https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering
Finance and Risk Engineering | NYU Tandon School of Engineering
Information about our grading policy, Capstone requirements, Transfer Admissions, Cross-Registration, and more.
engineering.nyu.edu
Key takeaways
- 4 semesters program for Master
- tuition fee $77,000
- interesting concentrations
- Campus in NYC
Program
Students enrolled full-time will complete the program in 4 semesters (May) although some may accelerate the course load and graduate within 3 semesters.
Deadline: December
Fees
About $77,000 in total
Prerequisites/Requirements
To be considered for admission into the MS in Financial Engineering program, students must have a Bachelor’s Degree from an accredited institution and proven proficiency in:
- Linear Algebra
- Probability Theory
- Multivariable Calculus (Advanced)
- Applied Statistics
- Computer Programming
Admission requirements
- Official Transcripts
- Resume
- Statement of Purpose
- 1-minute video
- 2 Letters of Recommendation
- English Language Proficiency Testing, where applicable
- Online application
- $90 application fee
*Beginning in 2023, the GRE is optional and not required to be admitted to the NYU Tandon School of Engineering.
Curriculum
To earn a Master of Science in Financial Engineering, students must complete 33 credits to qualify for graduation. The structure of the program is as follows:
- Bootcamp of 0 credits
- 5 core courses, each 3 credits
- Focus area and general elective courses within FRE and closely related fields personalized by the student, totaling 13.5 credits
- 1 required applied lab worth 1.5 credits
- 1 capstone experience of 3 credits
- Capstone assessment of 0 credits
- Bloomberg certification of 0 credits
- Total # of credits: 33
The program allows students to select courses from the following focus areas:
- Corporate Finance and Financial Markets
- Computational Finance
- Technology and Algorithmic Finance
- Risk Finance
There are also two options to participate in a Vertically Integrated Project (VIP) (0 credits).
- Merger & Acquisition Outcome Prediction
- Active Portfolio Management with Machine Learning and Time Series Forecasting
Core courses
Required Courses:
- Introduction to Derivative Securities FRE-GY 6073
- Quantitative Methods in Finance FRE-GY 6083
- Valuation for Financial Engineering FRE-GY 6103
Two of the following three courses:
- Financial Economics FRE-GY 6023
- Financial Risk Management FRE-GY 6123
- Machine Learning in Financial Engineering FRE-GY 7773
APPLIED LAB (1.5 CREDITS*)
Choose 1 lab from the following:
Financial Software Laboratory FRE-GY 6811
Financial Econometric Laboratory FRE-GY 6821
Computational Finance Laboratory FRE-GY 6831
Financial Software Engineering Laboratory FRE-GY 6861
R in Finance FRE-GY 6871
Financial Computing FRE-GY 6883
- For FRE-GY6883, 1.5 credits count as lab and 1.5 credits as elective.
Advanced Topics in Financial Technology FRE-GY 6191
CAPSTONE (3 CREDITS)
Choose 1 capstone option:
I. INTERNSHIP
- Financial Engineering Capstone: Internship FRE-GY 7021
- Minimum 240 hours per semester; FRE-GY7021 must be taken twice in order to fulfill the capstone requirement; 1 report to the faculty is required
II. PROJECT
- Financial Engineering Capstone: Project FRE-GY 7043
- Project under faculty supervision
III. THESIS
- MS Thesis in Finance & Risk Engineering FRE-GY 9973
IV. SPECIAL TOPICS
- 3.00 credits (two courses of 1.5 credit each or a single 3.00 credit course) of courses marked “topics” or “special topics” in the FRE section of the school course catalog, with a capstone paper submitted to the capstone advisor.
Corporate finance and financial markets
Highly Recommended Course:
- Corporate Valuation: From Startups to Giants FRE-GY6273, 3 Credits
Consider the following courses to build an area of personal strength in Financial Markets and Corporate Finance.
- Money, Banking and Financial Markets FRE-GY6031, 1.5 Credits
- Extreme Risk Analytics FRE-GY6041, 1.5 Credits
- Financial Econometrics FRE-GY6091, 1.5 Credits
- Investment Banking and Brokerage FRE-GY6111, 1.5 Credits
- Financial Market Regulation FRE-GY621, 1.5 Credits
- Applied Derivative Contracts FRE-GY6291, 1.5 Credits
- Econometrics and Time Series Analysis FRE-GY6351, 1.5 Credits
- Corporate and Financial Strategy FRE-GY6361, 1.5 Credits
- Contract Economics FRE-GY6371, 1.5 Credits
- Mergers & Acquisitions FRE-GY6391, 1.5 Credits
- Fixed Income Securities and Interest Rate Derivatives FRE-GY6411, 1.5 Credits
- Behavioral Finance FRE-GY6451, 1.5 Credits
- Credit Risk & Financial Risk Management FRE-GY6491, 1.5 Credits
- Asset-backed Securities and Securitization FRE-GY6571, 1.5 Credits
- Global Finance FRE-GY6671, 1.5 Credits
- Quantitative Portfolio Management FRE-GY6711, 1.5 Credits
- Selected Topics in Financial Engineering FRE-GY6951, 1.5 Credits
- Algorithmic Portfolio Management FRE-GY7241, 1.5 Credits
- Topics in Finance and Financial Markets I FRE-GY7801, 1.5 Credits
- Topics in Risk Finance I FRE-GY7821, 1.5 Credits
- Topics in Financial and Risk Engineering I FRE-GY7831, 1.5 Credits
- Topics in Financial and Risk Engineering 2 FRE-GY7851, 1.5 Credits
Recommended Lab:
- Financial Econometric Laboratory FRE-GY6821, 1.5 Credits
Computational finance
Highly Recommended Course:
- Options Pricing & Stochastic Calculus FRE-GY6233, 3 Credits
Consider the following courses to build an area of personal strength in Computational Finance.
