Machine Learning | NYU Tandon School of Engineering

Machine Learning

Learn the systems, tools, and logic behind machine learning and AI that influence our daily lives.


students working at laptops

Update:

Machine Learning will be offered in-person for summer 2022. We will remain flexible in our response to developments related to COVID-19 and plans can of course change. The health and safety of students, faculty, staff, and our visitors is NYU's first priority, and you can read about the University's responses and reopening. If we are unable to conduct this program on campus as planned, changes to program format will be communicated promptly.

The total cost for tuition is $2,100 for approximately 50 instructional hours (scholarships and financial aid are not available.)


About

NYU Tandon's Summer Program for Machine Learning is a two-week summer program that introduces high school students to the computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning (ML) and artificial intelligence (AI). People are experiencing new and always improving applications of these fields every day: in video and image recognition technologies; interactive voice controls for homes; autonomous vehicles; real-time monitoring and traffic control; cutting-edge diagnostic medical technologies; and in ever more aspects of our daily lives.

student and teacher coding This program is overseen by faculty from the Electrical and Computer Engineering and Mechanical Engineering departments and their graduate students. It offers a unique opportunity to learn directly from some of today's most innovative researchers in the field.  Students will learn the core principles in machine learning such as model development through cross validation, linear regressions, and neural networks. They will develop an understanding of how logic and mathematics are applied both to "teach" a computer to perform specific tasks on its own and to improve continuously at doing so along the way.

The program is suited for academically strong students who have an interest in computer and data science and the ways in which they are used in society to develop new capabilities, services, and products. 


Syllabus & Curriculum

Students will learn the art and science of Machine Learning from the foundational mathematics to state-of-the-art models. This theory is brought to life by daily assignments and weekly projects that require programmatic implementation of machine learning algorithms. A strong emphasis is put on students learning the principles of engineering problem solving, and how these techniques can be used to tackle societal challenges. Students are exposed to higher levels of mathematics, computer and data-science, and electrical engineering in relation to machine learning. They complete the course with the confidence to explore these topics further and apply them to other areas of interest themselves.

classroom of students using laptops

Learning Outcomes

By the end of the program, students should have:

1. An understanding of the basic principles of AI and machine learning and how this can be used to tackle real world problems

2. Gained useful skills to formulate and solve machine learning problems 

3. Hands-on experience in programming to solve machine learning problems (data analysis, use of machine learning algorithms, analysis of results, etc



Who Can Apply?

  • High school students who have successfully completed Algebra 2 or equivalent and have had some programming experience in any language
  • Academically prepared, highly motivated students who are willing to take initiative and have achieved a minimum 3.0 GPA or equivalent
  • Applicants with a passion for science, technology, engineering, and math

*International students are welcome to apply but should be aware they are required to submit proof of English language proficiency. For more information, check our Informational Page.  


Program Details & Materials

Summer Sessions

Choose one of the following sessions when you apply *

  • Session 1: June 21, 2022 - July 1, 2022
  • Session 2: July 11, 2022 - July 22, 2022  
  • Session 3: August 1, 2022 - August 12, 2022 (exclusively online)

*Orientation for all sessions will be the Thursday before at 3pm.

Applications accepted on rolling basis, preferred May 16th deadline. 

Program Costs

  • Tuition: $2,000 + $100 Program Fee (special events and activities) per two-week session.
  • Housing is available at an additional cost of $506 for 2 weeks (You will need to complete a separate application for housing after you apply to the program. This will be sent to you in an email.)
    • Note: A $500 deposit is required to hold your placement in housing.
  • Meal plan is available at additional cost of $360 (10 meals/week for two weeks) and is required with housing.

Materials

Access to a computer and a good internet connection are the only requirements to participate in the program. All the material will be hosted online and easily accessible from a web browser and any additional software tool will be made freely available to the students.

students giving a presentation

Refund Policy

Tuition deposit is non-refundable. 

Questions? Check out our Tandon Summer Programs Informational Page, our FAQ below, or contact us at k12.stem@nyu.edu or 646.997.3524


FAQs

Program Questions

You must have some experience with a coding language in addition to completing Algebra 2 or equivalent. 


The GPA requirement is a minimum 3.0 or equivalent. 


Applications are accepted on a rolling basis; preferred May 31st deadline. 


Our programs are overseen by Tandon faculty, and we recruit current engineering and computer science students to serve alongside these experts as teachers and mentors.  Every classroom will have a minimum of one graduate student instructor, and at least one additional instructor will be assigned to each class of (maximum) 24 students.   


For additional information check out our helpful Tandon Summer Programs Informational Page.


Summer 2021 Application (Now Closed)