Minor in Financial Technology

About the Minor

Financial technology is the application of technology in providing financial services to clients and competes with traditional methods for providing these services. It includes, but is not limited to, cryptocurrencies, peer-to-peer lending, crowdfunding, initial coin offerings, and the technology-based alternatives to personal advising or trading. For additional information about this Minor please contact the Department of Finance. 

Admission Requirements

Must be enrolled in an undergraduate degree program at the University.

Requirements

  • No more than 2 courses or 8.0 credits can be counted towards any additional major/minor/co-major or certificate.
  • No more than two transfer courses may be used to complete this minor. Transfer credits must be taken before matriculated at Drexel.
  • Students should check the pre-requisites of all classes when selecting electives. It is the responsibility of the student to know pre-requisites.
  • Cannot do a major and a minor in the same field of study.

For more information please contact LeBow College Undergraduate Advising Office at lebowadv@drexel.edu and visit the Undergraduate Advisors website. 

Program Requirements

Please note the following prerequisites are required to complete the Minor in Financial Technology:  ACCT 115 or  ACCT 110, BSAN 160 and STAT 202. 

Required Courses
BSAN 360Programming for Data Analytics4.0
FIN 301Introduction to Finance4.0
FIN 339Fintech4.0
Select 12 credits from the following:12.0
Information Privacy, Data and the Law
Intellectual Property and Cyber Law
Computer Programming I
Computer Programming II
Using Big Data to Solve Economic and Social Problems
Introductory Programming for Engineers
Financial Institutions and Markets
Introduction to Data Science
Information Visualization
International Money and Finance
Technology Management
Systems Analysis and Design
Information Security Systems Management
Digital Marketing
Data-Driven Digital Marketing
Linear Models for Decision Making
Introduction to Data Mining for Business
Total Credits24.0