WI

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

University of Wisconsin–Milwaukee

MS in Computer Science – AI, ML and NLP

  • Milwaukee
About This Program

A rigorous graduate program designed for students wishing to gain an advanced understanding of the principles and practices of modern computing.

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What You'll Learn

Students learn to apply artificial intelligence techniques to many engineering domains while developing expertise on ethical considerations and responsible solutions.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum offers tracks in artificial intelligence, machine learning, and natural language processing, requiring a 30-credit thesis or 31-credit non-thesis option.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning 3. Natural Language Processing 4. AI Algorithms and Optimization 5. Statistical Machine Learning 6. Computer Vision and Generative AI
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional or Not Required
• 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

Lead as NLP Engineer in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $140,000 AI Research Scientist: $150,000 NLP Specialist: $145,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. NLP Engineer 4. Data Scientist (AI/ML focus)
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and NVIDIA.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 20,070
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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