Northwestern University

Overview

The PhD program in Computer Science, specializing in Artificial Intelligence and Machine Learning at Northwestern University, offers students the opportunity to engage in original research at the forefront of technology. This program emphasizes collaboration across the university's diverse faculty network, enabling students to explore a wide range of AI research areas and applications.

What you'll study

Programme Structure: The doctoral training encompasses a blend of coursework, research, and academic development, typically starting with graduate-level coursework before transitioning to focused dissertation research.

Coursework (examples of areas covered):

• Programming languages and software foundations
• Security and privacy, including implications for intelligent systems
• Human-computer interaction and user-centered AI
• Core Computer Science graduate studies
• Graduate studies in Computer Science, including programme requirements and academic preparation

Research and dissertation:

• Conduct research under faculty supervision in Artificial Intelligence and Machine Learning
• Achieve progress milestones leading to the dissertation proposal and final submission
• Engage in scholarly communication through publications, presentations, and dissertation-related work

Interdisciplinary options:

• Collaborative opportunities with CS+X faculty and research groups across Northwestern

Entry requirements

Admission to the program typically considers academic preparation, research potential, and the overall strength of the application materials. There are no specific minimum GRE, GMAT, or GPA requirements stated for this program.

Career prospects

Graduates of the PhD program in Computer Science with a focus on Artificial Intelligence and Machine Learning are well-equipped to pursue diverse career paths. They may find opportunities in academia, industry research, and various technology sectors, contributing to advancements in AI and machine learning applications.