Boston University
PhD in Computer Engineering – Data Science & Intelligent Systems
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: 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.
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.
Career Outcomes
Command advanced AI Research Scientist in Engineering AI through predictive analytics
- 1. Machine Learning Research Scientist
- 2. Data Systems Architect
- 3. AI/Intelligent Systems Engineer
- 4. Computational Research Professor
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.
Curriculum Highlights
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.
Top Employers
Top employers include Google, Microsoft, Amazon, IBM, and research institutions like national labs and universities.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- 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+)
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