Brandeis International Business School

MSBA/MSF Dual Degree

Program Description

The MSBA/MSF dual degree is an intensive program that requires 67 credits over four to five semesters. This dual degree allows students to deepen their finance knowledge and develop their skills in applications of data analytics in finance. The degree would also deepen students’ understanding of financial services and corporate strategy. 

Students who enroll in the dual degree when admitted to the business school or add the second degree within the first year of their first program are able to complete both degrees with a combined 67 credits, instead of the 86 credits required to earn each degree independently. Students must meet admissions requirements of both programs to be admitted to the dual degree program and complete the requirements of both programs to earn both degrees. Full requirements for the MSBA and MSF degrees can be found on their program pages.

Degree Requirements (67 credits)

Finance Core Requirements (22 credits)

FIN 201a Investments (4 credits)

FIN 204a Advanced Corporate Finance Theory & Practice (4 credits)

FIN 217f Corporate Finance Modeling (2 credits)

FIN 212a Financial Accounting and Analysis (4 credits) or FIN 213a Intermediate Financial Accounting (4 credits)

FIN 261a Fixed Income Securities (4 credits)

FIN 270a Options and Derivatives (4 credits)

Financial Analytics Practicum (4 credits -choose only one)

Financial Analytics Internship (4 credits)

Field Project in Financial Analytics (4 credits)

Directed Research in Financial Analytics (4 credits)

General Degree Requirement (1 credit)

BUS 224g Launching Your Global Career (1 credit)

MSF Approved Finance Electives (16 credits)

Business Analytics Core Degree Requirements (20 credits)

BUS 211a Foundations of Data Analytics (4 credits)

BUS 240f Information Visualization (2 credits)

ECON 213a Applied Econometrics with R (4 credits)

BUS 212a Advanced Data Analytics (4 credits)

BUS 215f Python and its Application to Business Analytics or FIN 215f Python and its Applications to Finance (2 credits)

BUS 241a Machine Learning and Data Analysis for Business and Finance ( 4 credits)

General Elective Credits (4 credits) 

Any 200-level Bus, Econ or Fin course


Sample Course Plan

First Year

Fall (15 credits)

  • Fin 201a Investments (4)
  • Fin 212a Financial Accounting (4)
  • Fin 204a Advanced Corporate Finance (4)
  • Fin 215f Python and Applications to Finance (2)
  • Bus 224g Launching Your Global Career (1)

Spring (14 credits)

  • Fin 217f Corporate Financial Modeling (2)
  • Fin 261a Fixed Income (4)
  • Fin 270a Options and Derivatives (4)
  • Bus 211a Foundations of Data Analytics (4)

Summer (4 credits)
Practicum (choose only one):

  • Financial Analytics Directed Research (4 credits)
  • Field Project in Financial Analytics (4 credits)
  • Internship in Financial Analytics (4 credits)
Second Year

Fall (14 credits)

  • Econ 213a Applied Econometrics with R (4)
  • Bus 212a Advanced Data Analytics (4)
  • Bus 240f Information Visualization (2)
  • MSF elective (2)
Spring (12 credits)
  • Bus/Fin 241a Machine Learning (4)
  • MSF elective credits (4)
  • MSBA elective - Group 1 (4)
Third Year

Fall (8 credits)

  • MSF elective credits (6)
  • MSBA Electives (2 credits)

*Students who would like to accelerate their program and graduate in Spring 2 may take an increased course load in Spring 1, Fall 2 and Spring 2. 

MSBA students who apply to add the MSF dual degree in their first year will have a course plan that more closely resembles Year 2, followed by Year 1.

MSBA students cannot add the MSF program at the end of their final term. They have the option to complete an MSF with transfer credits, but must begin the MSF program in the fall term.

Career Outcomes

Looking for information about our alumni and their career paths? 

 MSBA Career Outcomes  MSF Career Outcomes