Graduates of this program will obtain a variety of skills required for a career in predictive analytics, including the ability 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. The program aims to prepare students with the required qualifications to become "data mining analysts/engineers" or predictive modelers".

Concentrations

Computational Methods Concentration

The MS in Predictive Analytics - Computational Methods Concentration provides students with the knowledge and skills necessary to become successful professionals in the field of predictive analytics. The degree prepares students for a career as a data scientist, data miner or predictive modeler, a profession that is in high-demand and that offers many career opportunities. Graduates obtain the technical skills and the statistical and quantitative knowledge needed to manage and extract information from massive amounts of data. Students learn the newest tools and techniques to mine big data, and to help companies make sense of their data. Students gain practical experience in analytics by working on real data analysis projects sponsored by companies or as part of research projects, under the supervision of DePaul faculty. This concentration is recommended for students with programming experience.

Hospitality Concentration

The hospitality concentration addresses the increasing demand of data scientists that combine the computational 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

The MS in Predictive Analytics - Marketing Concentration provides students with the quantitative knowledge and analytical skills necessary to become successful professionals in the field of predictive analytics. 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. The program teaches students the analytic skills that are needed to extract information from large amounts of data, to develop modeling solutions to support business decision making, and to present results effectively to a non-technical business audience. Students gain practical experience in analytics by working on real data analysis projects sponsored by companies or as part of research projects under the supervision of DePaul faculty. The degree prepares students for a career as a data scientist, data miner or predictive modeler.