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 unique program architecture aims to produce well-rounded graduates with strong professional, disciplinary and technical skills.
|Research and Infrastructure|
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: Affinity Solutions, AppCard, Apple, Bank of America, Collaborative Consulting, Genesis Research, Jefferies, Morgan Stanley, Price-Waterhouse Coopers, San Disk, TIAA-CREF and Verizon Wireless.
Hadoop and Big Data Technology. The 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. 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.
- Five Trends in Big Data Analytics
- Stevens BI&A: Head start on Big Data studies
- Student projects: April Advisory Board meeting
- Four three-day weekends of training on SAS, R, SQL, Python and Hadoop
- Deutsche Bank Market Research selected professor Creamer's working paper
- BI&A Professor, Mahmoud Daneshmand helps found new IEEE Journal on “The Internet of Things”