
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.
Artificial intelligence is the hottest topic in business and science, yet there’s a shortage of thought leaders capable of studying, understanding and applying advances in A.I. and machine learning in practical ways.
At Stevens, the interdisciplinary Ph.D. in Data Science prepares inquisitive students to become pioneers in this space through a rigorous curriculum emphasizing mathematical and statistical modeling, machine learning, computational systems and data management. The program is administered through both the Schaefer School of Engineering and Science and the School of Business at Stevens, ensuring a diverse curriculum that responds to demand for data scientists with extensive knowledge of the theories, techniques and applications associated with data and artificial intelligence. Graduates become research leaders in academia or industry, where they lead the organization’s forays through the data revolution and into the age of A.I. and machine learning.
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.
A former chief scientist at AT&T Labs, Dr. Belanger has earned more than 30 patents related to data science and business analytics.
A highly cited business researcher investigating applications of machine learning and social network algorithms to solve finance problems.
Dr. Florescu is an expert in creating stochastic models for practical application. He leads an international conference on high frequency in finance.
An expert in data mining and deep learning, Dr. Lappas is an authority in the business impact of fake reviews in social media.
Dr. Nickerson has won many grants from NSF to explore crowd creativity, collective intelligence and information systems design.
Dr. Nicolosi is an accomplished researcher whose work in cryptography and security in distributed systems is breaking new ground in data science.
Dr. Yang's work in systemic risk, fraud detection and behavioral finance is changing how companies operate in the finance space.
Students in the Data Science program choose one of the available concentrations or, working closely with their faculty advisor, create a custom concentration of their own.
The data-driven disruption in finance continues to be the story of the industry. Topics covered in this concentration are focused on creating opportunities in robo-advising, financial innovation, portfolio optimization, fraud detection and beyond through careful study of topics like data visualization and analytics, machine learning, natural language processing and text mining.
The use of data science techniques is increasingly helping researchers unlock new discoveries in the traditional sciences. This concentration prepares you to solve problems through analysis of experimental, drug performance and patient data and techniques such as statistical modeling, data management and machine learning.
To be a thought leader in data science, you must be an excellent researcher. At Stevens, you'll work in high-tech labs and with faculty in world-renowned centers to prepare you for career success.
The Hanlon Financial Systems Center's two labs offer unrivaled financial analytics and data visualization capabilities.
The Stevens Institute for Artificial Intelligence is the hub connecting dozens of researchers investigating A.I. and machine learning.
The Health and A.I. Laboratory aims to improve human health through the development of artificial intelligence methods.
Work at the Computational Systems Biology Lab involves modeling biological systems in the study of complex systems with diverse elements.