MasterOnlineFlexible

University of Wisconsin–Milwaukee

Online MS in Computer Science (AI/ML/NLP track)

Milwaukee, Wisconsin2 years$29K total tuition
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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 (AI/ML/NLP track) 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.

Est. Salary$120,000
Job Growth+23%
Top RoleAI Research Scientist
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
2 years
Est. Tuition
$29K total
Format
Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Machine Learning, Natural Language Processing (NLP)

Typical admitted student: A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms, data structures, and linear algebra.

About This Program

A career-advancement master’s track designed for working professionals seeking industry-aligned skills in artificial intelligence, machine learning, and natural language processing. Coursework concentrates on Machine Learning and Natural Language Processing (NLP). 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.

Thrive 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 $120,000.

Career Outcomes

Thrive as AI Research Scientist in Cross-Industry AI with machine learning expertise

  • 1. Machine Learning Engineer
  • 2. NLP Specialist
  • 3. AI Research Scientist
  • 4. Data Scientist

What You'll Learn

  • Design and implement machine learning models for real-world data problems
  • Develop natural language processing systems for text analysis and generation
  • Apply deep learning techniques to computer vision and sequence modeling tasks
  • Evaluate AI systems for performance, ethics, and scalability

Curriculum Highlights

The 31-credit curriculum focuses on high-demand technologies including software engineering and data science, with flexible online and evening course options available.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

A bachelor's degree in computer science, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in algorithms, data structures, 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
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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