DePaul's MS in Predictive Analytics courses develop both analytical skills and business acumen and prepare graduates to be leaders in the field. See the latest presentation on "Challenges and Opportunities in Data Mining: Big Data, Predictive User Modeling, and Personalization".
DePaul's MS in Predictive Analytics (MS PA) 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 to conduct advanced analyses, develop communication skills to effectively present technical results to business clients, and are able to translate client needs into analytic tasks.
The curriculum also includes working on real-world analytic problems to assist companies and organizations with data analytics needs 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. Learn more at
the DePaul/DaMPA website.
Latest MS PA News
Professor Bamshad Mobasher, DaMPA's associate director for research collaborations, was a guest speaker at the Sagence Group quarterly meeting in Chicago on April 20, 2012. Sagence has more than 50 consultants, many of whom have extensive experience in the analytics industry.
Mobasher's talk entitled
"Challenges and Opportunities in Data Mining: Big Data, Predictive User Modeling, and Personalization"
discussed areas of growth and opportunity in data mining and analytics with a particular focus on challenges presented by Big Data and the necessity of using analytics to create more intelligent and personalized user centered tools. The presentation is available for download at:
The Center continues to partner with a number of organizations on data analysis projects in varying size and scope. These opportunities have offered the MS PA students opportunities to work with real data and to gain valuable practical experience in data mining. A project with the Chicago Department of Public Health focused on the analysis of reported Legionellosis cases in Chicago in the last ten years. Results showed a positive association between risk of Legionellosis and higher precipitation levels in summer months.
Additionally, a group of students is working with the DePaul Department of Psychology to research Chronic Fatigue Syndrome (CFS), focusing on how protein relationships in blood markers vary between individuals with CFS or healthy adults. The DePaul dataset is unique in that the protein data exists in two forms, which is a new area in which CFS research has not been done.
If you are interested in working with DePaul MS PA students and the DaMPA Center, please contact
DePaul Center for Data Mining and Predictive Analytics
College of Computing and Digital Media
243 S. Wabash Ave
Chicago IL 60604
For information please contact Dr. Daniela Raicu:
Phone: 312 362-5512