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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
INR 45689	yes	MIT Cambridge

The programme is free for interested learners.
Students can add in a verified certificate by paying Rs. 45,689
You can complete payment through Visa, MasterCard and American Express cards or PayPal.
Additionally, enterprises can purchase training packages for their employees.

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

Mathematical skill

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

Computer Programmer

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

Understanding the laws of probability
Financial Mathematics and its common distributors
Asymptotics, CLT, LLN, and other characteristic functions

Methods of regression
Hypothesis tests and inferences from statistics
Econometric analysis
Time series tests

Forecasting and trading applications and strategies
Markov processes and its recursive computation
Bernoulli trials and Random walks
Linear time model series fundamentals (AR(p), GARCH(1,1), MA(q))
Properties of first passages

Understanding Ito calculus
Brownian motion and its properties
Risk management and derivative pricing applications
Discrete processes in continuous limits of time
Differential equations solving of finances

Explaining axioms
Linear space operations
Matrices of covariance and correlation
Pricing assets and its applications

Decision processes of Markov
Dynamic programming
Lagrange multipliers
Multivariate optimization
Quadratics programming
Constraints of inequity
Methods of variation
Applications in constructing portfolios
Algorithmic trading
Best execution

Quadratic programming
Techniques of Monte Carlo

Instructors

MIT Cambridge Frequently Asked Questions (FAQ's)

1: What are the benefits of pursuing EdX’s micromasters?

MicroMasters offered by EdX are graduate-level programmes. These courses focus on fundamentals in the mentioned fields and build a path to secure a master’s degree.

2: Can I take the course from anywhere?

Unfortunately, learners from Cuba, Iran, and Crimea areas of Ukraine cannot register for the course. The licenses from the U.S Office of Foreign Assets Control (OFAC) are not enough to facilitate learning.

3: What is the level of the course?

The Mathematical Methods for Quantitative Finance programme is an advanced level of study. Advisors, analysts, managers, and traders in the finance industry can benefit from the course as it included risk analysis and probability.

4: How much time would it take to complete the course?

The Mathematical Methods for Quantitative Finance programme is a 12-week duration course. Learners need to put in 10-14 hours of studying per week to complete the course on time.

5: Who offers the course?

The Mathematical Methods for Quantitative Finance programme by EdX is offered by MIT on the EdX platform. Senior lecturers deliver relevant content and real-time problem solving for candidates understanding.