University of Wisconsin–Milwaukee

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

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.

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+)