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Data Analytics: The Numbers Behind Big Business Decisions


Decisions in business, finance, and economic policy are increasingly driven by sophisticated data analysis. This analysis often calls for the crunching of “big” datasets from financial trading floors, credit card records, or web traffic. The MBA concentration in Data Analytics develops a combination of skills in quantitative methods and data management while also cultivating the abilities to apply these skills in the business, finance, and economics fields.

New STEM Designation

The MBA program's concentration in data analytics was recently acknowledged with a STEM designation, which highlights its emphasis on data analysis, statistical modeling, forecasting and development of operations research techniques used to analyze issues within a company or organization. Under current rules, the STEM designation enables international students who have completed this concentration to extend their practical training in the U.S. for up to 36 months after graduation. 

Careers in Data Analytics

The MBA concentration in Data Analytics is best suited for students who are intrigued by the prospects of managing the intricacies of complex financial transactions. Employers who have recruited Brandeis IBS graduates that are adept in data analytics include EMC Corporation, IBM and Kronos. 

Alumni profile for Ram Iyer, MBA '09

Excelling in the Global Marketplace

Ram Iyer, MBA '09

Following several years in managerial positions at EMC Corporation, Ram Iyer, MBA '09, now serves as the Director of Strategic Planning and Operations at Liberty Mutual in Boston.

Concentration Requirements

The MBA Concentration in Data Analytics requires the completion of 20 credits.

Group 1: Quantitative Requirement (4 credits)

BUS 211f Analyzing Big Data I (2 credits)
BUS 212a Analyzing Big Data II (4 credits)

Group 2: Capstone (4 credits)

Data Analytics Consulting Project (4 credits)

Group 3: Electives (12 credits)

BUS 253a Marketing Research (4 credits)
BUS 256a Marketing Analytics (4 credits)
BUS 274a Supply Chain Analytics (4 credits)
BUS 276a Business Dynamics (4 credits)
BUS 286a Applications of System Dynamics (4 credits)
ECON 213a Applied Econometrics (4 credits)
FIN 217f Financial Modeling I (2 credits)
FIN 218f Financial Modeling II (2 credits)
FIN 250a Forecasting in Finance and Econometrics (4 credits)
FIN 280a Financial Risk Management (4 credits)
FIN 285a Computer Simulation & Risk Analysis (4 credits)
FIN 288a Corporate Financial Engineering (4 credits)

Faculty Specializing in Data Analytics

From the author of numerous statistical textbooks to a professor who spent eighteen years in corporate and structure finance and analysis for several major financial services firms (including a “Big 5” accounting firm), you can be assured you’re learning Data Analytics from some of the top professionals in the field