management and improvement through insights from data analysis
  • Understand health care management, including private and government based models
  • Ability to make evidence-based business decisions designed to improve health care strategies.

The Health-Care Analytics Concentration will be introduced at a symposium titled "Patients, Data, and Policy: Dealing with Health Care's Challenges", to be held on Friday, September 27th, 2013. Presenters include representatives from IBM, Rush University Medical Center, The Beryl Institute, Press Ganey Inc., Presence Health, and Advocate Home Health.

For more information about the MS in Predictive Analytics program and admission process, visit