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 computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in probability, statistics, or data science.

About This Program

This interdisciplinary degree provides a comprehensive framework of foundational AI algorithms, theory, and practical implementation.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Systems Developer
• 3. Computer Vision Specialist
• 4. AI Research Scientist

What You'll Learn

• Design and implement machine learning algorithms for real-world AI applications.
• Analyze and process data using pattern recognition and computer vision techniques.
• Develop AI systems for human-computer interaction and interdisciplinary domains.
• Apply ethical and responsible AI principles to societal challenges.

Curriculum Highlights

The structure includes foundations of AI, algorithms, and concentrations in computer vision, machine learning, or robotics.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in probability, statistics, or data science.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)