- Extreme Risk Analytics FRE-GY6041, 1.5 Credits
- Numerical & Simulation Techniques in Finance FRE-GY6251, 1.5 Credits
- Dynamic Assets and Options Pricing FRE-GY6311, 1.5 Credits
- Financial Risk Management and Optimization FRE-GY6331, 1.5 Credits
- Econometrics and Time Series Analysis FRE-GY6351, 1.5 Credits
- Credit Risk & Financial Risk Management FRE-GY6491, 1.5 Credits
- Quantitative Portfolio Management FRE-GY6711, 1.5 Credits
- Selected Topics in Financial Engineering FRE-GY6961, 1.5 Credits
- Special Topics in Financial Engineering FRE-GY6971, 1.5 Credits
- Statistical Arbitrage FRE-GY7121, 1.5 Credits
- Topics in Risk Finance I FRE-GY7821, 1.5 Credits
- Topics in Financial and Risk Engineering I FRE-GY7831, 1.5 Credits
- Topics in Financial and Risk Engineering 2 FRE-GY7851, 1.5 Credits
Recommended Labs (1.5 credits*):
- Computational Finance Laboratory FRE-GY6831, 1.5 Credits
- Financial Computing FRE-GY6883, 3 Credits
Technology and algorithmic finance
Highly Recommended Course:
- Foundations of Financial Technology FRE-GY6153, 3 Credits
Consider the following courses to build an area of personal strength in Technology and Algorithmic Finance.
- Extreme Risk Analytics FRE-GY6041, 1.5 Credits
- Clearing and Settlement and Operational Risk FRE-GY6131, 1.5 Credits
- Numerical & Simulation Techniques in Finance FRE-GY6251, 1.5 Credits
- Behavioral Finance FRE-GY6451, 1.5 Credits
- Derivatives Algorithms FRE-GY6511, 1.5 Credits
- Financial Computing FRE-GY6883, 1.5 Credits
- Statistical Arbitrage FRE-GY7121, 1.5 Credits
- Forensic Financial Technology and Regulatory Systems FRE-GY7211, 1.5 Credits
- Big Data in Finance FRE-GY7221, 1.5 Credits
- Algorithmic Portfolio Management FRE-GY7241, 1.5 Credits
- Algorithmic Trading & High-frequency Finance FRE-GY7251, 1.5 Credits
- News Analytics & Strategies FRE-GY7261, 1.5 Credits
- Topics in Finance and Financial Markets I FRE-GY7801, 1.5 Credits
- Topics in Risk Finance I FRE-GY7821, 1.5 Credits
- Topics in Financial and Risk Engineering I FRE-GY7831, 1.5 Credits
- Topics in Financial and Risk Engineering 2 FRE-GY7851, 1.5 Credits
Recommended Labs (1.5 credits*):
- R in Finance FRE-GY6871, 1.5 Credits
- Financial Computing FRE-GY6883, 3 Credits
Risk
Consider the following courses to build an area of personal strength in Technology and Algorithmic Finance.
- Extreme Risk Analytics FRE-GY6041, 1.5 Credits
- Insurance Finance and Actuarial Science FRE-GY6051, 1.5 Credits
- Financial Econometrics FRE-GY6091, 1.5 Credits
- Clearing and Settlement and Operational Risk FRE-GY6131, 1.5 Credits
- Static and Dynamic Hedging FRE-GY6141, 1.5 Credits
- Financial Market Regulation FRE-GY6211, 1.5 Credits
- Actuarial Models FRE-GY6223, 3 Credits
- Applied Derivative Contracts FRE-GY6291, 1.5 Credits
- Financial Risk Management and Optimization FRE-GY6331, 1.5 Credits
- Econometrics and Time Series Analysis FRE-GY6351, 1.5 Credits
- Fixed Income Securities and Interest Rate Derivatives FRE-GY6411, 1.5 Credits
- Credit Risk & Financial Risk Management FRE-GY6491, 1.5 Credits
- Market Risk Management and Regulation FRE-GY6731, 1.5 Credits
- Sp Tpc in Applied Credit Derivatives & Securitization FRE-GY6941, 1.5 Credits
- Special Topics in Financial Engineering FRE-GY6971, 1.5 Credits
- Topics in Risk Finance I FRE-GY7821, 1.5 Credits
Various special topics courses, as offered, including:
- Extreme Risk & Fractional Finance
- Financial Cyber Risks Management
- Topics in Real Time Trading & Risk Management
- Topics in Financial Risk Management
- Topics in Advanced Credit Risk and Derivatives
- Topics in Actuarial and Insurance Finance
- Topics in Financial Analytics and Big Data
- Topics in Financial Regulation and Compliance
- Financial Risk Management and Incomplete Markets
- Financial Risk Measurement
Recommended Labs (1.5 credits*):
- Students must choose one lab from the following:
- Financial Software Laboratory FRE-GY6811, 1.5 Credits
- Financial Econometric Laboratory FRE-GY6821, 1.5 Credits
- Computational Finance Laboratory FRE-GY6831, 1.5 Credits
- Financial Software Engineering LaboratoryFRE-GY6861, 1.5 Credits
- R in Finance FRE-GY6871, 1.5 Credits
- Financial Computing FRE-GY6883, 3 Credits
- Please note: for FRE-GY 6883, 1.5 credits count as lab and 1.5 credits as elective.
https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering/fre-course-listings
FRE Course Listings | NYU Tandon School of Engineering
engineering.nyu.edu
