MSBA/MA Dual Degree

Program Description

The MSBA/MA dual degree is an intensive program that requires 77 credits over four to five semesters. This dual degree provides students with a unique blend of finance, economics and business analytics skills to pursue in-demand positions in careers including finance, consulting, data science and business analytics.

Students who enroll in the dual degree when admitted to the business school or during their first program are able to complete both degrees with a combined 77 credits, instead of the 105 credits required to earn each degree independently. Transfer credits may not be applied toward the required 77 credits needed for the degrees. 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 MA degrees can be found on their program pages.

MSBA/MA students can earn a Data Analytics concentration in the MA program based on degree requirements. However, students may select an alternative concentration in the MA program.

Degree Requirements (77 credits)

MSBA

Core Requirements (21 credits)

BUS 211a: Foundations of Data Analytics (4 credits)
BUS 240f: Information Visualization (2 credits)
ECON 213a: Applied Econometrics with R (4 credits)
BUS 224g: Launching Your Global Career (1 credit)
BUS 212a: Advanced Data Analytics (4 credits)
BUS 215f: Python and its Application to Business Analytics (2 credits)
BUS 241a: Machine Learning and Data Analysis for Business and Finance ( 4 credits)

Practicum (4 credits)

BUS 286a: Applications of System Dynamics
BUS 296a: Internship
BUS 294a: Field Project
BUS 290a: Directed Research

MA

Core Requirements (20 credits)

ECON 207a: Managerial Economics (4 credits)
FIN 201a: Investments (4 credits)
FIN 212a: Accounting and Financial Analysis (4 credits) or FIN 213a Intermediate Accounting (4 credits)
ECON 202a: Applied International Macroeconomics (4 credits)
FIN 202a: Corporate Finance (4 credits)

General Elective credits (32 credits)

Sample Course Plan

First Year

Fall (17 credits)

BUS 211a: Foundations of Data Analytics (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)
FIN 212a: Financial Accounting and Analysis (4 credits)
Elective (2 credits)
BUS 224g: Launching Your Global Career (1 credit)

Spring (16 credits)

BUS 212a: Advanced Data Analytics (4 credits)
BUS 241a: Machine Learning and Data Analysis for Business and Finance (4 credits)
BUS 260a: Competition and Strategy (4 credits)
Electives (4 credits)

Summer (4 credits)

MSBA Practicum (choose only one):