Data Science Doctoral Program

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

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

The Stevens Advantage: Widen Your Career Options

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.

Learn more about what makes graduate education from Stevens a unique experience:

• Graduate Cooperative Education Program: Available with two tracks, your co-op experience can serve as a starting point for a research project or augment your on-campus research with complimentary experience.

• International Student Experience: Tap into our expanding worldwide network of research, academic and alumni partners and mentor with our expert faculty in a number of federally-designated STEM degree programs. Optional Practical Training (OPT) or Curricular Practical Training (CPT) is available to gain work experience in your major/field of study.

• State-of-the-Art Research Labs and Facilities: Build, tinker and test your designs in Stevens' MakerCenter, Prototype and Object Fabrication Lab, or numerous other research facilities.

• Research Opportunities: Renowned faculty, labs and research centers – as well as industry partnerships and funding from leading national agencies – support strategic and interdisciplinary research in engineering and science.

• Assistantships and Fellowships: Stevens offers funding to select graduate students in the form of teaching assistantships, research assistantships and fellowships. Limited in number, these highly competitive opportunities are awarded to exceptional candidates based on merit.

• Expanded Learning Options: The Schaefer School offers new opportunities for doctoral students to do coursework at universities in the New York City area – and around the world – through our growing list of academic partnerships with other prestigious universities. Learn more about our latest partnerships.

Stevens graduate students have the opportunity to learn from leading experts in AI and machine learning research, and their applications in data science and robotics.

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.