Students gain hands-on experience with machine learning algorithms and real-world applications, guided by NYU Tandon faculty and graduate student mentors.
The NYU Tandon School of Engineering Machine Learning Summer Program is a two-week immersive experience designed for high school students. Participants delve into the foundational principles of machine learning and artificial intelligence, covering essential computer science, data analysis, mathematical techniques, and logic. The curriculum explores core ML concepts such as model development through cross-validation, linear regressions, and neural networks. Students gain hands-on experience by running machine learning algorithms, often using Python, and are provided with datasets and libraries to build their own projects. The program emphasizes engineering problem-solving and applying these techniques to real-world challenges, including video and image recognition, interactive voice controls, autonomous vehicles, and diagnostic medical technologies. Daily assignments and weekly projects provide practical application of learned concepts, culminating in a mini-group project.
A typical day involves lectures from 9 a.m. to 4 p.m., followed by daily assignments and dedicated time for working on weekly projects, either individually or collaboratively.
This program is ideal for ambitious high school students (grades 9-11) with a minimum 3.0 GPA, who have completed Algebra 2 and have some programming experience, and are looking to build a strong foundation in machine learning and AI.
NYU Tandon's Brooklyn campus
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