Q: Why should I earn a Master of Business Analytics degree?
A: The emerging field of “big data” business analytics is among the highest demand areas for job opportunities.
The modern information technology environment generates massive amounts of data (often referred to as "big data") from transactions, business interactions, social exchanges, and sensors.
Business analytics refers to “the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.” Business analytics is the science of translating vast amounts of complex data into clear, manageable information to make sound decisions.
Q: Why should I earn my Master of Business Analytics at Freeman?
A: The Freeman School’s Master of Business Analytics provides a personalized approach in an experiential learning environment with an outstanding faculty and world-class facilities, including Cypress, Tulane’s supercomputer. The curriculum emphasizes using commercial software and data bases from leading vendors. Career track opportunities are available across all of the Freeman School’s business disciplines. New Orleans and Tulane University are enjoyable settings to expand your network of friends and corporate contacts.
Q: What career opportunities are available?
A: The Master of Business Analytics prepares graduates for entry-level positions and careers in business analytics in a broad range of industries and companies, including banks, consulting firms, energy companies, financial services firms, health care organizations, trading organizations, and utilities.
McKinsey Global Institute says big data is “the next frontier for innovation, competition, and productivity” and estimates that by 2018, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.” McKinsey predicts that “the ability to gather and analyze data in real time may become a requirement for doing business, rather than a competitive advantage.”
Q: How is the program structured?
A: See the curriculum section.
Q: What is the student profile for the program?
A: An applicant should have a strong analytical skills and a quantitative aptitude, ideally with a background in computing and mathematics. An applicant should also have a good academic record and an undergraduate degree in a field such as computer science, economics, engineering, finance, accounting, mathematics, or science. Applicants from all majors are considered.
