Computing and University Education in Analytics. ACM Education Council San Francisco, CA November 2, 2013 Heikki Topi, Bentley University. McKinsey Global Institute Report.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
ACM Education Council
San Francisco, CA
November 2, 2013
Heikki Topi, Bentley University
High level of hype but also useful recognition of an area (yet another) that fundamentally depends on computing
Watson, H. (2013) The Business Case for Analytics. BizEdMagazine, July.
Data scientists “understand analytics, but they also are well versed in IT, often having advanced degrees in computer science, computational physics, or biology- or network-oriented social sciences.”
“Their upgraded data management skills set – including programming, mathematical and statistical skills, as well as business acumen and the ability to communicate effectively with decision-makers – goes well beyond what was necessary for data analysts in the past”
Source: http Trivial://www.informationweek.com/big-data/slideshows/big-data-analytics/big-data-analytics-masters-degrees-20/240145673
Bentley University, McCallum Graduate School of Business: Master of Science in Business Analytics
CMU, Heinz College of Public Policy and Information Systems: Master of Information Systems Management with a concentration in Business Intelligence and Data Analytics
Columbia University, The Fu Foundation School of Engineering and Applied Science: Master of Science in Computer Science, concentration in Machine Learning
DePaul University, College of Computing and Digital Media: Master of Science in Predictive Analytics
Drexel University, LeBow College of Business: Master of Science in Business Analytics
Harvard University, School of Engineering and Applied Sciences: Master of Science in Computational Science and Engineering
Louisiana State University, Ourso College of Business: Master of Science in Analytics
NYU, Stern School of Business: MBA, specialization in Business Analytics
Stanford University, School of Engineering (CS): Master of Science in Computer Science, Specialization in Information Management and Analytics
UC Berkeley, College of Engineering (EE and CS): Master of Engineering, concentration in Data Science and Systems
University of Illinois at Urbana-Champaign, Graduate College, Department of Statistics: Master of Science in Statistics, Analytics concentration
University of Ottawa, Telfer School of Management, School of IT and Engineering and Faculty of Law: Master in Electronic Business Technologies
Intensive competition for control over degree programs
Domain expertise (e.g., various medical fields, marketing, manufacturing control, extraction of natural resources, finance, utilities, scientific disciplines)
Are we capable of collaborating with all necessary disciplines?
How do we manage a number of competing relationships and offer truly integrated degrees?
How do we determine which discipline(s) take the leadership role in integrated programs?
Computing for the 1.5 million “data-savvy managers”? (MGI)
How do we manage the competition for talented students?
What is our role in analytics curriculum development?
Yet another reason to push for more and more advanced computing for everybody?