College of Engineering

AI Applications for Data Mining and Engineering

Certificate: Boston, MA
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As artificial intelligence (AI) and machine learning (ML) become ubiquitous across industries, workers at all levels are seeking practical knowledge about AI: its implications, limitations, and uses across various domains. Northeastern’s Graduate Certificate in AI Applications for Data Mining and Engineering is designed for professionals seeking to harness the power of AI within their respective industries who may not have prior programming experience. 

The program will introduce AI tools, explore how to use AI responsibly, analyze the foundational principles of human-centered AI, and introduce data mining concepts and statistics/machine learning techniques for analyzing and discovering knowledge from large data sets.

Boston, MA
Location
Full-Time
Part-Time
Commitment
12-24 Months
Duration of Program
Fall, Spring, Summer
Entry Terms
Yes *
Meets F1 Visa Requirements
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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. Through a blend of theoretical knowledge and practical skills development, students will be equipped with the tools to make informed decisions about when and how to leverage AI technologies. By the end of the program, students 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.

Students in the AI Applications for Data Mining and Engineering track will be introduced to data mining concepts and statistics/machine learning techniques for analyzing and discovering knowledge from large data sets 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. 

More Details

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.
  • No programming experience required: Northeastern provides a diverse range of AI education opportunities tailored to learners with varying backgrounds and levels of experience. The Graduate Certificate in AI Applications is designed for learners with little to no programming experience seeking to harness the power of AI within their discipline.
  • Real-world application through domain-level specializations: Northeastern prioritizes experiential and practice-based learning to prepare students for successful careers in AI. Through its renowned co-op and externship programs, students gain hands-on experience and exposure to real-world AI applications use cases based in their field of interest
  • 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 move forward in your career. 
  • Expert career guidance and professional networking: Leverage career coaching, resume optimization, career fairs, and networking events offered through Northeastern’s Institute for Experiential AI and Career Design Support resources. 

Program Objectives

  • Identify AI tools that can improve business or operational practices through applying a human-centered approach.
  • Identify potential risks and benefits of using AI. 
  • Problem solve for AI-related issues and identify potential solutions.
  • Exhibit awareness of known biases in AI systems and propose steps for mitigation and correction.
  • Analyze and understand basic concepts in statistics and machine learning.
  • Learn the fundamentals of data mining and learn components of data mining algorithms.
  • Perform data mining tasks on specific applications.

Career Outlook

In the next five years: 

  • 23% of jobs are predicted to change due to AI (Future of Jobs Report, 2023).

  • 75% of companies plan to adopt and invest in AI in their operations (Future of Jobs Report, 2023).

Looking for something different?

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Admissions

A graduate degree or certificate from Northeastern—a top-ranked university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.

Program Costs

$28.1K *
Tuition

Finance Your Education We offer a variety of resources, including scholarships and assistantships.

How to Apply Learn more about the application process and requirements.

Requirements

  • Application form
  • Application fee
  • Resumé
  • Statement of Purpose
  • English Language Proficiency Exam required (varied ranges by college)
  • Official transcripts showing degree conferral of bachelor's degree by the end of the first term

Are You an International Student? Find out what additional documents are required to apply.

Admissions Details Learn more about the College of Engineering admissions process, policies, and required materials.

Admissions Dates

Fall Term
Spring Term
Application deadline for F1 visa students: 7/31
Application for domestic students: 8/23
Application deadline for F1 visa students: 11/1
Application for domestic students: 11/15
Curriculum

Industry-aligned courses for in-demand careers.


For 100+ years, we’ve designed our programs with one thing in mind—your success. Explore the current program requirements and course descriptions, all designed to meet today’s industry needs and must-have skills.

 

Experiential Learning

Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Through this program, students gain up to eight months of professional experience employed in their field of interest as part of the academic curriculum, giving them a competitive edge upon graduation. The College of Engineering has over 2,000 co-op employer partners globally. Our dedicated team of co-op coordinators prepare students for the co-op experience through resume building, developing interview skills, and guiding professional development.

Faculty

Our Faculty

Northeastern University faculty represents a broad cross-section of professional practices and fields, including finance, education, biomedical science, management, and the U.S. military. They serve as mentors and advisors and collaborate alongside you to solve the most pressing global challenges facing established and emerging markets.

Students

By enrolling in Northeastern, you’ll be connected to students at our 13 campuses, as well as 300,000-plus alumni and more than 3,500 employer partners around the world. Our global university system provides you with unique opportunities to think locally and act globally and serves as a platform for scaling ideas, talent, and solutions.

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