University of Wisconsin–Madison

How this program compares

University of Wisconsin–Madison's PhD in Computer Sciences (AI/ML) lists about $34.3K total tuition — roughly 61% below the $87.2K AI doctoral average (22nd percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants typically hold a bachelor's degree in computer science, mathematics, or a related field, with strong undergraduate performance (GPA 3.5+) and demonstrated research or professional experience in AI/ML. A master's degree in computer science or related field is preferred but not always required.

About This Program

A rigorous research degree where students work with faculty on original discoveries in areas such as artificial intelligence, machine learning, and systems research. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 5 years.

It is one of 25 AI-related programs we track in Wisconsin, of which about 56% offer an online option. On price, it comes in cheaper than about 52% of the Wisconsin programs in our data, where typical tuition runs near $34.7K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $175,000.

Design and implement state-of-the-art machine learning algorithms and deep learning architectures for complex real-world problems.

Budget planners should note $34.3K estimated total tuition (22nd percentile among AI doctoral programs, below the $87.2K average). That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

University of Wisconsin–Madison positions this doctoral track for AI Research Scientist careers — typical offers cluster around $175,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. AI Research Director
• 4. Data Science Leader

What You'll Learn

• Design and implement state-of-the-art machine learning algorithms and deep learning architectures for complex real-world problems
• Conduct rigorous theoretical and empirical research in artificial intelligence, including formal analysis of algorithm performance and limitations
• Apply advanced techniques in computer vision, natural language processing, and reinforcement learning to domain-specific challenges
• Develop expertise in research methodologies, including experimental design, evaluation metrics, and publication of peer-reviewed work

Curriculum Highlights

Candidates complete a qualifying breadth process across topics like deep learning and optimization, followed by depth examinations and a formal dissertation requirement.

Top Employers

Top employers include Google, Meta, OpenAI, Microsoft, DeepMind, Tesla, Amazon, and major research institutions and national laboratories.

Admissions

Admission to University of Wisconsin–Madison's PhD in Computer Sciences (AI/ML) generally expects a phd in computer sciences. Plan for the GRE, which this program lists as required (typically 160+ quantitative). Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Research Portfolio or Writing Sample: Recommended

Frequently Asked Questions