Northern Illinois University
PhD in Computer Science - Machine Learning Emphasis
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $35.1K in total tuition, the PhD in Computer Science - Machine Learning Emphasis sits roughly 58% below the $82.9K average for AI doctoral programs in our database β placing it in the 26th percentile on cost among the 42 we track at this level.
Admission Snapshot
Typical admitted student: Requires a master's or bachelor's degree in computer science or related field, minimum GPA of 3.0-3.5, strong research background or publications, and relevant coursework in algorithms, programming, and mathematics.
About This Program
This program prepares doctoral candidates to develop innovative machine learning models and data-driven solutions for complex academic and industrial problems. Coursework concentrates on Natural Language Processing (NLP) and Deep Learning. Most students complete it in about 5 years.
Estimated total tuition is $35.1K, below the $82.9K average for AI doctoral programs in our database and in the 26th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Command advanced AI Research Scientist in Cross-Industry AI through machine learning Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.
Career Outcomes
Command advanced AI Research Scientist in Cross-Industry AI through machine learning
- 1. Machine Learning Research Scientist
- 2. AI Research Professor
- 3. Data Science Director
- 4. Principal Machine Learning Engineer
What You'll Learn
- Design and analyze advanced machine learning algorithms for complex data problems.
- Develop and optimize deep learning models for applications like vision and language.
- Conduct original research in machine learning theory and methodologies.
- Apply machine learning to real-world computer science challenges such as optimization and prediction.
Curriculum Highlights
Coursework and research revolve around high-level machine learning theory, statistical analysis, and practical applications in fields like bioinformatics and data science.
Top Employers
Top employers include Google, Meta, OpenAI, Microsoft Research, and Amazon AI labs.
Admissions
Requires a master's or bachelor's degree in computer science or related field, minimum GPA of 3.0-3.5, strong research background or publications, and relevant coursework in algorithms, programming, and mathematics.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Master's preferred (Bachelor's acceptable with strong research experience)
- GRE/GMAT: Optional or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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