Brandeis International Business School

Programs > MA > Core Curriculum > Data Analytics

Data Analytics

The MA concentration in Data Analytics prepares students to study and make decisions in business, economics and finance as they develop sophisticated technical analysis skills in data science. Students complete coursework in big data, forecasting, marketing analytics, business and system dynamics, financial modeling and more.

Careers in Data Analytics

Peter Wein

Students graduate with a well-rounded knowledge of statistical software, forecasting techniques, economics and marketing. They’re prepared to design marketing, economic and investment strategies in roles that call for analyzing transactional data, prices and consumer behavior or analyzing investment decisions using large databases.

Career Spotlight

Peter Wein, BA/MA '15
Mather Economics LLC
Senior Analyst
VIEW PROFILE

Faculty Spotlight: Arnold Kamis

Arnold Kamis

Arnold Kamis is an associate professor 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 MA concentration in Data Analytics requires the completion of 22 credits.

Group 1: Required Courses (6 credits)
  • BUS 211a: Foundations of Data Analytics (4 credits)
  • BUS 215f: Python and Applications to Business Analytics (2 credits)
Group 2: Quantitative Courses (4 credits)
  • BUS 216f: Python and its Application to Business Analytics II (2 credits) 
  • BUS 240f: Information Visualization (2 credits)
  • BUS/FIN 241a: Machine Learning and Data Analysis for Business and Finance (4 credits)
  • ECON/FIN 250a: Forecasting in Economics and Finance (4 credits)
  • BUS 256a: Marketing Analytics (4 credits)
  • BUS 259f: Digital Marketing (2 credits)
  • BUS 276a: Business Dynamics (4 credits)
Group 3: Electives (at least 8 credits)
  • BUS 212a: Advanced Data Analytics (4 credits)
  • BUS 253a: Marketing Research (4 credits)
  • BUS 243a: Introduction to New Language Processing (4 credits)
  • BUS 244A Generative AI Foundations for Business (4 credits)
  • ECON 261a: Empirical Analysis of Global Trade (4 credits)
  • ECON 311a: Advanced 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)

Or any course in group 2 not used to satisfy that requirement

Or any course from groups 1 and 2 not taken to satisfy those requirements

Practicum (4 credits)
  • BUS 294a: Data Analytics Field Project (4 credits)
  • BUS 286a: Applications of System Dynamics (4 credits)

Admissions

The Brandeis International Business School Admissions team looks forward to working with you during the application process. We encourage you to contact us at 781-736-2252 or at [email protected] at any time if you have questions.

Are you ready to get started? Request more information or begin applying today.

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