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Overview
This Financial Engineering and Risk Management Specialization is offered by Coursera in partnership with Columbia University. This specialization is intended for aspiring learners and professionals seeking to hone their skills in the quantitative finance area.
Through a series of 5 courses, we will cover derivative pricing, asset allocation, portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading.
Those financial engineering topics will prepare you well for resolving related problems, both in the academic and industrial worlds.
What you'll learn
- Valuing options, swaps, forwards, futures, and other complex financial derivatives using stochastic models
- Develop a systematic, data-driven approach to formulating modeled returns and risks for significant asset classes and optimal portfolios
- Back test and implement trading models and signals in an active, live trading environment
Skills you'll gain
- Finance
- Risk Management
- Probability & Statistics
- Mathematics
- Leadership and Management
- Investment Management
Programme Structure
Courses included:
- Introduction to Financial Engineering and Risk Management
- Term-Structure and Credit Derivatives
- Optimization Methods in Asset Management
- Advanced Topics in Derivative Pricing
- Computational Methods in Pricing and Model Calibration
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Financial Technology Financial Management View 17 other Short Courses in Financial Management in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Recommended experience: Intermediate knowledge of probability, statistics, linear algebra, and calculus. Proficient with Excel and working knowledge in Python.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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