M.S. in Artificial Intelligence

At the 2025 IEEE Integrated STEM Education Conference at Princeton University in March, Katz School researchers presented a study, “Automatic Teaching Platform on Vision Language Retrieval Augmented Generation (VL-RAG),” which introduces an AI-powered teaching system that integrates visual learning with dynamic, interactive content to enhance student comprehension and engagement.

Read the story in the Katz School blog.

Researchers in the Katz School’s Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making in dynamic, uncertain environments—to probe consumer habits.

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Imagine a future where streaming videos, video calls or surveillance footage look flawless, no matter the network conditions or quality variations. That’s the goal of a recent Katz School study, which will be presented at the 2025 IEEE Conference in January.

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Dr. David Sweet, an industry professor in the Katz School’s Graduate Department of Computer Science and Engineering, has developed a method for improving how computers optimize complex tasks.

Read the story in the Katz School blog.

The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.

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A team of researchers presented two significant advancements in data science, particularly in the application of deep learning and federated learning to medical research, at the 2024 Joint Statistical Meetings conference in Portland, Ore., in August.

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Dr. Honggang Wang's project aims to bridge a significant gap in cybersecurity education and research specific to mHealth, a field at the intersection of healthcare and information technology.

Read the entire story in the Katz School blog.

Katz School researchers have designed a mobile app using AI technology that analyzes mammogram images and provides real-time diagnostic predictions, all from the convenience of a smartphone. 

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Researchers have developed a series of algorithms using Siamese networks, a type of artificial intelligence, to better identify and track the body movements of stroke patients in order to assist in patient treatment and recovery. 

Read about the story in the Katz School blog.

Researchers have developed a method using a powerful technology to remove unwanted noise from the audio recordings of bird sounds. The method, called ViTVS, uses an image processing technology to divide audio signals into distinct parts, or segments, for isolating clean bird sounds from a noisy background.

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Dr. Honggang Wang, chair of the Department of Computer Science and Engineering, received a $600,000 grant to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data.

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Manish Kumar Thota, who is pursuing a master’s degree in artificial intelligence, is developing a machine-learning chatbot that can assist students academically. His VQA model, which he refers to as a digital brain, understands both images and questions and responds the way your most knowledgeable professor would.

Read the entire story in the Katz blog.

Manish Kumar Thota is the recipient of Yeshiva University’s Sacks Impact Graduate Fellowship in Ethics and Entrepreneurship for his proposed work on developing an AI chatbot that utilizes advanced computer vision and natural language processing to assist with students’ academic work.

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Imagine someone talking in a video conference while a piece of music is playing in the background. Besides being distracting, the music makes it hard for you to understand the speaker when you’re listening afterward to the recording.

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David Sweet, who has written a new book called Experimentation for Engineers, says social media engineers are working behind the scenes to test new features to optimize an objective for improving their apps' user experience, boosting ad placement or generating more revenue.

Read the entire story story in the Katz blog.

An interdisciplinary team of Katz School graduate students has built a machine learning model that utilizes satellite images to refine the spatial resolution of climate change forecasts.

Read the story in the Katz blog.

An interdisciplinary team of Katz School researchers is investigating the potential for wearable devices connected to the internet to facilitate the rehabilitation of stroke patients who have lost mobility in their arms.

Read the entire story in the Katz blog.

In this culminating requirement, you’ll work alongside AI faculty to design and implement a specialized project. It’s your opportunity to explore questions that you are deeply curious about, tackle problems that matter to you most—and deliver tangible results. 

Capstone projects can take the form of research, development or an internship: 

1. Research—conduct impactful research with guidance from senior faculty mentors and complete your thesis.
2. Development—build and deploy a new model or proof of concept technology.
3. Internship—spend a year working alongside AI professionals to address organizational needs in a top company or startup. 

Check out the AI curriculum