Northeastern University

Overview

The Align Artificial Intelligence (M.S.) program at Northeastern University is crafted to equip students with practical AI competencies while emphasizing responsible application. The program begins with an intensive foundational curriculum, transitioning into advanced studies that encompass machine learning, intelligent interaction, robotics, and knowledge-based reasoning.

Students have the flexibility to pursue their studies full-time or part-time, with opportunities to engage in paid co-op or internship experiences that enhance real-world skills and career readiness.

What you'll study

The curriculum is meticulously designed to guide students from foundational knowledge to specialized expertise in AI. Students can engage in experiential learning through co-ops or internships.

Foundation Courses

• Discrete Structures
• Object-Oriented Design and Recitation
• Data Structures, Algorithms, and Their Applications
• Systems and Recitation
• Applied Programming and Data Processing for AI

Advanced AI Coursework

• Machine Learning (including applied topics)
• Reinforcement Learning and Sequential Decision Making
• Computer Vision
• Intelligent Interaction
• Robotics and Agent Systems
• Knowledge Management and Reasoning

Capstone Requirement: Students are required to complete a capstone project or equivalent culminating academic work. The specific format may vary by campus and cohort.

Electives: Students may select electives based on their interests, such as applied AI, robotics, computer vision, or knowledge-based systems.

Entry requirements

The GRE is optional for applicants, with no specific GRE/GMAT requirements for this program. General GPA minimums are typically around 3.0/4.0, 8.0/10.0, or 80/100.

For international applicants, English language proficiency is essential. Recommended minimum scores include an IELTS score of 6.5 or a TOEFL score of 90.

Career prospects

Graduates of the Align Artificial Intelligence program are well-prepared to pursue diverse career opportunities in the rapidly evolving field of AI. With a solid foundation in both theory and practical application, alumni can find roles in various sectors, including technology, healthcare, finance, and more, often involving positions related to machine learning, robotics, data analysis, and intelligent systems.