MA

Certificates in AI, Master's in AI, Master's in Cybersecurity, PhD in AI
On-Campus

Boston University

Boston University

  • Boston
About This Program

This doctoral program focuses on high-level research in the design and implementation of methodological approaches for computational and data-driven inquiry within the field of computer engineering.

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What You'll Learn

Participants develop mastery in areas such as predictive analytics, machine learning, and combinatorial optimization while learning to navigate the sociotechnical dimensions of computing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes breadth and depth coursework, participation in research rotations, a teaching practicum, and the defense of an original dissertation based on novel engineering research.
Typical Course Topics
1. Statistical Modeling & Inference 2. Predictive Analysis & Machine Learning 3. Efficient & Scalable Algorithms 4. Optimization Algorithms 5. Large-scale Data Management 6. Computational Complexity
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's or master's degree in computer science, electrical & computer engineering, mathematics, statistics, or a related computational field, with strong credentials in programming, algorithms, linear algebra, probability, and statistics. Exceptional letters of reference and demonstrated cross-disciplinary research potential are required.
Academic Requirements (Typical)

• Degree Required: Bachelor’s or Master’s in related field
• GRE/GMAT: Optional or Required (varies by program)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Command advanced AI Research Scientist in Engineering AI through predictive analytics

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Data Scientist/Computer Engineering Researcher: $140,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Research Scientist 2. Data Systems Architect 3. AI/Intelligent Systems Engineer 4. Computational Research Professor
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, IBM, and research institutions like national labs and universities.
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Program Details
Duration
  • 5 Year
Tuition
  • 139,712
Format
On-Campus
Specializations
Official Resources
Program Website
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