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
    October 23, 2018
  • Prerequisites
    Python programming & Mathematics

    See prerequisites in detail

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

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.

Learn now, pay later

To make it even easier to learn, you can finance your Nanodegree through Affirm.

  • Easy monthly payments

    As low as $84 per month at 0% APR.

    Learn more.

  • Flexible Payments

    Pay your monthly bill using a bank transfer, check, or debit card.

Get Started Now

Term 1

Quantitative Trading

$999
OR
as low as
$84
START TERM 1 NOW
Learn the basics of quantitative analysis, and work on real-world projects from trading strategies to portfolio optimization.

Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?

    Demand for quantitative talent is growing at incredible rates. Data-driven traders are now responsible for more than 30% of all US stock trades by investors (or about $1 trillion USD worth of investments, up from 14% in 2013). This scenario represents incredible opportunity for individuals eager to apply cutting-edge technologies to trading and finance.

    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 trading and quantitative finance, this program will give you the opportunity to build an impressive portfolio of real-world projects. You will build financial models on real data, and work on your own trading strategies using natural language processing, recurrent neural networks, and random forests. You’ll also enjoy direct access to leading experts in the field, and get personalized project and career support.

    To create the curriculum for this program, we collaborated with WorldQuant, a global quantitative asset management firm, as well as top industry professionals with prior experience at JPMorgan, Morgan Stanley, Millennium Management, and more. If your goal is to learn from the leaders in the field, and to master the most valuable and in-demand skills, this program is an ideal choice for you.

  • What jobs will this program prepare me for?

    Graduates of this program will have the quantitative skills needed to be extremely valuable across many functions, and in many roles at hedge funds, investment banks, and FinTech startups.

    Specific roles include:

    • Quantitative analyst
    • Quantitative researcher
    • Investment analyst
    • Data intelligence analyst
    • Risk analyst
    • Desk quant
    • Desk strategist
    • Financial engineer
    • Financial data scientist
  • How do I know if this program is right for me?

    If you’re a programmer, data analyst or someone with a strong quantitative background, this program offers you the ideal path to pursue a quant trading career and prepares you to seek out data science jobs across the financial ecosystem.

    ENROLLMENT AND ADMISSION
  • Do I need to apply? What are the admission criteria?

    No. This Nanodegree program accepts all applicants regardless of experience and specific background.

  • What are the prerequisites for enrollment?

    The Artificial Intelligence for Trading Nanodegree program is designed for students with intermediate experience programming with Python and familiarity with statistics, linear algebra and calculus. In order to successfully complete this program, you should meet the following prerequisites:

    Python programming

    • Basic data structures
    • Basic Numpy

    Statistics

    • Mean, median, mode
    • Variance, standard deviation
    • Random variables, independence
    • Distributions, normal distribution
    • T-test, p-value, statistical significance

    Calculus and linear algebra

    • Integrals and derivatives
    • Linear combination, independence
    • Matrix operations
    • Eigenvectors, eigenvalues
  • If I do not meet the requirements to enroll, what should I do?

    We have a number of short free courses that can help you prepare, including:

    TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?

    The Artificial Intelligence for Trading Nanodegree program is composed of two (2) three (3)-month terms. Each term has fixed start and end dates.

    Students must complete both terms and all projects to graduate from the Nanodegree program. Each project will be reviewed by the Udacity reviewer network. Feedback will be provided, and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the period noted in the Term length section above.

    See the Terms of Use and FAQs for other policies around the terms of access to our Nanodegree programs.

  • Can I switch my start date? Can I get a refund?

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

  • How much does the program cost?

    The full program consists of two (2) three (3)-month long term(s) at a cost of USD $999 per term, for a total program cost of USD $1998.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?

    To successfully complete this Nanodegree program, you’ll need to be able to download and run Python 3.7.

Artificial Intelligence for Trading