Graduate Certificate in AI Applications for Data Mining and Engineering

In this interdisciplinary certificate program, you will gain a well-rounded foundation in AI fundamentals with a focus on data analysis. The certificate consists of three foundation courses and one concentration course, and can be completed in one or two years depending on your preferred pace of study.

As a student at the Silicon Valley campus, you will have access to all of our academic spaces, student services, and a full calendar of local events. And as a graduate, you will join over 11k Northeastern University alumni living and working in the Bay Area, and over 330k worldwide.

Unique Features

Alignment with job functions and career opportunities.

Northeastern’s program bridges the gap between theory and practice, emphasizing the practical applications of AI within various professions and industries. Through real-world case studies and industry collaborations, learners develop the knowledge and skills to effectively apply AI technologies in their respective fields, driving tangible results and advancements in industry.|

Credit-bearing pathways to advance your career.

The Graduate Certificate in AI Applications is a credit-bearing graduate certificate with seamless on-ramps to various MS degree pathways. Incrementally advance your education with valuable credentials that immediately help you advance your career.

Expert career guidance and professional networking.

Leverage career coaching, resumé optimization, and networking events offered through Northeastern’s Institute for Experiential AI and the Silicon Valley campus Career Development and Experiential Learning team.

Interdisciplinary connections on campus.

As a graduate-level, technology-focused campus, Northeastern in Silicon Valley offers many opportunities to build meaningful relationships with ambitious peers on complementary career tracks.

Flexible pacing.

Designed for working professionals, the graduate certificate allows students to take breaks between courses while remaining enrolled.

What You’ll Study

IE 5640. Data Mining for Engineering Applications.

In the concentration course, you’ll learn data mining concepts and statistics/machine learning techniques for analyzing large data sets in engineering domains such as manufacturing, healthcare, sustainability, and energy. Drawing from data mining case studies, you will explore data reduction, data exploration, data visualization, concept description, mining association rules, classification, prediction, and clustering.

ARTG 6460. Human-Centered AI.

This course examines the critical processes underpinning AI development and deployment and applies user-centered design principles to AI-driven products and services. You will engage in hands-on projects to design AI solutions tailored to human needs and that use AI systems responsibly to prioritize human values and well-being. The course also investigates methodologies for integrating human perspectives into AI systems and strategies for fostering collaboration between AI technologies and human users.

CS 5047. Exploring AI Trends and Tools.

This class explores key ideas in artificial intelligence while delving into trending developments in the field. You will become familiar with AI tools and frameworks to enable collaboration effectively and efficiently across technical and nontechnical stakeholders. The class will cover topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact.

PHIL 5110. Responsible AI.

In this class, you’ll learn about the design, development, and deployment of artificial intelligence and how it interacts with a wide range of values including fairness, privacy, transparency, autonomy, and well-being. You will develop an understanding of the robust legal, regulatory, and ethical landscape of AI applications across domains and sectors to realize the promise of AI while promoting and protecting values, as well as instruction in the tools necessary to responsibly engage with AI.