Data Science Doctoral Program
DegreeDoctor of Philosophy
Gain in-demand skills in emerging areas like artificial intelligence, machine learning and language processing in a Ph.D. program designed with input from industry leaders.
An interdisciplinary degree program of the Schaefer School of Engineering and Science and the Stevens School of Business, the data science Ph.D. curriculum drives students to master the bedrock principles, methods and systems for extracting insights from rich data sets. Then, you’ll apply those theories, techniques and applications in practical research alongside Stevens faculty who are working at the forefront of the data science field. Our graduates go on to pursue research careers in academia and secure important positions in industries like business, financial services and life sciences.
The Department of Computer Science offers dynamic opportunities to explore leading-edge research within a close community of faculty mentors. You'll be able to study under a faculty mentor in the area that you find most exciting:
Theoretical underpinnings of data science, including machine learning and artificial intelligence
Applications of data science to financial services
Applications of data science to the life sciences
Computer Science Research
The computer science department at Stevens offers you a maximum amount of flexibility to pursue research opportunities in cutting-edge, competitive areas of exploration like secure systems, machine learning, cryptography and visual computing. You’ll work with recognized leaders in the field, gain exposure to top industry labs and learn sought-after principles that will help propel your career. Learn more about research in the Department of Computer Science.
The Stevens Advantage
Just 15 minutes away from the center of Manhattan, Stevens sits near the heart of one of the world’s top technology hubs. This proximity gives Stevens students exemplary recruitment opportunities with some of the biggest names in business and technology.
More Advantages to Our Program
Cross-disciplinary curriculum and research opportunities
Study under well-known researcher faculty
Highly collaborative environment
Opportunity for industry collaborations
Access to leading research universities and national laboratories in the New York City area
Areas of Focus
Mathematical and statistical modelling including multivariate analytics, financial time series and dynamic programming techniques
Machine learning and artificial intelligence applications for statistical learning and financial analytics
Computational systems, exploring advanced algorithm design, distributed systems and cloud technologies
Data management at scale, involving a deeper dive into data technologies, mobile systems and data management