“Audience participation is as important to the learning experience as the instructor. I find the participants at QuantInsti’s courses highly motivated and many came prepared with insightful questions. This made for a great experience for all.”
Dr. Ernest P. Chan
Hedge Fund Manager, QTS Capital Management, LLC.
Hi, I’m Vikash
EPAT® delivered a holistic framework to quantitative modeling and trading. Helpful faculty, a small batch size and excellent peer group were other positives.
Hi, I’m Hiren
Excellent course and I myself really came to know more about Algo trading, algorithms and HFT.
Hi, I’m Mario
EPAT® has been one of the most rewarding formative experiences I have had!
Industry Experts, Academics and Practitioners as faculty
High value for money and opportunity to learn along with your full-time job
Live interaction with faculty, with 7-days a week support team
Learning by Doing, specialize in a strategy/asset class through project work
Career cell helps participants to get placement in right kind of roles in the Quant and Finance industry
Algo/Quant and manual traders get exposed to various types of strategy paradigms in Algorithmic & Quantitative Trading
Learn to connect with brokers that offer automation and run your strategies in paper/live trading environment
Unleash the entrepreneur in you and ride the markets. Learn from the practitioners how to setup your own desk
Use your programming and problem solving skills in a challenging role as a quant-trader-coder
QuantInsti offers interactive online learning experience including live lectures, tutorials, problem solving interactions with faculty. Our Algorithmic Trading courses provide 24-hour access to all recorded lectures and program materials, accessible through computer.
The learning management system will track your learning and provides immediate feedback on your progress. A dedicated learning manager will regularly discuss your progress over call and chat to understand your queries and progress. Most tools and softwares used in the programme are open sourced and available for free to allow students to continue learning post course completion.
Acquire the knowledge, tools & techniques used by traders in the real world
The EPAT® faculty is an acclaimed team of academicians and professionals who are all specialists in the field
Our career services and job resources become available to you the moment you begin the program and last throughout your professional career
We promise lifelong learning to students post EPAT® completion, which comprise of:
QuantInsti’s Algorithmic & Quantitative Trading course, Executive Programme in Algorithmic Trading (EPAT®) is beneficial for professionals working in or aspiring to move into either buy-side or sell-side of the businesses that involve use of Quantitative Trading tools & techniques.
If you plan to take up EPAT®, it would be most beneficial to you if you have a high level of intellectual curiosity, a strong interest in financial markets & possess strong analytical skills. Although there is no specific degree requirements, most participants come from backgrounds involving mathematics, statistics, core sciences, computer science, engineering, operations, research, business administration, finance & economics. You’d need to have familiarity with statistics, excel, python and financial markets.
We have four batches in a year. Duration of the programme is 6 months. The tentative programme start dates are:
|44||5 Oct 2019|
|45||11 Jan 2020|
|46||4 Apr 2020|
|47||27 Jun 2020|
|Tier||Applicable till||Global Participants||Indian Residents*|
|Super Early Bird Enrollment Fees||31 Jan 2020||4,799||1,89,999|
|Early Enrollment Fees||29 Feb 2020||5,199||2,09,990|
|Standard Enrollment Fees||4 Apr 2020||5,999||2,40,990|
* Additional 18% GST applicable for Resident Indian Participants
EPAT® programme comes with Financial Assistance for the deserving candidates
* T&C apply
Before admission, we will facilitate a one-on-one counselling session that will focus on understanding the strengths and weaknesses of the participant. These sessions do not necessarily decide the participants’ eligibility but help counsellors assist them with informed guidance prior to enrollment.