University of Wisconsin–Milwaukee

How this program compares

Budget-wise, $20.1K puts this master's program at the 25th percentile on cost — roughly 53% below the $42.9K average across 394 comparable listings. It is one of the 54% 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.

Graduates frequently move into roles such as NLP Engineer, with reported salaries around $145,000.

Design and implement machine learning models for predictive analytics and pattern recognition.

At roughly $20.1K total, University of Wisconsin–Milwaukee's MS in Computer Science - AI, ML and NLP sits below the $42.9K average among AI master's programs we track — the 25th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

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 60% of the Wisconsin programs in our data, where typical tuition runs near $34.7K.

Career Outcomes

The MS in Computer Science - AI, ML and NLP at University of Wisconsin–Milwaukee (Milwaukee, Wisconsin) is oriented toward NLP Engineer hiring, with alumni reporting pay near $145,000. Its focus on Machine Learning and Computer Vision 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. 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

Admission to University of Wisconsin–Milwaukee's MS in Computer Science - AI, ML and NLP generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions