Giuseppe Ateniese
Dr. Ateniese is a leader in security applications of machine learning. He received the CAREER award from NSF for his work in privacy and security.
Data Science Ph.D. Program
Gain the knowledge necessary to apply advances in Artificial Intelligence and Machine Learning to areas of business and science in practical ways in the data science Ph.D. program at Stevens.
Data scientists with a deep knowledge of the theories, techniques and applications related to big data and artificial intelligence are in high demand. The Stevens data science Ph.D. program prepares students for research careers in academia or industry that involve methods and systems for extracting insights from rich data sets in financial services and life sciences.
The data science Ph.D. program is an interdisciplinary program of the Schaefer School of Engineering and Science and the School of Business. This program was developed with input from industry partners with emerging A.I. concepts like machine learning and language processing in mind to ensure mastery of the most important principles in this discipline.
The program has a strong practical research component, so students will need the intellectual curiosity to do important research alongside Stevens faculty who are breaking new ground in theory and application of data science.
Learn more about research in the Department of Computer Science →
Data Science faculty
As a Data Science student, you'll work closely with faculty whose research is responsible for important breakthroughs in artificial intelligence, deep learning, computational intelligence and more.
David Belanger
A former chief scientist at AT&T Labs, Dr. Belanger has earned more than 30 patents related to data science and business analytics.
Germán Creamer
A highly cited business researcher investigating applications of machine learning and social network algorithms to solve finance problems.
Ionut Florescu
Dr. Florescu is an expert in creating stochastic models for practical application. He leads an international conference on high frequency in finance.
Ted Lappas
An expert in data mining and deep learning, Dr. Lappas is an authority in the business impact of fake reviews in social media.
Jeffrey Nickerson
Dr. Nickerson has won many grants from NSF to explore crowd creativity, collective intelligence and information systems design.
Antonio Nicolosi
Dr. Nicolosi is an accomplished researcher whose work in cryptography and security in distributed systems is breaking new ground in data science.
Steve Yang
Dr. Yang's work in systemic risk, fraud detection and behavioral finance is changing how companies operate in the finance space.