AT A GLANCE
What will you learn?
- Master core ML principles
- Develop model validation skills
- Learn neural network basics
- Apply ML to real problems
Prerequisites
Precalculus and some programming exeprience
ACCEPTING STUDENTS AGE 15+ (CURRENT 9 - GRADUATING 12TH GRADERS)
OPEN TO US RESIDENTS AND INTERNATIONAL STUDENTS
TWO-WEEK SUMMER PROGRAM MONDAY–FRIDAY, 9 AM-4 PM
TUITION REQUIRED
Located at NYU Tandon School of Engineering, Brooklyn, NY
Important Dates
Application Deadline: May 15
Note:
-- International Students requiring visas must complete their applications at least 8 weeks prior their desired program start date to allow sufficient time for the visa process
-- All applications will be reviewed on a rolling basis
-- Decisions are typically released within 3-4 weeks of application submission. Some exceptions apply.
Session 1:
Session 1 Starts - June 15
Session 1 Ends - June 27
Session 1 Orientation - June 12 @ 4pm EST(Via Zoom)
Session 2:
Session 2 Starts - July 6
Session 2 Ends - July 17
Session 2 Orientation - July 2 @ 4pm EST(Via Zoom)
Session 3:
Session 3 Starts - July 20
Session 3 Ends - July 31
Session 3 Orientation - July 17 @ 4pm EST(Via Zoom)
Expenses
TOTAL COST: $3,180
Course Tuition - $2,880
Materials - $50
NYU Events - $100 ($50 per week)
Application Fee - $50
NYU Service Fee - $100
Additional Cost:
Housing Fee $654.00 ($327 per week)*
Mandatory Meal plan with housing - 30 Dining Dollars included with meal packages per week ($229 - 12 meals)
Note: International Students require a student visa to attend our programs.
PROGRAM DESCRIPTION
ML: NYU Tandon's summer program for Machine Learning introduces students to computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning and artificial intelligence. Lessons cover fundamental knowledge behind video and image recognition technologies; interactive voice controls for homes; autonomous vehicles; real-time monitoring and traffic control; cutting-edge diagnostic medical technologies, and other technologies that are a part of our daily lives.
