All times are listed in Eastern Time unless otherwise specified.

June 2022
June 27–July 1
Monday to Friday 10–4pm
$1,395
30 Hours
NYC or Live Online

Learn the most widely-used program in the world! This program consists of 10 three-hour sessions in which students explore both technical skills and finance theory.  This bootcamp is ideal for students interested in finance, business, real estate, entrepreneurship, and many other related fields. 

July 2022
July 18–August 11
Weekdays 10–4pm
$3,990
100 Hours
NYC or Live Online

Learn graphic and web design this summer in NYC. In this 4-week course, high school students learn Adobe applications, graphic design theory, and web design with HTML & CSS.

July 18–28
Monday to Friday 10–4pm
$2,495
50 Hours
NYC or Live Online

Learn to design websites with Sketch and code the final product with HTML & CSS. In this summer course, high school students learn the essential skills to start designing and developing their own websites.

July 25–August 18
Weekdays 10–4pm
$3,990
95 Hours
NYC or Live Online

In this 4-week intensive bootcamp, you'll learn to program using Java and Python, two of the most popular and universally-applicable languages used by software developers today! This course will give any student a head-start in university-level coding courses.

July 25–August 4
Monday to Friday 10–4pm
$2,495
50 Hours
NYC or Live Online

This course will prepare you to excel as a programmer throughout college and beyond! Beginners will become advanced coders through our fast-moving curriculum and project-based approach to learning.  

August 2022
August 1–11
Monday to Friday 10–4pm
$2,495
50 Hours
NYC or Live Online

Learn the graphic design theory and the essential Adobe applications, including Photoshop, InDesign, and Illustrator. In this summer course in NYC, high school students work on real-world design projects.

August 8–18
Monday to Friday 10–4pm
$2,495
45 Hours
NYC or Live Online

Learn programming fundamentals & data science in Python in a 2-week computer summer camp. Gain an in-depth understanding of Python, data science, including inputting, graphing, and analyzing data.

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