The Specialized Graduate Certificate in Financial Engineering and Artificial Intelligence (AI) is a multidisciplinary program that prepares professionals to solve real-world financial challenges using advanced AI and machine learning tools. The program is offered through a collaboration between the Ritchie School of Engineering and Computer Science and the Daniels College of Business, resulting in a robust certificate that combines finance and AI and provides strong technical and applied focus. 

Program at a Glance

The program blends in-person and online classes that are tailored to accommodate your lifestyle and learning preferences as a working professional. Start your application process today.

  • Start Dates: Fall (Sept.)

  • Curriculum: 16 Credit Hours

  • Term Length: 10 weeks

  • Format: Hybrid

  • Admission: No GRE or GMAT

  • Duration: 12 Months

  • Tuition: $1,419 per credit hour

  • Contact Enrollment Advisor Kevin Alt for more info.

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    Kevin Alt
    Call: 303-871-6964
    Kevin.Alt@DU.edu

    Schedule a Call With Kevin
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Core Curriculum

The program integrates finance theory with high-demand technical classes in mathematics and machine learning to solve complex modeling and management challenges.  You'll take courses in: 

  • FIN 4200: Financial Investments and Markets
  • ENGR 4623: Mathematics and Engineering Tools for Financial Engineering and AI
  • FIN 4830: Econometrics for Finance
  • COMP 4432: Machine Learning
Course Schedule
Fall WinterSpring
Financial Investments and Markets
FIN 4200
Econometrics for Finance 
FIN 4830 
Mathematics and Engineering Tools for Financial Engineering and AI
ENGR 4623
Mathematics and Engineering Tools for Financial Engineering and AI
ENGR 4623
Machine Learning 
COMP 4432
Machine Learning 
COMP 4432
 Financial Investments and Markets 
FIN 4200
Financial Investments and Markets 
FIN 4200

What You'll Learn

Through a multidisciplinary coursework integrating finance theory with machine learning, artificial intelligence, applied mathematics, and programming, you'll build job-ready skills for AI-enabled financial decision-making. You'll develop the skills in: 

  • Financial modeling for complex financial systems
  • Investment strategies evaluation 
  • Machine learning 
  • Econometrics for financial data 
  • Applied mathematics for financial engineering 
  • Risk analysis and quantitative decision-making 
  • Programming and technical tools for financial systems 
  • Data-driven decision-making for banking, securities, insurance, and corporate finance
finance and AI students

Career Outcomes and Industry Applications

Financial Engineering

The Graduate Certificate in Financial Engineering is specifically designed for working professionals who want to apply technical, analytical, and AI-driven skills in finance-related roles, including: 

  • Banking 
  • Insurance companies 
  • Quantitative finance 
  • Securities 
  • Consulting industries
  • Corporate risk 
  • Regulatory agencies, and 
  • General finance management businesses and industries.

Application Information

Take the first step toward your academic career at the Ritchie School and start your application today.


A Multi-Disciplinary Certificate Delivered By

Ritchie School of Engineering and Computer Science logo

 

DU Daniels College

Key Faculty

 
Margareta Stefanovic

Margareta Stefanovic

Associate Professor, Electrical & Computer Engineering

Learn More