University of Wisconsin–Milwaukee
MS in Computer Science - AI, ML and NLP
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $20.1K in total tuition, the MS in Computer Science - AI, ML and NLP sits roughly 53% below the $42.4K average for AI master's programs in our database — placing it in the 25th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and linear algebra.
About This Program
A rigorous graduate program designed for students wishing to gain an advanced understanding of the principles and practices of modern computing. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 2 years.
Estimated total tuition is $20.1K, below the $42.4K average for AI master's programs in our database and in the 25th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Lead as NLP Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as NLP Engineer, with reported salaries around $145,000.
Career Outcomes
Lead as NLP Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. NLP Engineer
- 4. Data Scientist (AI/ML focus)
What You'll Learn
- Design and implement machine learning models for predictive analytics and pattern recognition.
- Develop natural language processing systems for text analysis, sentiment detection, and language generation.
- Apply deep learning techniques to computer vision and generative AI applications.
- Optimize AI algorithms for scalable, real-world data processing and deployment.
Curriculum Highlights
The curriculum offers tracks in artificial intelligence, machine learning, and natural language processing, requiring a 30-credit thesis or 31-credit non-thesis option.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and NVIDIA.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and linear algebra.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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