
PhD in Computer Science
The PhD in Computer Science will prepare you with the advanced coursework and groundbreaking research experience you need to contribute at the forefront of one of the world’s fastest-growing fields. In this program, you’ll produce and defend original research while building expertise in five core areas: artificial intelligence and data science, human–computer interaction, software, systems and security, and theory.

Become a top leader in the field
Stories from our students
PhD student Sarah Szvetecz talks about the excitement of realizing she could apply her love of math in fields she hadn’t previously considered, and what has made her Khoury experience “the perfect match.”
Campus location
-
Boston
Located in the heart of Boston, Northeastern’s oldest campus is home to a vibrant community of students, researchers, and faculty working across disciplines to build a better world through CS.
Applications and admissions
Deadline: December 15 for fall admission

Meet our faculty
Get to know the engaged, experienced professors who are here to support you every step of the way.

Amal Ahmed
Amal Ahmed is a professor at Khoury College. Her programming languages research has touched on semantics, type systems, secure compilation, gradual typing, and software contracts.
Institutes and Centers
Where engaged students, expert faculty, experienced research scientists, and industry and government partners work together to solve big challenges.
Related programs
-
PhD in Cybersecurity
The PhD in Cybersecurity provides a comprehensive technical foundation with an interdisciplinary perspective.
-
PhD in Personal Health Informatics
The PhD in Personal Health Informatics, offered in collaboration with the Bouvé College of Health Sciences, will prepare you with the technical expertise you need to be a transformational leader in health.
-
PhD in Network Science
The interdisciplinary PhD in Network Science is the only network science program in US. It provides the conceptual and mathematical tools you'll need to describe and predict networks in an ever-evolving field.