Brandeis International Business School

Core Curriculum

Solve Real-world Problems

students presenting at three day startup competition

The Master of Science in Business Analytics equips students to analyze data. 

Key Elements

  • Learn data management and pre-processing, management-oriented visualization, data structures and analysis, selected machine learning methods, and predictive modeling.
  • Build models and execute analyses to address current needs of businesses as well as solve problems presented in cases.
  • Focus on solving real-world problems as well as gaining experience with current, widely adopted software tools.
“The quantitative classes at Brandeis IBS were instrumental in my hunt for a job in data analytics. Here in the Boston area, you can find many companies that will employ graduates with bright minds and technical skills.”

Begli Nursahedov, IBS ’09, Data Scientist, HubSpot

Curriculum and Timeline

Timeline: 12-Month Program

Fall (19 credits)

  • BUS 211f: Big Data I (2 credits)
  • BUS 240f: Information Visualization (2 credits)
  • ECON 213a: Applied Econometrics with R (4 credits)
  • BUS 224g: Launching Your Global Career (1 credit)
  • Electives (6 credits) — see blow

Choose one based on interest:

  • BUS 256a: Marketing Analytics (4 credits)
  • BUS 276a: Business Dynamics (4 credits)
  • FIN 203a: Financial Management OR Fin 201a: Investments (4 credits)

Spring (18 credits)

  • BUS 212a: Big Data II (4 credits)
  • BUS 215f: Python and its Application to Business Analytics (2 credits)
  • BUS 241f: Machine Learning and Data Analysis for Business and Finance ( 2 credits)
  • Electives (10 credits) — see below

Summer (4 credits)

Practicum:

  • Internship
  • Field Project
  • Directed Research
Timeline: 16-Month Program

Fall (17 credits)

  • BUS 211f: Big Data I (2 credits)
  • BUS 240f: Information Visualization (2 credits)
  • ECON 213a: Applied Econometrics with R (4 credits)
  • BUS 224g: Launching Your Global Career (1 credit)
  • Electives (4 credits) — see below

Choose one based on interest:

  • BUS 256a: Marketing Analytics (4 credits)
  • BUS 276a: Business Dynamics (4 credits)
  • FIN 203a: Investments\Corp Fin OR Fin 201a Investments (4 credits)

Spring (16 credits)

  • BUS 212a: Big Data II (4 credits)
  • BUS 215f: Python and its Application to Business Analytics (2 credits)
  • BUS 241f: Machine Learning and Data Analytics for Business and Finance (2 credits)
  • Electives (8 credits) — see below

Summer (4 credits)

Practicum:

  • Internship
  • Field Project
  • Directed Research

Fall (4 credits)

  • Electives — see below
Other Required Core Courses

Core Courses (4 credits required)

  • BUS 256a: Marketing Analytics
  • BUS 276a: Business Dynamics
  • ECON/FIN 250a: Forecasting in Economics and Finance

Business Analytics Courses (8 credits required)

  • BUS 252a: Marketing Management
  • BUS 253a: Marketing Research
  • BUS 254a: Branding Strategy
  • BUS 257f: Social Media & Analytics
  • BUS 259f: Digital Marketing
  • Bus 260a: Competition and Strategy
  • Bus 261a: Managing Technology and Innovations
  • BUS 272a: Operations Management
  • BUS 274f: Supply Chain Analytics
  • BUS 286a: Applications of System Dynamics
  • RPJM 10:1 Foundations of Project Management
  • FIN 203a: Financial Management OR Fin 201a Investments (Pre reqs for most Finance electives)
  • FIN 270a: Options and Derivatives
  • FIN 217f: Corporate Financial Modeling
  • FIN 218f: Portfolio Financial Modeling
  • FIN 285a: Computer Simulation & Risk Analysis
Electives
The MSBA program requires 8 elective credits. These electives allow students to deepen their learning in specific areas. Students may count any 200-level course in Economics, Business or Finance as an elective or any course in the required list not taken to satisfy those requirements. MSBA students may also petition to have coursework from other graduate Brandeis programs count toward the degree in related fields such as data analysis or programming.