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Stillman School of Business

M.S. in Financial Technology and Analytics Curriculum

The program consists of 23 credits of required courses, 9 credits in either the data science or business analytics track, and 3 hours of elective course(s), bringing the program total to 35 credits.

Required Courses (32 hours)
Course  Course Title  Number of Credits
BMBA 9460 Financial Decision Making 2 credits 
BFIN 7219 Security Analysis 3 credits
BFIN 7255 Financial Modeling 3 credits
BFIN 7260 Financial Technology and Artificial Intelligence 3 credits 
BFIN 7261 Financial Software Skills 3 credits 
BFIN 7262 Financial Analytics and Machine Learning 3 credits 
BFIN 7263 Algorithmic Trading and Application of Robotics 3 credits 
BFIN 7264 Blockchain for Finance and Crypto Assets 3 credits 
Select one of the following two tracks (9 hours):

Data Science Track

Course Course Title Number of Credits
DASC 6811 Statistics for Data Science 3 credits 
DASC 6010 Data Mining 3 credits 
DASC 6911 Big Data Analytics 3 credits 

or 

Business Analytics Track

Course Course Title Number of Credits
BITM 7136 Big Data Analytics 3 credits 
BSAN 7001 Intro to Data Analytics and Business Intelligence 3 credits 
BSAN 7011 Exploratory Data Analysis and Data Visualization 3 credits 

Elective Courses (3 credit hours) - Visit CourseLeaf for more info.

Pre-qualification Procedures: For students without any prior Finance education, completion of the Finance Pre-Qualifier (BMBA 8013) is required before taking Financial Decision Making (BMBA 9460), which is a starting course for the program. For students with a Finance education, this Pre-Qualifier requirement is waived.