Quantitative Finance

Prepare for a career as a financial analyst with the undergraduate Certificate in Quantitative Finance. As a student, you will gain in-demand skills in math, statistics, and programming. 

This program pairs well with majors in the School of Science and Engineering.

What is Quantitative Finance?

Quantitative finance is a specialized field in finance that uses math and statistics to solve complex problems. In the financial world, people with these skills are called "quants."

Since the work is challenging, quants can earn high salaries in these areas:

  • Portfolio and Investment Management
  • Risk Management
  • Derivatives Pricing

Program Information

Learn to solve complex financial problems using math, computer science, and statistics.

Degree

Certificate

School

Palumbo-Donahue School of Business

Duration

Varies

Required Credit Hours

32

Modality

In-Person

Questions?

Reach out to Dr. Rui Liu with questions about the certificate program or course waiver eligibility.

Dr. Rui Liu

Associate Professor of Finance

Photo of Dr. Rui Liu

Curriculum

View the Course Descriptions

The certificate is 32 credits and the required courses vary by major:

  • Mathematics, Applied Mathematics, Data Science, Computer Science, and Physics: take 15 extra credits in Finance.
  • Chemistry, Biochemistry, and Biomedical Engineering: take 15 extra credits in Finance and 3 extra credits in Computer Science.
  • Finance: take 17 extra credits in Mathematics, Statistics, and Computer Science. Seven of these credits will count toward University and Business Core requirements.
  • ACCT 214—Financial Accounting (3 credits)
  • COSC 160/L—Computer Programming: Java/Lab or COSC 170—Computer Programming: Python (3 credits)
  • FINC 313—Business Finance (3 credits)
  • FINC 324—Fixed Income Securities (3 credits)
  • FINC 334—Investments (3 credits)
  • FINC 338—Derivatives (3 credits)
  • ISYS 184—Business Information Systems (3 credits)
  • MATH 115—Calculus I (4 credits)
  • MATH 116—Calculus II (4 credits)
  • MATH 135—Discrete Mathematics or MATH 310—Linear Algebra (3 credits)
  • MATH 301—Introduction to Probability and Statistics I (3 credits)
  • MATH 302—Introduction to Probability and Statistics II (3 credits) Optional