Northwestern University

Overview

The Computer Science and Learning Sciences PhD program at Northwestern University is tailored for innovative researchers seeking to bridge the gap between computational methods and the learning sciences. This interdisciplinary course emphasizes the enhancement of learning experiences in real-world contexts through advanced research and application of technology.

What you'll study

The program structure involves a blend of coursework, research training, and dissertation work. Students will engage in foundational and methodological courses before focusing on their specific research interests under the guidance of experienced faculty.

Indicative coursework may include:

• Knowledge Representation for the Learning Sciences
• Knowledge Representation and Reasoning
• Social Dimensions of Teaching & Learning
• Learning Science
• Design of Technological Tools for Thinking and Learning

Research and dissertation:

• Formulate a research proposal that integrates concepts from both computer science and learning sciences.
• Undertake original research, encompassing study design, implementation, and evaluation.
• Fulfill dissertation requirements as established by the Graduate School and the supervisory committee.

Research themes (examples):

• Educational data mining and learning analytics
• Computational and formal models of learning and cognition
• Adaptive learning technologies and intelligent tutoring systems
• Equity, access, and fairness in educational computing
• Human–computer interaction and learning-focused interaction design

Entry requirements

While there are no specific GRE or GMAT score requirements stated for this program, applicants should check for any updates from the admissions office. There is also no minimum GPA requirement listed in the available information.

Career prospects

Graduates of the Computer Science and Learning Sciences PhD program are well-equipped to pursue a variety of career paths in academia, industry, and research. Potential roles include positions in educational technology companies, research institutions, and universities, where they can contribute to advancements in learning technologies and methodologies.