AI Applications Northeastern University

Overview

Students from a broad spectrum of academic and professional backgrounds will gain a comprehensive understanding of AI fundamentals and learn effective ways to apply AI applications to their own contexts and products.

By the end of the AI Applications program, students from  Northeastern University will gain skills in leveraging AI technologies responsibly, ethically, and effectively within their organizations. They will be equipped to advocate for the responsible use of AI and mitigate risks associated with AI deployment while also understanding the human-centered aspects of AI development and implementation.

Industry-specific tracks

Specialize in one of six industry-aligned tracks:

• AI applications for business, offered by D’Amore-McKim School of Business, allows students to examine how AI empowers businesses to enhance competitiveness and integrates with business strategy. Students will leverage machine learning techniques like unsupervised, supervised, and reinforcement learning and be able to recommend business solutions using AI. Students will have an opportunity to gain practical insights into implementation and ethical considerations to navigate the dynamic landscape of AI-driven business transformations.
• AI applications for data mining and engineering, offered by the College of Engineering, allows students to learn data mining concepts and statistics/machine learning techniques for analyzing large datasets in engineering domains such as manufacturing, healthcare, sustainability, and energy. Drawing from data mining case studies, students will explore data reduction, data exploration, data visualization, concept description, mining association rules, classification, prediction, and clustering.

• AI applications for education, offered by Mills College, allows students to explore the historical, philosophical, and practical aspects of integrating AI into teaching, learning, and institutional contexts. Students will learn to critically evaluate and effectively utilize AI technologies with diverse student populations to enhance learning outcomes in pre-K, K–12, and higher education contexts. The program will equip students with practical skills in using AI for research, administration, communication, and other professional aspects of education and leadership.
• AI applications for health sciences, offered by Bouvé College of Health Sciences, allows students to explore foundational concepts of AI and its applications in healthcare, public health, pharmacology, and pharmaceutical sciences. The program covers the history of AI, common AI approaches, and state-of-the-art applications across the health sciences.
• AI applications for media industries, offered by the College of Arts, Media and Design, allows students to utilize AI tools to craft stories across various contexts, such as public relations, communications, advocacy, journalism, news, and strategic social media campaigns. Students will develop competencies in generative AI tools encompassing text, images, and multimodal domains while experimenting with and evaluating diverse models and platforms.
• AI applications for policy and regulation, offered by the College of Social Sciences and Humanities, allows students to examine the rapidly evolving role of technology and artificial intelligence in public policy and the criminal legal system, and to learn to use tools to navigate this complex and critical field. Students will explore how AI intersects with legal processes and constitutional criminal procedure rules while gaining a foundational understanding of how these technologies work.

This program is visa-eligible at Northeastern University campuses in the United States and Canada.

Disclaimer: Visa eligibility may vary by location and individual circumstances. Applicants are responsible for verifying the most up-to-date visa regulations with the relevant visa or immigration agency before applying.