WI

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

University of Wisconsin–Milwaukee

MS in Computer Science (Professional Track) – AI, Machine Learning, and Natural Language Processing

  • Milwaukee
About This Program

A flexible program for working professionals focusing on the technologies employers need most, including software engineering, data science, and AI.

Student Reviews
Write a Review
What You'll Learn

Graduates gain industry-aligned skills and hands-on experience through project-based learning, preparing them for impactful technical leadership roles.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 31-credit non-thesis curriculum allows students to concentrate in AI, ML, and NLP, incorporating practical skills they can use immediately in the workforce.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Natural Language Processing 4. AI Algorithms and Optimization 5. Statistical Machine Learning 6. AI Applications and Capstone Project
Program Specializations:
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science or a related field with a minimum GPA of 3.0 is required, along with prerequisite coursework in programming, algorithms, and mathematics such as linear algebra.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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.

Check Application Deadlines
Career Opportunities in AI

Advance as AI Engineer in Cross-Industry AI with data science expertise

Estimated Industry Salary
AI/ML Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. NLP Specialist 4. Data Scientist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as AI startups and research labs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 20,070
Format
On-Campus, Online, Hybrid
Specializations
MLOps/AI Engineering
Official Resources
Program Website
Request Information