Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
EdX’s Mathematical Methods for Quantitative Finance employs mathematical operations in a 12-week course. It aims at financial calculations and risk prediction. The topics included are linear algebra, probability, optimization, statistics, stochastic processes, and applied computational techniques in R. Learners can choose to pay the certificate fee and add a verified certificate to their belt.
Based on Economics and finance, the course curriculum is taught by the Massachusetts Institute of Technology’s faculty. Professors Paul F Mende and Egor Matveyev are the instructors of EdX’s Mathematical Methods for Quantitative Finance course. They are senior lecturers at MIT and additionally teach at the Sloan School of Management. Professor Egor Matveyev is also a research scientist in finance.
Set on an advanced level, the video transcripts for the Mathematical Methods for Quantitative Finance by EdX online course are in English and are led on a schedule. Candidates can opt for a free programme and pay for the certificate, or purchase a corporate training package for enterprises. As a MicroMasters programme, it is ideal for those who plan on taking up the CFA exams. This is an instructor-paced programme and can be taken by the learners either in paid mode with the certificate or free mode without the certificate. In the free audit mode, the candidates will have access to the course only for a limited period.
The Highlights
- Advanced programme in economics and finance
- Verified certification
- Delivery language: English
- Free learning
- Paid certificate
- Instructor-paced course
- 10-14 hours of weekly dedication
- MIT instructors
- Scheduled programme
- Professional certification course
- Industry-expert instructor
- Video tutorial classes
- E-Learning
- Project-based assignment
- Career-focused learning
- 12-week micro-masters course
Programme Offerings
- Micromasters
- Advanced
- Career-focused learning
- completion certificate
- Online-scheduled classes
- Corporate training packages
- Scheduled learning
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| USD 549 | yes | MIT Cambridge |
Mathematical Methods for Quantitative Finance Fees Structure :
| Course | Amount |
| Certificate Fees | $ 549 |
Eligibility Criteria
Candidates pursuing the online course in Mathematical Methods for Quantitative Finance by EdX must know the basics of calculus, linear algebra, probability, and calculus. Since it is an advanced course in Economics and Finance, general know-how of the subjects would prove beneficial.
What you will learn
The Mathematics Methods for Quantitative Finance will enable you to build proficiency in areas such as:-
- Application of computational techniques
- Pricing assets through linear algebra
- Monte Carlo simulation
- Optimization
- Continuous-time stochastic procedures
- Financial probability distributions
- ARMA, GARCH, and random walks among other time-series models
- Econometric analysis and statistics
Who it is for
The Mathematical Methods for Quantitative Finance course by EdX is perfect for:
- Engineers
- Quants
- Risk managers
- Investment managers
- Developers
- Traders
- CFA aspirants
Admission Details
Interested students can enrol on EdX’s Mathematical Methods for Quantitative Finance course by registering their details on EdX's website and signing in. Admissions to the programme are made in batches arranged throughout the year. A detailed step-by-step procedure is given below:-
- Visit the official page course webpage and check when the next batch starts.
- Enrol for the next batch by registering to EdX using your details like email address, phone number, etc.
- Sign in to your account and begin the learning process when your batch starts.
Application Details
Candidates willing to pursue the Mathematical Methods for Quantitative Finance course by EdX do not have to submit a printed application form. Signing into EdX’s website will do.
The Syllabus
- review of laws probability
- common distributions of financial mathematics
- CLT
- LLN
- characteristic functions
- asymptotics
- statistical inference and hypothesis tests
- time series tests and econometric analysis
- regression methods
- random walks and Bernoulli trials
- recursive calculations for Markov processes
- basic properties of linear time series models (AR(p) MA(q), GARCH(1,1))
- first-passage properties
- applications to forecasting and trading strategies
- continuous time limits of discrete processes
- properties of Brownian motion
- introduction to Itô calculus
- solving differential equations of finance
- applications to derivative pricing and risk management.
- review of axioms and operations on linear spaces
- covariance and correlation matrices
- applications to asset pricing
- Lagrange multipliers and multivariate optimization
- inequality constraints and quadratic programming
- Markov decision processes and dynamic programming
- variational methods
- applications to portfolio construction
- algorithmic trading and best execution
- Monte Carlo techniques
- quadratic programming