Start here: Find Your ARPM Learning Path

ARPM is built for professionals and graduate students with strong mathematical foundations

Use this guide to find the best entry point for your learning journey.

I am a finance professional

Risk/asset manager, quant researcher, or data scientist with a strong mathematical background

You are exactly who ARPM was built for.

Recommended:

Step 1 of 3: Quant Bootcamp (free with the Quant Marathon)
Immersive 6-day overview of Advanced Data Science and Quantitative Finance
Step 2 of 3: Quant Marathon
Instructor-supported 12-month deep dive in Advanced Data Science and Quantitative Finance
Step 3 of 3: Certification (free with the Quant Marathon)
Validate your skills with a formal, industry-recognized credential

Background in mathematics, statistics, physics, electrical engineering, computer science, economics

You have the foundation needed to succeed in our programs.

Recommended:

Step 1 of 3: Mathematical Statistics for Finance (free for all, part of the Quant Marathon)
Mathematically intensive – helps you understand the why, not just the how, of advanced statistical techniques
Step 2 of 3: Lab
Comprehensive, self-paced resource covering theory, case studies, and integrated Python code
Step 3 of 3: Certification (free with the Lab)
Validate your mastery with an industry-recognized credential

MBA, CFA, FRM, Finance PhD, Coding bootcamp, or other non-quant pathways

ARPM may be too advanced – at least for now: our programs assume comfort with linear algebra, multivariate calculus, and probability theory.

Recommended, before joining ARPM:

Once you are confident with these fundamentals, come back and take the next step.

Mathematical rigor – not watered-down data science
Theory + practice – each statistical concept is tied to real-world financial modeling
Hands-on Python – notebooks, simulations, and visual content

About us Why ARPM? Who is ARPM for?

Clients and partners Corporate program Academia program