Tepper School of Business Launches Online Master Of Business Analytics

Online Master of Business Analytics

The Tepper School of Business at Carnegie Mellon University is launching an online Master of Science in Business Analytics (MSBA) program that offers a unique blend of state-of-the-art analytical skills and business knowledge. The distinctive curriculum not only provides substantial technological depth, but also is focused on bringing leading-edge techniques in data analytics into a business context. It occupies a singular space on the spectrum between an MBA and a data science degree.

The Tepper School of Business at Carnegie Mellon University has built its online Master of Science in Business Analytics (MSBA) with these primary objectives:

  • Provide students with the deep analytical skills, business knowledge and creative problem-solving expertise needed to efficiently and effectively transform data into better decision making and a competitive advantage for their organization.
  • Position learners for career advancement — including senior positions at companies in the vanguard of data analytics.

The online MSBA is geared to individuals with technical backgrounds who want to deepen their analytical skills and move into senior business analyst positions. Online MSBA students have varying levels of professional work experience and may have little or no background in business or analytics. They typically relish the challenge of solving complex problems, are passionate about data, and adept at or intrigued by coding and algorithms.

The Tepper School developed the MSBA from the ground up in discussion with business leaders who identified what they consider to be the sweet spot of analytics skills and business knowledge that an employee must have to bring value to industry.

“We wanted to enter the ring with a program that fully reflects the Tepper’s School’s reputation as a leader in the development and use of analytical tools for business application, and draws on the breadth and depth of our research faculty,” says Willem-Jan van Hoeve, Ph.D., Carnegie Bosch Associate Professor of Operations Research and faculty head of the new program. He adds, “Having operated at the intersection of business and technology for so long, we are well-positioned to offer a premier online MS in Business Analytics.”

The Tepper School of Business is world-renowned as both a pioneer in the discipline of management science and present-day leader in the development of analytical methods for solving business problems. With the Tepper School’s track record of success in the delivery of high-quality online education, business school leaders have high expectations for the new online MSBA. This year, the Tepper School’s part-time online MBA, earned a #2 ranking for Best Online MBA Program from U.S. News & World Report.

The data analytics skills gap is well documented. In the United States by 2020, according to a recent blue-ribbon report, there will be nearly 700,000 job openings for data scientists, data developers and data engineers, and the number of jobs for all data professionals will increase to 2,720,000*. In addition to meeting industry demand for data-driven decision makers, the program also meets the increasing demand from students, many of them working professionals, for an online MSBA from a top-tier university that will prepare them for senior business analyst positions without disrupting their careers.

The MSBA online program, aimed at early-career professionals, can be completed in 18 months. It includes up to four on-campus components that are concentrated over long weekends. Tuition for the program is $62,500. The first cohort of online MSBA students will start in August 2018.

About Tepper’s Online M.S. in Business Analytics

The online Master of Science in Business Analytics (MSBA) from the Tepper School of Business at Carnegie Mellon University helps students to develop proficiency in the full range of state-of-the-art business analytics techniques. With a comprehensive curriculum that encompasses data visualization, machine learning and optimization, large-scale data management and more, graduates leave the program positioned for advancement in their careers.

Contacts:

Noelle Wiker, (412) 268-4204

nwiker@andrew.cmu.edu

Author: Salvador Moreno