CHEME 4660

Last Updated

  • Schedule of Classes - April 8, 2026 7:48PM EDT

CHEME 4660
Financial Data Markets and Mayhem for Scientists and Engineers

Course information provided by the 2026-2027 Catalog.

A quantitative finance course that enables scientists and engineers to make quantitative financial decisions in corporate and wealth management contexts. We'll use tools from engineering, statistics, artificial intelligence (AI), data science (DS), and machine learning (ML) to model, analyze, and ultimately optimize financial systems and financial decision-making. The material from this course can be applied to traditional economic and engineering fields while simultaneously providing a core set of tools for students interested in entrepreneurship or opportunities in the financial and consulting industries.


Enrollment Priority Open to: students in any STEM field.

Last 4 Terms Offered (None)

Learning Outcomes

  • Analyze financial data sets using tools from artificial intelligence (AI), data science (DS), and machine learning (ML).
  • Identify quantitative models of asset pricing and process performance using real-time and static financial data sets.
  • Demonstrate mastery of quantitative decision-making and risk management approaches in the context of corporate finance and personal wealth management.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CHEME 5660

  • 3 Credits Graded

  •  4958 CHEME 4660   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Varner, J

  • Instruction Mode: In Person

    These courses (or equivalents) are encouraged: Programming: CS 1110/CS 1112 or an equivalent procedural programming or data structures course, such as CS 2024 or CS 2110/ENGRD 2110. Probability: CS 2800, ENGRD 2700, STSCI 2100, or STSCI 3080.

Syllabi: none

  •   Regular Academic Session.  Combined with: CHEME 5660

  • 3 Credits Graded

  •  4959 CHEME 4660   LEC 002

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Varner, J

  • Instruction Mode: Distance Learning-Synchronous

    Enrollment limited to: Distance Learning M. Eng. Program
    These courses (or equivalents) are encouraged: Programming: CS 1110/CS 1112 or an equivalent procedural programming or data structures course, such as CS 2024 or CS 2110/ENGRD 2110. Probability: CS 2800, ENGRD 2700, STSCI 2100, or STSCI 3080.