Certificate in Quantitative Finance (CQF)

The Certificate in Quantitative Finance (CQF) delivered by Fitch Learning provides comprehensive training in financial engineering and machine learning. This 6-month program combines theoretical foundations with practical implementation through online, part-time study.

4.6

Instructors:

Dr. Paul Wilmot

Dr. Claus Huber

English

Course Start Date:
Coming Soon
Applications Deadline:
To be announced
Duration:
6 Months

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Overview

The Certificate in Quantitative Finance offers master's-level training in financial engineering and machine learning. The program combines cutting-edge theory with practical implementation through six comprehensive modules and optional primers.

Why MSc (Master of Science)?

This program distinguishes itself through its global recognition and industry relevance. Students benefit from world-renowned faculty, lifelong learning resources, and access to a 9,000+ alumni network.

What does this course have to offer?

Key Highlights

Live online lectures
Interactive sessions
Python labs
Tutorials
Project workshops
Math support
Career services

Who is this programme for?

Finance professionals
Economists
IT professionals
Engineers
Scientists
Business professionals

Minimum Eligibility

Finance or related field background
Strong mathematics and statistics foundation
Professional experience preferred

Who is the programme for?

The program features continuous assessment with theoretical and practical components. Successful completion leads to CQF designation and permanent access to Lifelong Learning library.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum spans six modules covering quantitative finance foundations, risk analysis, equities, data science, machine learning, and fixed income. Includes optional advanced electives.

There are 8 semesters in this course

The program progresses through foundational concepts to advanced applications. Key areas include stochastic calculus, portfolio theory, machine learning, and credit analysis. Features optional primers in mathematics, Python, and finance.

Optional Primers

Module 1: Building Blocks of Quantitative Finance

Module 2: Quantitative Risk and Return

Module 3: Equities and Currencies

Module 4: Data Science and Machine Learning I

Module 5: Data Science and Machine Learning II

Module 6: Fixed Income and Credit

Advanced Electives

Programme Length

6 months with online, part-time study format. Program combines live lectures with interactive support sessions and practical workshops.

Tuition Fee

Program fee details available upon request. Contact program advisors for current fees and payment options.

Fee Structure

Payment options

Learning Experience

Students experience interactive learning through live online sessions with world-renowned practitioners and academics. The program includes extensive support options and practical implementation focus.

University Experience

The learning environment combines theoretical knowledge with practical application. Students gain access to CQF Institute resources, career services, and ongoing learning opportunities.

About the University

The Certificate in Quantitative Finance (CQF) is a comprehensive six-month online program teaching practical quantitative finance techniques and machine learning applications in finance. The program allows up to three years for completion and features a cutting-edge curriculum that is updated quarterly to reflect industry needs. The CQF combines theoretical knowledge with practical implementation, covering topics including risk and return, equities, data science, machine learning, fixed income, and credit. The program is delivered through two live online lectures weekly and includes Python programming labs, tutorials, and a final project.

8000

alumni count

6 months

program duration

3_years

completion flexibility

Affiliation & Recognition

fitch learning

CQF

Bloomberg

Career services

The CQF program provides comprehensive career support through its extensive professional development resources. Students gain access to a global network of professionals and receive practical training that can be immediately applied in the workplace. The program includes project workshops, one-on-one faculty support, and discussion forums to enhance learning outcomes. The career development aspect is strengthened through the Lifelong Learning library, which enables professionals to stay competitive throughout their careers by accessing continuously updated content and networking opportunities

900

continuing education hours

100

masterclass hours

70

programming training hours

Top Recruiters

Course Start Date:
Coming Soon
Applications Deadline:
To be announced
Duration:
6 Months

₹ 0

Add to compare

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Dr. Paul Wilmot

CQF Founder

Paul is the CQF Founder and an internationally renowned quant finance expert, with more than 200 articles published in leading journals. He has also written several internationally acclaimed books.

Dr. Claus Huber

Specialism: Machine Learning

Claus is the Head of Quantitative Modeling & Analytics at Helvetia Insurance and founder of Rodex Risk Advisers LLC.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Dr. Paul Wilmot

CQF Founder

Paul is the CQF Founder and an internationally renowned quant finance expert, with more than 200 articles published in leading journals. He has also written several internationally acclaimed books.

Dr. Claus Huber

Specialism: Machine Learning

Claus is the Head of Quantitative Modeling & Analytics at Helvetia Insurance and founder of Rodex Risk Advisers LLC.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

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