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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. These credits may also be counted toward fulfilment of other concentrations or of the MBA core requirements. Excess credits in Foundation courses are counted toward the Electives requirement.

Foundation (8 credits required)

BUS 211f Analyzing Big Data I
BUS 212a Analyzing Big Data II
BUS 240f Information Visualization

Elective Courses (12 credits required)

BUS 253a Marketing Research
BUS 256a Marketing Analytics
BUS 274f Supply Chain Analytics
BUS 276a Business Dynamics
BUS 286a Applications of System Dynamics
BUS 294a (*) Consulting Field Projects in Data Analytics
BUS 295c (*) Consulting Field Projects in Social Impact Organizations (DA project)
ECON 213a Applied Econometrics
BUS/FIN 241f Machine Learning and Data Analysis for Business and Finance
FIN 217f Corporate Financial Modeling
FIN 218f (**) Portfolio Financial Modeling
ECON/FIN 250a Forecasting in Finance and Econometrics
FIN 280a (**) Financial Risk Management 
FIN 285a (**) Computer Simulation & Risk Analysis
FIN 288a Corporate Financial Engineering

(*) Bus 294a and Bus 295c are Field Projects courses – only one can be counted toward this Concentration.
(**) Fin 201a is a pre-requisite for these courses

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