MA

PhD in AI
On-Campus

Boston University | PhD in Computer Engineering – Data Science & Intelligent Systems

  • 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

  • Design and implement scalable algorithms for large-scale data processing and intelligent systems.

  • Conduct advanced statistical inference and predictive modeling using machine learning techniques.
  • Optimize computational systems for data-intensive applications in engineering contexts.
  • Perform original research integrating data science with computer engineering principles.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The PhD in Computer Engineering – Data Science & Intelligent Systems is a 4-6 year doctoral program emphasizing advanced research in data-driven computing, machine learning, intelligent systems, and scalable algorithms.
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:
Data Science & Intelligent Systems
Data Science & Analytics
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

Estimated Industry Salary
Data Scientist/Computer Engineering Researcher: $140,000
Total compensation (entry to mid-level)
AI Job Growth
0.36%
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.
Explore AI Career Paths
Program Details
Duration
  • 5.0 Year
Tuition
$ 139,712
Format
On-Campus
Specializations
Data Science & Intelligent Systems
Data Science & Analytics
Official Resources
Program Website
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