Interdisciplinary Programs
Artificial Intelligence Align
The Artificial Intelligence Align master’s is for people without a computer science background who want to build and train machine learning models. You’ll begin with foundational bridge courses and work towards a final capstone project, building your ability to reason through new challenges and develop creative solutions grounded in theory.
Overview
The Artificial Intelligence Align program can be taken full- or part-time. You’ll start with bridge courses in foundational computer science, giving you a grounding in data structures, algorithms, and systems. Then you’ll move into the AI master’s curriculum, built on a base of mathematics and machine learning.
At the Silicon Valley campus, the program’s concentration in Machine Learning offers electives to specialize in areas like deep learning, natural language processing, computer vision, or reinforcement learning. You will study with the Khoury College of Computer Sciences at Northeastern.
The Align model was launched in 2013 to provide better on ramps into technology for more people. Khoury College has continuously dedicated resources towards evolving and expanding its scope. It is designed to put students from other academic fields on an equal footing with those who studied undergraduate computer science. Emphasizing the conceptual building blocks of technology, it empowers students to think creatively and adaptively in an evolving technology landscape.
The Artificial Intelligence Align program at Silicon Valley approaches AI with a focus on research, exploration, and responsible development. All students begin with bridge courses in computer science, and finish with a final project that showcases their skills. During the course of your program you’ll have opportunities to participate in experiential learning, which may include a co-op or internship placement, research in a faculty lab, and independent or group research projects.
Objectives
Master core AI methods
Understand representations, algorithms, and techniques used across the AI industry and academia, and be able to apply and evaluate them in applications as well as develop your own.
Design intelligent agents
Understand the processes an AI agent must perform, from perceiving the environment to making decisions on how to act, and build and evaluate the technology used to perform these processes.
Apply machine learning for data inference
Use machine learning to draw inferences and automate AI systems and component development.
Engineer human–AI collaboration
Know how to integrate humans into AI systems, and improve system or human performance. Fully understand ethical concerns in developing AI.
Curriculum
Your initial bridge course selections will be shaped by your interests, your previous experience, and the guidance of your instructors. Course options include Discrete Structures, Object Oriented Design, and Data Structures & Algorithms.
After the bridge phase, you will complete 16 credit hours of core requirements in mathematics and AI foundations.
You will complete your degree by choosing electives from the Machine Learning concentration. Courses options include Data Mining Techniques, Pattern Recognition & Computer Vision, Reinforcement Learning & Sequential Decision Making, and more. Special Topics courses may also be available from our faculty.
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Interested in the MS in Artificial Intelligence Align program? Our enrollment counselors can answer any questions that you have and help you connect with further resources. Please fill out the form below and we will be in touch with you soon.
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