QUANTITATIVE FINANCE
CERTIFICATE PROGRAM

+ 1000
ALUMNI AROUND THE GLOBE
78 %
HIRE RATE WITHIN THE FIRST YEAR
$ 86000
AVERAGE SALARY OF OUR GRADUATES

ABOUT
US

Our quantitative finance program provides graduates with a foundation in both mathematical and analytical skills to secure jobs in the finance industries geared towards quantitative finance positions. Our program lecturers include professionals working in the finance industry from over 10 companies. They provide in-depth knowledge of the industry as well as a large professional network for students to access. At the end of the course, lecturers teach interview skills in preparation for a professional recruiting company, specializing in the finance industry, to help students secure internships and jobs.

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OUR CURRICULUM​

  • PYTHON PROGRAMMING
  • STATISTICAL MODELS & PROBABILITY
  • APPLIED DATA SCIENCE & BIG DATA
  • SQL DATABASE PROGRAMMING
  • QUANTITATIVE FINANCE

COURSE DETAILS

This is an introductory Python course targeting students with zero or little experience in programming (Python in particular). The goal is to get started with the basics of Python programming and move on to more advanced Data Science and Analytics applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Bash command-line essentials
  • Python programming essentials
  • Data analytics libraries in Python
  • Object-oriented programming
  • Flask, Dash and webapp in Python
  • Cloud computing, an introduction
  • Introduction to Machine Learning

COURSE DETAILS

This is an introductory Statistics course targeting students with zero or little experience in Statistics and Probability Theory. The goal is to equip students with the basics of Statistics that will allow them to learn Data Science and Quantitative Finance applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Introduction to Probability Theory
  • Descriptive Statistics
  • Statistical Estimators
  • Hypothesis Testing
  • Regression Models
  • Time Series Models
  • Survival Analysis

COURSE DETAILS

Fundamentals of Data Science is a continuation of Python Programming. This intermediate-level course has the goal is to move on to more advanced Data Science and Analytics applications.

COURSE TOPICS

This is a high-level overview of the topics covered in the course:

  • Bash command-line essentials
  • Python programming essentials
  • Data analytics libraries in Python
  • Object-oriented programming
  • Flask, Dash and webapp in Python
  • Cloud computing, an introduction
  • Introduction to Machine Learning

COURSE DETAILS

Structured query language (SQL) is the language of databases. Whether you run reports or provide a dynamic website, you need to know SQL to add, delete, edit, and view records. Databases organize and collect your data, and the SQL language is the liaison between you and the data. This course provides a step-by-step overview and instructions that help you get started with the SQL language.

COURSE TOPICS

  • This is a high-level overview of the topics covered in the course:
  • Relational Database Management Systems with MySQL
  • Data Definition Language
    Modeling and designing of a database
  • Data Manipulation Language
  • Retrieving data from DB and Select statement
  • Joins and foreign key, Unions, Subqueries

COURSE OUTLINE

This is an introductory course to Financial Mathematics targeting students with zero or little experience in financial mathematics, but with a solid quantitative background. The goal is to understand how financial markets, derivative pricing and risk management work which will be a good start for to more advanced topics in mathematical finance areas.

COURSE TOPICS

  • This is a high-level overview of the topics covered in the course:
  • Discrete and continuous stochastic processes
  • Brownian motion and Ito’s Lemma
  • Risk-neutral measure
  • Pricing using binomial trees and Black-Scholes model
  • Risk Sensitivities
  • Financial instruments and trading strategies
  • Value at Risk (VaR)
  • Introduction to bonds, swaps and discount curves
  • Credit risk modelling

DR. MARKIYAN
SLOBODA

VP Of Capital Markets
BMO

AMARSINA
ESKANDARIFAR

Data scientist
Interac Corporation

DR. ALIREZA
HOJJATI

Genworth Financial
Data Scientist

HAMID
ELAHI

The University
of Western Ontario

YOUR TEAM

OUR RESULTS DRIVEN TRAINING MODELS

ALLOWS EACH STUDENT TO TAKE PART IN A FLEXIBLE PROGRAM TO GAIN THAT REAL WORLD EXPERIENCE THROUGH INDUSTRY BASED, TRAINING, PROJECTS & MORE.

01

ACCESS YOUR CLASS ANYWHERE

OUR LIVE ONLINE MODEL ALLOWS STUDENTS TO ACCESS THEIR INSTRUCTOR LED CLASSROOM FROM ANYWHERE IN THE WORLD

02

PART TIME & FULL TIME OPTIONS

FLEXIBLE CURRICULUM OPTIONS WITH LIVE ONLINE TRAINING FOR BOTH WORKING PROFESSIONALS AND THOSE WHO ARE NOT.

03

PROJECT-BASED CURRICULUM

PROJECT BASED CURRICULUM WITH THE GOAL OF SIMULATING THE REAL WORLD WORKING ENVIRONMENT TO CREATE PORTFOLIO CONTENT.

OUR
ALUMNI

UPCOMING SESSIONS

March 21, 2021 – June 30th, 2020

Full Time & Part Time

Application deadline: February 25th, 2021

June 15, 2021 – September 30th, 2020

Full Time & Part Time

Application deadline: February 25th, 2021

September 15, 2021 – December 30th, 2020

Full Time & Part Time

Application deadline: February 25th, 2021

FEES & PAYMENT OPTIONS

UPFRONT
PAYMENT

$2379 $1699
  • Upfront fee at the start of the program
  • 15% discount for upfront payments
  • Total Tuition: $1699 plus HST

MONTHLY
INSTALMENTS

$799 $499 / MONTH
  • Equal instalments due monthly
  • Up to 4 equal instalments
  • Total Tuition: $1999 plus HST

DEFERRED
PAYMENTS

$1499 $899
  • Upfront fee due at the start of the program
  • $2100 due upon securing employment
  • Total Tuition: $2999 plus HST

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  • Virtual consultation to cater a training plan specific per student
  • Learn about our current technical mentorship program and projects led by senior professionals
  • Find out how you can pay zero upfront fees to join
  • Receive tips and recommendations on courses and program options