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 engineering, computer science, or a related computational field, with strong backgrounds in mathematics, programming, and data structures. Exceptional credentials, research experience, and letters of recommendation attesting to cross-disciplinary potential are required.
About This Program
This advanced research program prepares graduates to contribute to the engineering of computational and data-driven processes that are integral to modern society and global economies.
Career Outcomes
Pursue 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 Data Science Professor
What You'll Learn
- Design and implement scalable machine learning models for intelligent systems.
- Conduct advanced statistical inference and predictive analysis on large datasets.
- Develop optimization algorithms for data-driven engineering applications.
- Perform interdisciplinary research integrating computer engineering with AI and data science.
Curriculum Highlights
The coursework covers foundational and applied dimensions of computing, followed by research rotations, an oral area examination, and a doctoral dissertation representing an original contribution to the field.
Top Employers
Top employers include tech leaders like Google, Microsoft, Amazon, and research institutions such as IBM Research and national labs.
Admissions
Applicants must hold a bachelor's or master's degree in computer engineering, computer science, or a related computational field, with strong backgrounds in mathematics, programming, and data structures. Exceptional credentials, research experience, and letters of recommendation attesting to cross-disciplinary 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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