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Lehigh University’s College of Business offers a STEM-designated master's degree in financial engineering.
All students enrolled in the MFE Program must successfully complete 36 graduate credit hours in a common set of analytical, financial, and computational courses. The program includes a capstone practicum project with a financial services firm. The students will have first-hand experience solving real-world problems and make final presentations to a group of potential recruiters.
The program design allows students to complete the course requirements on campus or online in two calendar years. The program can be completed in less than two years with approval from a Program Director after a transcript review to determine if the previous coursework taken prior to Lehigh University aligns with a shorter degree completion timeline for the program. Lehigh University undergraduates accepted to the 4+1 Masters in Financial Engineering program have a pathway to complete the graduate degree in one year.
Curriculum Overview (36 credits)
All courses for both online and in-person students are synchronous and mostly held during the day with occasional evening classes.
All Core, Capstone, and Professional Development courses listed below are available to online and in-person students.
Online students are not eligible to pursue tracks listed under "Electives"; however, the elective requirements will be fulfilled by choosing a mix of courses from within the various track options. Online students will work with their academic advisor to find 9 credits that are available online.
International applicants are not eligible to complete this degree online.
Analytical Course
Statistical Course
Choose 1 of the following courses:
- MATH 312 Statistical Computing and Applications (3 credits)
- MATH 310 (STAT 410) Random Processes and Applications (3 credits)
Finance Courses
Industrial Engineering Course
Computing Course
Machine Learning Course
Choose 1 of the following courses:
- CSE 326/CSE 426 Fundamentals of Machine Learning (3 credits)
- ISE 364 Introduction to Machine Learning (3 credits)
- MATH 365 (STAT 465) Statistical Machine Learning (3 credits)
Practicum Capstone
Professional Development
Online students are not eligible to pursue the tracks listed below; however, the elective requirements will be fulfilled by choosing a mix of courses from within the various track options.
On-Campus students will choose 3 courses from within their desired choice of track.
Quantitative Risk Track
- MATH 468 Financial Stochastic Analysis (3 credits)
- MAT 339 (STAT 439) Time Series and Forecasting (3 credits)
- GBUS 424 Advanced Topics in Financial Management (3 credits)
Data Science & Financial Analytics Track
- ISE 465 Applied Data Mining (3 credits)
- ISE 467 Mining of Large Datasets (3 credits)
- ISE 444 Optimization Methods In Machine Learning (3 credits)
- MATH 338 (STAT 438) Linear Models in Statistics w/ Applications (3 credits)
- CSB 442 Blockchain: Mathematical Foundations and Financial Applications (3 credits)
Financial Operations Track
- GBUS 426 Financial Markets and Institutions (3 credits)
- GBUS 424 Advanced Topics in Financial Management (3 credits)
- ISE 413 Asset Valuation (3 credits)
View more details in the Lehigh Business Graduate Course Catalog
Certificate Programs
Online students are not eligible to pursue certificate programs.
Certificate Programs are available in Data Science & Financial Analytics, Quantitative Risk Management or Financial Operations Research by completing an additional 6-9 credit hours beyond the 36 credit hours required for the degree.
Candidates for the MS in Financial Engineering degree do not need to apply initially for certificate programs - students would meet with the Program Directors to select their certificate choice (if any) once they are enrolled in the program.
Students with equivalent courses from an undergraduate degree program will be given credit for fulfilling the field requirement and will be permitted to replace the credits from the list of approved electives. The program director must approve the student’s choice of electives.
