6 months
Duration
2034 USD/full
2034 USD/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

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 with the Artificial Intelligence for Trading course at Udacity.

Visit the official programme website for more information

Overview

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 Artificial Intelligence for Trading course at Udacity , 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.

Career:

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

Programme Structure

Content:

  • Basic Quantitative Trading
  • Advanced Quantitative Trading
  • Stocks, Indices, and ETFs
  • Factor Investing and Alpha Research
  • Sentiment Analysis with Natural Language Processing
  • Advanced Natural Language Processing with Deep Learning

Key information

Duration

  • Part-time
    • 6 months

Start dates & application deadlines

Language

English

Delivered

Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This Nanodegree program accepts all applicants regardless of experience and specific background.
  • 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. 

Tuition Fee

To alway see correct tuition fees
  • International

    2034 USD/full
    Tuition Fee
    Based on the tuition of 2034 USD for the full programme during 6 months.
  • National

    2034 USD/full
    Tuition Fee
    Based on the tuition of 2034 USD for the full programme during 6 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Artificial Intelligence for Trading
-
Udacity

Wishlist

Go to your profile page to get personalised recommendations!

Tuition fee settings