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 technical prerequisites in programming and mathematics are often preferred.

About This Program

This multidisciplinary program focuses on applying AI models and algorithms to solve complex business problems across various industries.

Career Outcomes

Lead as Product Analyst in Business AI with machine learning expertise

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for real-world applications.
• Apply natural language processing and computer vision techniques to solve industry problems.
• Develop ethical AI systems considering governance and societal impacts.
• Build AI prototypes through capstone projects and data-driven decision-making.

Curriculum Highlights

The curriculum features an introductory core, advanced AI education, and concentrations in healthcare, finance, or business.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as consulting firms and AI startups.

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 technical prerequisites in programming and mathematics are often preferred.

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+)