NEW!
Nanodegree Program

Artificial Intelligence for Trading

Complete real-world projects designed by industry experts, covering topics from asset management to trading signal generation. Master AI algorithms for trading, and build your career-ready portfolio.

Enrollment Closing In

  • Time
    2 Three-Month Terms

    Study 10 hrs/week and complete in 6 months

  • Classroom Opens
    March 5, 2019
  • Prerequisites
    Python programming & Mathematics

    See detailed requirements.

Built in partnership with
  • WorldQuant
WorldQuant is committed to bringing opportunity to talent globally. This Nanodegree program is like a laser, it is focused exactly on what you need today to succeed.
— Igor Tulchinsky, Founder, Chairman and CEO, WorldQuant

Dream big. We’ll get you there!

Whatever your goals, Udacity is dedicated to helping you make them happen. Master the latest skills, build amazing projects, and advance your career. With our unrivaled support and personalized attention we’ll do everything we can to make sure you succeed. We’ve got the support you need to turn your dreams into reality.
  • Dedicated personal mentor

    Overcome barriers to your learning with a knowledgeable mentor who can answer your questions and keep you focused on your goals.

  • Weekly live sessions

    Get the close attention you need and interact with your classmates in regular live Q&A sessions and webinars.

  • Personalized learning plan

    Accelerate your learning and beat your goals with a learning plan designed around your life.

Why Take This Nanodegree Program?

In this program, you’ll analyze real data and build financial models for trading. Whether you want to pursue a new job in finance, launch yourself on the path to a quant trading career, or master the latest AI applications in quantitative finance, this program offers you the opportunity to master valuable data and AI skills.


Why Take This Nanodegree Program?

Data-driven investments have doubled in 5 years; to $1tn in 2018.

Learn from top finance professionals
Learn from top finance professionals

Learn from top finance professionals

We collaborated with WorldQuant and top industry professionals with prior experience at JPMorgan, Morgan Stanley, and Millennium Management to ensure you learn the latest AI applications in trading and quantitative finance.

Work on your own trading strategies

Work on your own trading strategies

Advance your finance knowledge, and build a strong portfolio of real-world projects. Build financial models with real data, and learn to generate trading signals using natural language processing, recurrent neural networks, and random forests.

Get personalized feedback and support from mentors
Get personalized feedback and support from mentors

Get personalized feedback and support from mentors

Your assigned in-classroom mentor will provide feedback on your projects and support you throughout your learning journey. You'll also be part of a supportive peer community.

Office hours with industry experts

Office hours with industry experts

Connect with finance professionals who have worked at top hedge funds, investment banks, and Fintech startups, who can provide you with actionable insights and guidance.

In Collaboration with Top Industry Experts

Jonathan Larkin
Jonathan Larkin

Jonathan has previously held leadership roles such as Global Head of Equities at Millennium Management and Co-Head of Americas Equity Derivatives Trading at JPMorgan.

Kendall Lo
Kendall Lo

Kendall has been a quant trader and researcher at Citadel, Millennium Partners and JPMorgan. He has an MS in Financial Math from Stanford University.

Murat Ahmed
Murat Ahmed

Murat is a quant researcher at Radix Trading and has worked for JP Morgan and Citadel. He has a PhD in Statistics from Stanford University.

Justin Sheetz
Justin Sheetz

Justin has been an investment strategist in the Scientific Active Equity Group at BlackRock, and a quant research analyst at MUFG/HighMark Capital.

Harry Mendell
Harry Mendell

Harry has worked on algorithmic trading programs and risk management at Morgan Stanley and Apogee Fund Management, and as CTO at Carlyle Blue Wave.

Learn with the best

Cindy Lin
Cindy Lin

Curriculum Lead

Cindy is a quantitative analyst with experience working for financial institutions such as Bank of America Merrill Lynch, Morgan Stanley, and Ping An Securities. She has an MS in Computational Finance from Carnegie Mellon University.

Arpan Chakraborty
Arpan Chakraborty

Instructor

Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.

Elizabeth Otto Hamel
Elizabeth Otto Hamel

Instructor

Elizabeth received her PhD in Applied Physics from Stanford University, where she used optical and analytical techniques to study activity patterns of large ensembles of neurons. She formerly taught data science at The Data Incubator.

Eddy Shyu
Eddy Shyu

Instructor

Eddy has worked at BlackRock, Thomson Reuters, and Morgan Stanley, and has an MS in Financial Engineering from HEC Lausanne. Eddy taught data analytics at UC Berkeley and contributed to Udacity’s Self-Driving Car program.

Brok Bucholtz
Brok Bucholtz

Instructor

Brok has a background of over five years of software engineering experience from companies like Optimal Blue. Brok has built Udacity projects for the Self Driving Car, Deep Learning, and AI Nanodegree programs.

What You Will Learn

Download Syllabus
TERM 1

Quantitative Trading

Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. Use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.

Learn quantitative analysis basics, and work on real-world projects from trading strategies to portfolio optimization.

See details

3 months to complete

TERM 2

AI Algorithms in Trading

Learn how to analyze alternative data and use machine learning to generate trading signals. Run a backtest to evaluate and combine top performing signals.

Learn to use machine learning methods to analyze alternative data, generate signals, and combine them.

See details

3 months to complete

Advance your Career

This program was built in collaboration with WorldQuant, and top professionals from leading financial institutions, to ensure your long-term success in quantitative finance. The skills you learn will prepare you for a wide range of quant finance jobs in hedge funds, investment banks, and FinTech startups.Designed to prepare you for career success in quantitative finance.

Hiring PartnersMeet Top Companies

Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.Create your portfolio and open up a world of opportunities.

Succeed with RecruitersSucceed with Recruiters

Work with experienced career professionals to improve your job search, and impress recruiters. Get valuable feedback on your LinkedIn profile and your professional brand.Work with career professionals to impress recruiters.

Expand your Global Network Expand your Global Network

40,000+ highly-skilled grads make up your new career community. Ready to collaborate, share referrals, or hire your own team? The Udacity Alumni Network is here for you!Connect with our global community to grow your career.

Get Started Now

Term 1
Quantitative Trading
$999 USD

total

Learn the basics of quantitative analysis, and work on real-world projects from trading strategies to portfolio optimization.

Term 2
AI Algorithms in Trading
$999 USD

total

Learn how to analyze alternative data, use machine learning to generate signals, and backtest top strategies.

Artificial Intelligence for Trading