Main Content

Data Analytics: Informing Economic and Financial Decisions

Data Analytics Students

The MA Data Analytics concentration prepares students to make and inform decisions in business, economics and finance with sophisticated statistical methods in data analysis. They will leave prepared to add immediate value to companies and organizations around the world with the skills and knowledge to read and interpret data, present and communicate findings, and design marketing, economic and investment strategies using microdata. 

Careers in Data Analytics

Students complete coursework in big data, forecasting, business and system dynamics, financial modeling and more. Equipped with well-rounded knowledge of statistical software, forecasting techniques, economics and marketing, students leave prepared to pursue careers in organizations that analyze transactional data, prices and consumer behavior, or that analyze investment decisions using large databases. 

Peter Wein '14, MA '15

Finding the best of both worlds: two degrees, one stellar job

Peter Wein, BA/MA '15

Peter Wein found a balance in the Brandeis IBS BA/MA program, where he focused his studies in both international economic policy and data analytics. Today, he applies both areas of expertise in a role at Mather Economics.

Concentration Requirements

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

Group 1: Required Courses (6 credits)

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

Group 2: Quantitative Courses (4 credits required)

BUS 240f Information Visualization (2 credits)
BUS 256a Marketing Analytics (4 credits)
BUS 259f Digital Marketing (2 credits)
ECON/FIN 250a Forecasting in Economics and Finance (4 credits)

Group 3: Electives (at least 10 credits required)

BUS 253a Marketing Research (4 credits)
BUS 274f Supply Chain Analytics (2 credits)
BUS 276a Business Dynamics (4 credits)
BUS 286a Applications of System Dynamics (4 credits)
ECON 261a Empirical Analysis of Trade Policy (4 credits)
ECON 311a Advanced Econometrics (4 credits)
FIN 217f Corporate Financial Modeling (2 credits)
FIN 218f Portfolio Financial Modeling (2 credits)
FIN 280a Financial Risk Management (4 credits)
FIN 285a Computer Simulation & Risk Analysis (4 credits)
FIN 288a Corporate Financial Engineering (4 credits)
or any course in group 2 not used to satisfy that requirement

Faculty Specializing in Data Analytics

From the author of numerous statistical textbooks to a professor who spent eighteen years in corporate and structured 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.