Your starting point
Your background is unique. Your starting point should be, too. Find your way into Machine Learning and Quantitative Finance with ARPM.
Choose your next step
Start with the path that best describes where you are today.
Risk/asset manager, quant researcher, or data scientist with a strong mathematical background? You are exactly who ARPM was built for.
Step 1 of 2 · 6 days
An immersive overview of Machine Learning and Quantitative Finance.
Step 2 of 2 · 5+5 months
An instructor-supported deep dive in Machine Learning and Quantitative Finance.
A background in mathematics, statistics, physics, electrical engineering, computer science, or economics gives you the foundation to succeed.
Step 1 of 2 · Free for all
Understand the why, not just the how, of advanced statistical techniques. Mathematically intensive and part of the Certification.
Step 2 of 2 · Self-paced
Explore a comprehensive resource covering theory, case studies, and integrated Python code.
Coming from a non-STEM undergraduate degree or another non-quant pathway? ARPM may be too advanced for now. Start by building the mathematical foundations our programs assume.
Once you are confident with these fundamentals, our advanced Mathematics Primer will consolidate your knowledge and prepare you for a deeper dive.
The ARPM approach
Build a rigorous understanding of the mathematics behind data science.
Connect statistical concepts to real-world financial modeling.
Put ideas into practice with notebooks, simulations, and visual content.
We will help you assess whether ARPM is the right fit and find your starting point.