8 Institutions Bringing Value to BI Education
With software and backing from IBM, the New York City Jesuit institution recently opened its Center for Digital Transformation, a lab for scholars, educators and business leaders to tinker with data solutions and sets. In conjunction, Fordham presented its new masters degrees for business analytics and marketing intelligence, both of which feature mandatory data and business coursework.
The prominent Ivy League institution expanded into Web and predictive analytics this school year. In part inspired by interest in the topics from Hollywoods treatment of Moneyball, celebrated instructor and author Ed Kaplan leads courses on sports analytics and other real-life applications at Yales Graduate School of Management.
The U. of Washingtons professional and continuing education programs include a slew of rotating and overlapping coursework on building data warehouses, cloud computing, and e-discovery, among others. Click here to read a blog on one of the universitys faculty, senior lecturer and data management author Bob Boiko.
Among Northwesterns graduate data degrees is its M.S. in Predictive Analytics program. Leadership and management courses are married with those focused on advanced data analysis, predictive modeling, computer-based data mining and a range of analytical learning.
DePaul, based in Chicago, is just over a year into its new M.S. in Predictive Analytics degree as well as the opening of its new Center for Predictive Analytics and Data Mining. Steve Miller, BI analyst and Information Management blogger, wrote that the program shows promise in its practical-academic compromise approach to the business behind information.
At its McCombs School of Business, students in the Information, Risk and Operations Management department can take on a diverse set of majors such as supply chain management and engineering route to business. Longhorns also engage in regular in-depth, data-based research with vendors like Sybase.
Although its not a tech powerhouse, the Milwaukee, Wisconsin-university is taking tips from the business side of data by increasing offerings that combine real-life expertise with practical data skill sets. Professors in information management are connecting with others in financial, marketing and managerial studies, and have expanded internships and networking events with possible employers.
With possibly the largest student population for IT studies, A.S.U. continues to develop BI education through its business programs Center for Advancing Business through IT (CABIT) and in recent events on electronic health care information and data privacy and governance. The CABIT has a stated mission of producing emergent research on data, developing connections with regional experts and establishing guidelines on new data tools.
As the business intelligence market trends upward from interest in analytics, big data and the cloud, secondary education has been often slow to meet the challenge in educating its student body. Here are eight prominent U.S. colleges and universities that are making strides today toward preparing the next generation of knowledge workers.
Click here for our LinkedIn discussion and share your observations on what schools are doing to better prepare students for actual work in the data industry and what you think theyre missing.
Hadoop as a Service: 18 Cloud Options
10 Big Data Software Requirements
15 Chief Data Officer Job Requirements
17 BI & Analytics Requirements: Gartner Magic Quadrant
Big Data: 14 Requirements for Real-Time Analytics
10 Chief Data Officer (CDO) Career Trends
Inside a Big Data Headquarters
10 Phrases That Kill Big Data Projects