Certificate in Quantitative Finance

The Certificate in Quantitative Finance allows students to develop a skill set and deep knowledge in mathematics, computer science, probability, statistics, and the applications of these disciplines to finance.

Finance has seen a paradigm shift towards quantitative method, big data, and computer-based technology in recent years. These changes have been dramatic and fast, which result in a great demand for finance professionals with a background in quantitative finance. These individuals are often referred to as quantitative analysts, or simply "quants" in the financial world. Because of the challenging nature of the work, which needs to blend mathematics, finance, and programming skills effectively, quant analysts can command relatively high salaries. The certificate seeks to provide the latest financial methodologies and techniques so that students can succeed in the fast-changing finance profession.

Required Courses

The certificate requires 32 credits of coursework in Mathematics, Statistics, Computer Science, and Finance. For individual students, requirements vary depending on the student's major:

Students in Mathematics, Applied Mathematics, Data Science, Computer Science, and Physics can earn the certificate with their major by completing an additional 15 credits in Finance.
Students in Chemistry, Biochemistry, and Biomedical Engineering can earn the certificate with their major by completing an additional 15 credits in Finance plus 3 credits in Computer Science.
Students in Finance can earn the certificate with their major by completing additional 17 credits in Mathematics, Statistics, and Computer Science. Seven of these credits can be counted toward university and business core requirements.

Possible Sequence

Fall Semester Spring Semester
Freshman MATH 115, ACCT 214 MATH 116
Sophomore MATH 135 or MATH 310, MATH301* COSC 160 or COSC 170, FINC 313
MATH 302 (optional)
Junior FINC 324 FINC 334
Senior FINC 334 FINC 338

* MATH 225/335 may be substituted for MATH 301/302

Questions may be directed to Dr. Rui Liu at liur2@duq.edu