Boston University

How this program compares

At an estimated $37.8K in total tuition, the PhD in Computer Eng. - Data Science & Intell. Systems sits roughly 54% below the $82.9K average for AI doctoral programs in our database — placing it in the 33rd percentile on cost among the 42 we track at this level.

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 attesting to cross-disciplinary potential are required.

About This Program

This doctoral program prepares graduates for independent research in computer engineering, focusing on the methodological and applied dimensions of data science and intelligent systems. Coursework concentrates on Data Science & Intelligent Systems and Data Science & Analytics. Most students complete it in about 5 years.

Estimated total tuition is $37.8K, below the $82.9K average for AI doctoral programs in our database and in the 33rd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Pursue advanced AI Research Scientist in Engineering AI through research rotations Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $140,000.

Career Outcomes

Pursue advanced AI Research Scientist in Engineering AI through research rotations

• 1. AI Research Scientist
• 2. Data Systems Architect
• 3. Machine Learning Engineer
• 4. Computational Research Lead

What You'll Learn

• Design scalable algorithms for large-scale data processing and intelligent systems.
• Apply advanced statistical modeling and machine learning for predictive analysis.
• Conduct interdisciplinary research integrating computer engineering with data science.
• Develop ethical frameworks for AI and data-driven decision systems.

Curriculum Highlights

The curriculum requires coursework in methodology core areas, research rotations, a doctoral seminar, and the successful defense of a original research dissertation.

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 engineering, computer science, or a related computational field, with strong backgrounds in mathematics, programming, and data structures. Exceptional credentials, research experience, and letters 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+)