Brandeis School of Business and Economics

Programs > MBA > Core Curriculum > Data Analytics

Data Analytics

The Data Analytics concentration prepares students to use quantitative information in business. Students learn how to analyze data and forecast trends. Because this concentration is STEM designated, international graduates can extend a 12-month practical training experience after graduation by an additional 24 months.

Careers in Data Analytics

Ram IyerData analytics skills are increasingly in demand in all areas of business, such as finance, marketing, and operations. Brandeis School of Business and Economics graduates have applied their analytics knowledge at IBM, JP Morgan, State Street and Kronos.

Career Spotlight

Ram Iyer, MBA’09
Liberty Mutual
Director, Strategy, Planning and Operations
VIEW PROFILE

See Details on Career Outcomes and Resources

Faculty Spotlight: Arnold Kamis

Arnold Kamis

Arnold Kamis is a professor of the practice of data analytics. His research primarily focuses on information technology, decision support, online consumer behavior and healthcare information. He blends social science and data science to make research contributions that are rigorous, business-relevant, and aiming to make an impact.

Kamis holds a PhD in Information Systems from New York University and MS in Technical Communication from the Rensselaer Polytechnic Institute, and has served on many journal editorial boards, including Decision Analytics and Health Systems.

Concentration Requirements

The MBA concentration in Data Analytics requires the completion of 18 credits. These credits may also be counted toward fulfillment of other concentrations or of the MBA core requirements. Excess credits in foundation courses are counted toward the electives requirement.

Foundation (10 credits required)
  • BUS 211a Foundations of Data Analytics (4)
  • BUS 212a Advanced Data Analytics (4)
  • BUS 240f Information Visualization (2)
Electives (8 credits required)
  • BUS 215f Python and Applications to Business Analytics (2)
  • BUS 216f Python and Applications to Business Analytics II (2)
  • BUS 226a Strategic Human Resource Management and People Analytics (4)
  • BUS 253a Marketing Research (4)
  • BUS 256a Marketing Analytics (4)
  • BUS 257f Social Media and Advertising (2)
  • BUS 259f Digital Marketing (2)
  • BUS 292a Operations Management (4)
  • BUS 276a Business Dynamics: Managing a Complex World (4)
  •  BUS 294a Field Project in Data Analytics (4)
  • BUS 297c Leadership Internships in Social Impact Organizations (4)*
  • FIN 217f Corporate Financial Modeling (2)
  • FIN 218f Portfolio Financial Modeling (2)
  • FIN 285a Computer Simulation and Risk Analysis (4)

* requires Program Director approval

Admissions

The School of Business and Economics Admissions team looks forward to working with you during the application process. We encourage you to contact us if you have questions.

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