IL

PhD in AI
On-Campus

Northern Illinois University

PhD in Computer Science – AI Emphasis

  • Dekalb
About This Program

A research-intensive doctoral program designed to advance computer science through the investigation of intelligent systems, algorithms, and automated data processing.

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What You'll Learn

Students gain expertise in designing sophisticated AI models, conducting independent scholarly research, and solving complex computational challenges in areas like data analytics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum focuses on doctoral dissertation research and advanced topics such as machine learning, graphics, visualization, and bioinformatics.
Typical Course Topics
1. Advanced Machine Learning Theory 2. Deep Neural Networks and Deep Learning 3. Natural Language Processing 4. Computer Vision and Image Processing 5. Reinforcement Learning and Autonomous Systems 6. AI Research Methodologies and Dissertation Seminar
Program Specializations:
Natural Language Processing (NLP)
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, computer engineering, mathematics, or a closely related field, with a minimum undergraduate GPA of 3.4 and demonstrated strong programming skills. A master's degree in computer science or related field is preferred but not required; GRE scores may strengthen applications in some cases.
Academic Requirements (Typical)

• Degree Required: PhD in Computer Science
• GRE/GMAT: Optional (may strengthen application)
• 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
• Writing Sample or Research Portfolio: Recommended

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

Pursue advanced AI Research Scientist in Cross-Industry AI through machine learning

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
AI Research Scientist/PhD: $130,000 Machine Learning Engineer: $125,000 AI Systems Architect: $128,000 Research Scientist (Industry/Tech): $135,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Research Scientist (AI/ML) 2. Machine Learning Engineer 3. AI Systems Architect 4. Academic Researcher/Faculty
Top AI Employers (Industry-Wide):
Top employers include major technology companies such as Google, Meta, Microsoft, and Apple, as well as research institutions, national laboratories (Argonne, Oak Ridge), and AI-focused startups.
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Program Details
Duration
  • 5 Year
Tuition
  • 45,450
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Deep Learning
Official Resources
Program Website
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