University of Wisconsin–Milwaukee
Online MS in Computer Science (Professional) – AI, ML, 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 $28.9K in total tuition, the Online MS in Computer Science (Professional) – AI, ML, NLP sits roughly 32% below the $42.4K average for AI master's programs in our database — placing it in the 45th 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: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum undergraduate GPA of 3.0. Prior coursework in programming, data structures, and linear algebra is typically required or expected.
About This Program
Designed for working professionals, this program provides advanced computer science skills with specialized tracks in AI and machine learning. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 2 years.
Estimated total tuition is $28.9K, below the $42.4K average for AI master's programs in our database and in the 45th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Excel as AI Research Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $130,000.
Career Outcomes
Excel as AI Research Scientist in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Engineer
- 3. NLP Specialist / Computational Linguist
- 4. Data Scientist
What You'll Learn
- Design and implement machine learning models for classification, regression, and clustering tasks
- Develop natural language processing systems for text analysis, sentiment analysis, and language understanding
- Build and optimize deep neural networks for complex AI applications
- Apply AI and ML techniques to solve real-world industry problems through capstone projects
Curriculum Highlights
The structure includes coursework in algorithms, robotics, text retrieval, and software engineering, culminating in a qualifying examination.
Top Employers
Top employers in AI and machine learning include Google, Microsoft, Meta, Amazon, IBM, Apple, and OpenAI, as well as specialized AI research organizations and technology consulting firms.
Admissions
Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a minimum undergraduate GPA of 3.0. Prior coursework in programming, data structures, and linear algebra is typically required or expected.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree in computer science or related field
- GRE/GMAT: Optional (may be waived for applicants with strong technical backgrounds)
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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