ACFI 720 (1ON) - Top/Big Data in Finance

Durham   Paul College of Business&Econ :: Accounting and Finance
Credits: 4.0
Term: Summer 2018 - Summer Session IV (06/25/2018 - 07/27/2018)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 70894
Special topics. Prereq: ADMN 570. May be repeated for a maximum of 16 credits.
Repeat Rule: May be repeated for a maximum of 16 credits.
Equivalent(s): ACFI 720W, ADMN 723
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior
Only listed majors in section: BUSADM:FINANCE
Attributes: Online (no campus visits), EUNH
Instructors: STAFF

Times & Locations

Start Date End Date Days Time Location
6/25/2018 7/27/2018 Hours Arranged ONLINE
Additional Course Details: 

The wealth of data available and the speed of information in the finance world has created a new environment for traders, wealth managers, and investment bankers. This course covers many topics related to this changing environment where technology and finance have become closer than ever before.

Topics Covered:

  • High-Frequency Trading
  • Cryptocurrencies
  • Algorithmic Trading Strategies
  • Financial Data Sources
  • Bloomberg Terminal
  • Python, SAS, and Stata
  • Big Data Safety and Encryption
  • Financial Data Ethics

Technology Skills Taught:

  • Python
  • Bloomberg
  • Morningstar
  • SAS
  • Stata

Access to a Windows operating system is required for this course to run SAS and Stata. Mac users will either need to have access to a computer running Windows, use a University computer lab computer, or have a split hard drive on their Mac such as Parallels. 

Contact for more information.