Master of Science in Business Intelligence & Analytics

The Masters of Science in Business Intelligence and Analytics (BI&A) is a unique 36-credit STEM program designed for individuals who are interested in applying analytical techniques to derive insights and predictive intelligence from vast quantities of data. Graduates will have the skills to increase operational efficiency, improve financial performance and influence the strategic directions of organizations in the highly competitive world of “Big Data.” The curriculum is a carefully articulated mix of courses on data, social networks, web analytics, statistics, optimization and risk management. The focus is on industry-specific applications in areas such as marketing, finance, pharmaceuticals, underwriting, manufacturing, information technology, telecommunications, energy and engineering. A broad range of activities associated with the program aim to produce well-rounded graduates with strong professional, disciplinary and technical skills.

         
The BI&A Program – Vision and Architecture

Another Enrollment Milestone Reached. In Spring 2014, the BI&A program has more than 60 students from all over the world enrolled in our MS degree program and an additional 15 students enrolled in our graduate certificate or taking courses on a non-matric basis. 

Placement. Our first group of graduates accepted jobs in the following companies: Apple, Bank of America, Genesis Research, Jefferies, Morgan Stanley, Price-Waterhouse Coopers, San Disk, and TIAA-CREF.

Database and Business Intelligence Technology. Stevens is a member of the  IBM Academic Initiative, a partnership that provides faculty and student access and training on a variety of IBM products.

Hadoop and Big Data TechnologyThe BI&A program has become a member of Cloudera’s Academic Partnership, which provides faculty and student access and training on Apache Hadoop, one of the essential tools for working with huge sets of data.

Hadoop Cluster Initiated . To support our educational and research programs, a Hadoop cluster, initially consisting of 14 nodes, but with the potential to grow to over 100 nodes, has been initiated in the Hanlon Financial Services lab.

 

Professional Skills

Small talks about Big Data
BIA-CLUB
Small talks about Big Data

Technical Skills

Small talks about Big Data
Small talks about Big Data
Small talks about Big Data

Research and Infrastructure

Small talks about Big Data
Small talks about Big Data
Small talks about Big Data
Big data

Excerpt from: "Big Data: The next frontier for innovation, competition, and productivity.”

McKinsey Global Institute (2011)