Northeastern University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or data science with a minimum GPA of 3.0 is required; relevant work experience or programming knowledge is often preferred for graduate certificates.

About This Program

This certificate is designed for professionals to leverage AI technologies responsibly and effectively within their organizations.

Career Outcomes

Gain machine learning skills to advance as AI Engineer in Cross-Industry AI

• 1. AI Applications Developer
• 2. Machine Learning Engineer
• 3. AI Solutions Architect
• 4. Data AI Analyst

What You'll Learn

• Design and deploy AI models for industry-specific applications
• Analyze and preprocess data for effective AI training
• Implement ethical AI practices to mitigate bias and ensure fairness
• Integrate AI solutions into existing business systems and workflows

Curriculum Highlights

The program structure includes courses on AI trends, data mining for engineering, and strategic AI for business.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM, as well as industries applying AI in healthcare, finance, and manufacturing.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or data science with a minimum GPA of 3.0 is required; relevant work experience or programming knowledge is often preferred for graduate certificates.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)