EAST LANSING — Michigan State University today announced a new master’s degree program in business analytics to help prepare students for the jobs of the future. IBM (NYSE: IBM) is assisting the program with its analytics software and support for experiential projects where students will apply analytics to real-world business problems. The degree includes coursework in the Broad College of Business and the Colleges of Engineering and Natural Science. Further, as part of the university’s mission to enhance analytic thinking among all students, plans are underway for undergraduates in the Broad College to participate in the first-ever IBM Watson case study curriculum.
The new collaboration between IBM and MSU is part of an ongoing effort to expand and strengthen student skills and understanding of big data and analytics in order to meet the growing demand for highly skilled analytics workers. IBM has begun hosting Watson case competitions and has established project focused classes with universities. IBM has also recently completed the first-ever Watson internship program during which students experimented with new ways the Watson system could be applied to societal challenges.
“Recognizing that a practical understanding of analytics is key for 21st century jobs and firm competitive success, we wanted to be among a group of universities that is truly at the forefront in developing a top-notch curriculum in this area that will launch our graduates into successful careers. These new programs come as a response to demand for students with a greater depth of knowledge in the area of analytics and cognitive computing. Therefore, establishing partnerships with the business community is a priority for the Broad College of Business,” explains Stefanie Lenway, Eli and Edythe L. Broad Dean of the Broad College. “Our collaboration with IBM creates opportunities for our students to apply what they learn in the classroom to solve significant business problems and to prepare themselves to hit the ground running when they begin their careers.”
The new program addresses a growing need in the marketplace for analytically savvy business leaders, giving graduates a distinct competitive advantage in the job market. According to the McKinsey Global Institute an estimated shortage of 1.5 million managers and analysts with the expertise to use analysis to make effective decisions is expected by 2018 within the US alone.
Since its historic victory on Jeopardy! last year, IBM Watson ushered in a new era of computing called cognitive systems. This entirely new class of analytical systems are set to transform business decision-making by providing recommendations and actionable insights. By culling through vast amounts of big data, cognitive systems like Watson will help us learn how the world really works and make sense of its complexities. With a combination of natural language processing, hypothesis generation and evaluation, and evidence based learning capabilities, Watson is designed to process information like the human brain and can respond to questions with a certain degree of confidence – learning and becoming more accurate over time.
The new curriculum will align cognitive system computing with the existing business school syllabus through an integrative real-world case study learning experience on the commercialization of Watson. For example, Watson topics in a marketing class could include: How can Watson be applied to personalize the consumer experience? What information would be used to shape the desired outcome? How would marketing resources be realigned?
Required undergraduate courses ranging from Managing Human Resources and Organizational Behavior to Marketing may participate in the program, and as a result, students will gain an understanding how technology like cognitive computing can be put to work in data intensive industries such as health care and financial services. For example students may learn how Watson can look at information from a variety of sources, in the case of healthcare this could include patient records, journal articles, medical history and clinical research to improve the accuracy of diagnoses and treatment or how bankers might improve customer service by looking at vast amounts of financial data, economic forecasts, and client information to personalize banking services allowing for a more personalized experience.