MIT Sloan School launches a new Master of Analytics degree as the growing use of “big data” creates opportunities for strategic business change and innovation
The yearlong program begins in the fall of 2016 with an inaugural class of 30 students
Cambridge, Mass., March 7, 2016
MIT Sloan School of Management
today announced the launch of a new specialized Master of Business Analytics (M.B.An.) program designed to prepare students for careers in business
The school, together with the MIT Operations Research Center (ORC), introduces the M.B.An. in response to intense demand by current students and employers
for a rigorous degree program focused on applying the tools of modern data science to solve problems in business and society. MIT now offers an analytics
degree at the undergraduate, graduate, and Ph.D. levels.
“In the Era of Big Data, the demand for skilled practitioners who understand how to mine and analyze the vast amount of digital data that’s being created
is a well-known challenge,” says David Schmittlein, Dean of MIT Sloan. “In recognition of this need for innovation and excellence in analytics, our mission
is to build a world class Masters program in data science that leverages the intellectual resources of MIT, is based on cutting-edge research, and, as a
result, attracts the very best applicants.”
A wide range of industries, including marketing, finance, health care, logistics, insurance, ecommerce, manufacturing, and government services already use
analytics in their business processes and more will continue to do so in the next decade. According to a report from McKinsey Global Institute (MGI), the
U.S. will experience a shortage of 190,000 data scientists and 1.5 million managers and analysts capable of harvesting actionable insights from big data by
2018. A case in point: Job postings related to analytics at MIT Sloan’s Career Development Office have increased 78% over the past three years.
“The new degree is a timely addition to our portfolio of programs and builds on MIT Sloan’s excellence in management, finance, and business analytics,”
says Jake Cohen, senior associate dean for Sloan undergraduate and master’s programs. “The depth of the program creates a compelling value proposition—both
for prospective students and for the companies and organizations that hire them.”
The success of any degree program is driven by its “intellectual content and the career opportunities it creates” for its participants, says Dimitris
Bertsimas, the Boeing Leaders for Global Operations Professor of Management and the Co-Director of the ORC. “The professional opportunities for our
graduates will be extensive. Companies from I.B.M. to Dell to Amazon to Google are collectively investing billions of dollars in data collection to build
models that help them make better, more informed decisions. This is a transformational moment in business and management science.”
The inaugural class of 30 students is slated to enter MIT Sloan in fall 2016. By 2020, the class will reach steady state of sixty students.
The full-time, 12-month-long program is divided into three semesters: fall, spring, and a summer capstone. During the 10-week capstone, students work in
small teams onsite at a U.S. or international company on a real data science problem. Each group completes a written report and gives a final oral
presentation to the company and Sloan/ORC faculty.
“The capstone reflects the school’s commitment to action learning,” says John Hauser, the Kirin Professor of Marketing at the school. “It gives students an
opportunity to get out in the field—with a lot of faculty mentoring and support—and apply the very deep technical knowledge they’ve learned in the
classroom to solve a real world challenge. We want them to dive into data: to handle it, to organize it, and to interpret what it means.”
Interested students should have strong mathematical, computer science, and statistical backgrounds. The program is tailored for recent college graduates
who plan to pursue a career in the data science industry, as well as those seeking a career change, especially engineers, mathematicians, physicists,
computer programmers, and other high-tech professionals.
To be considered for the program, candidates must submit a personal statement and optional essay, a transcript, resume, recent GMAT or GRE scores, and
three letters of recommendation. Tuition for the program is $75,000.