WI

Master's in AI
On-Campus, Online, Hybrid

University of Wisconsin–Milwaukee | MS in Computer Science (Professional Track) - AI, ML, NLP

  • Milwaukee
About This Program

A career-oriented master’s track designed to broaden technical knowledge and open doors to senior positions in the evolving tech landscape.

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What You'll Learn

Students learn to work with real systems and data, developing a strong portfolio of projects that demonstrate expertise to potential employers.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure features a broad background in critical computer science aspects with elective coursework in image processing, bio-informatics, and algorithms.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Advanced Algorithms and Optimization 6. Applied AI and Intelligent Systems Design
Program Specializations:
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum undergraduate GPA of 3.0 and relevant coursework in data structures, algorithms, and linear algebra. GRE scores are typically required, though some programs may accept applications without them based on strong academic credentials and professional experience.
Academic Requirements (Typical)

• Degree Required: Master of Science in Computer Science
• GRE/GMAT: Required (or waived with strong professional background)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Thrive as AI Engineer in Cross-Industry AI with intelligent systems expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI/ML Specialist: $125,000 Data Scientist: $120,000 NLP Engineer: $128,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Artificial Intelligence Research Scientist 3. Natural Language Processing Specialist 4. Data Scientist / ML Engineer
Top AI Employers (Industry-Wide):
Top employers in AI/ML include Google, Meta, Microsoft, Amazon, IBM, OpenAI, and major technology consulting firms, along with enterprises in finance, healthcare, and automotive sectors investing heavily in AI applications.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 20,070
Format
On-Campus, Online, Hybrid
Specializations
MLOps/AI Engineering
Official Resources
Program Website
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