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 the International Business School 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, MA ’09, Data Scientist, HubSpot

Curriculum and Timeline

The MSBA program is 12-months or 16-months in length and requires 41 credits. Students have the opportunity to take courses at other institutions in the area in related fields. The MSBA program requires 27 core credits.

Sample Fall Course Plan: 12-Month

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 215f: Python and its Application to Business Analytics (2 credits)
  • BUS 224g: Launching Your Global Career (1 credit)
  • Electives (8 credits) — see below

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/FIN 241a: Machine Learning and Data Analysis for Business and Finance (4 credits)
  • Electives (10 credits) — see below

Summer (4 credits)

Practicum:

  • Internship
  • Field Project
  • Directed Research
Sample Spring Course Plan: 12-Month
Spring (19 credits)
  • BUS 211f: Big Data I (2 credits) 
  • BUS 240f: Information Visualization (2 credits) 
  • ECON 213a: Applied Econometrics with R (4 credits) 
  • BUS 215f: Python and its Application to Business Analytics (2 credits) 
  • BUS 224g: Launching your Global Career (1 credit) 
  • Electives (6 credits)—see below 

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) 
Summer (18 credits)
  • BUS 212a: Big Data II (4 credits) 
  • BUS/FIN 241a: Machine Learning and Data Analysis for Business and Finance (4 credits) 
  • Electives (10 credits) — see below 
Fall (4 credits)

Practicum: 
  • Internship
  • Field Project 
  • Directed Research 
Sample Fall Course Plan: 16-Month

Fall (17 credits)

  • BUS 211f: Big Data I (2 credits)
  • BUS 240f: Information Visualization (2 credits)
  • BUS 215f: Python and its Application to Business Analytics (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/FIN 241a: Machine Learning and Data Analytics for Business and Finance (4 credits)
  • Electives (8 credits) — see below

Summer (4 credits)

Practicum:

  • Internship
  • Field Project
  • Directed Research

Fall (Remaining credits)

  • Electives (Remaining credits, minimum 4) — see below
Sample Spring Course Plan: 16-Month
Spring 1 (17 credits) 
  • BUS 211f: Big Data I (2 credits) 
  • BUS 240f: Information Visualization (2 credits) 
  • BUS 215f: Python and its Application to Business Analytics (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) 
Summer (16 credits) 
  • BUS 212a: Big Data II (4 credits) 
  • BUS/FIN 241a: Machine Learning and Data Analytics for Business and Finance (4 credits) 
  • Electives (8 credits) — see below 
Fall (4 credits) 

Practicum: 
  • Internship
  • Field Project 
  • Directed Research 
Spring 2 (Remaining credits) 
  • Electives (Remaining credits, minimum 4) — see below 
Other Required Courses
Required Courses (19 credits)
  • BUS 224g: Launching Your Global Career (1 credit)
  • BUS 215f: Python and Applications to Business Analytics (2 credits)
  • BUS 211f: Big Data I (2 credits)
  • BUS 212a: Big Data II (4 credits)
  • BUS 240f: Information Visualization (2 credits)
  • BUS 241a: Machine Learning and Data Analysis for Business and Finance (4 credits)
  • ECON 213a: Applied Econometrics with R (4 credits)
Group 1: Core Courses (4 credits required)
  • BUS 256a: Marketing Analytics
  • BUS 276a: Business Dynamics
  • ECON/FIN 250a: Forecasting in Economics and Finance
Group 2: Electives (8 credits required)
  • BUS 216f: Python and Applications to Business Analytics (4 credits)
  • BUS 233a: Entrepreneurship and Rapid Prototyping (4 credits)
  • BUS 252a: Marketing Management (2 credits)
  • BUS 253a: Marketing Research (4 credits)
  • BUS 257f: Social Media & Analytics (2 credits)
  • BUS 259f: Digital Marketing (2 credits)
  • BUS 261a: Managing Technology and Innovation (4 credits) 
  • BUS 272a: Operations Management (4 credits)
  • BUS 274f: Supply Chain Analytics (2 credits)
  • BUS 260a: Competition and Strategy (4 credits)
  • ECON/FIN 243a: Technological Rivalry (4 credits)
  • ECON 311a: Advanced Econometrics I (4 credits)
  • FIN 203a: Financial Management OR Fin 201a Investments (4 credits)
  • FIN 217f: Corporate Financial Modeling (2 credits)
  • FIN 218f: Portfolio Financial Modeling (2 credits)
  • FIN 234a: Social Impact Investing (4 credits)
  • FIN 270a: Options and Derivatives (4 credits) 
  • FIN 282f: From Cyber to COVID: Shocks, Risks and Opportunities in Finance (2 credits) 
  • FIN 285a: Computer Simulation & Risk Analysis (4 credits)
  • RPJM 101: Foundations of Project Management

Or any course from Group 1 not taken to satisfy those requirements.

Electives (6 credits)
  • BUS 297a: Approved Internship (2 credits) or
  • Any BUS, BUS/FIN, ECON, ECON/FIN or FIN course offered at International Business School

(Except BUS 249f. Including, but not limited to the courses listed above, if not used to fulfill that
requirement.)

Capstone (4 credits required)
  • BUS 286a: Applications of System Dynamics (4 credits)
  • BUS 294a: Data Analytics Field Project (4 credits)
  • BUS 296a: Internship (4 credits)
  • BUS 290a: Directed Research (4 credits)