Northeastern University
MS in Artificial Intelligence
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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, and algorithms.
About This Program
This interdisciplinary degree provides a comprehensive framework of foundational AI algorithms, theory, and practical implementation.
Career Outcomes
Advance as AI Engineer in Cross-Industry AI with machine learning expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Computer Vision Specialist
- 4. AI Research Scientist
What You'll Learn
- Design and implement advanced machine learning algorithms for real-world applications.
- Develop computer vision and pattern recognition systems for image analysis.
- Apply natural language processing techniques to human-computer interaction.
- Analyze ethical implications and societal impacts of AI technologies.
Curriculum Highlights
The structure includes foundations of AI, algorithms, and concentrations in computer vision, machine learning, or robotics.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
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, and algorithms.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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+)
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