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 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.

About This Program

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

Career Outcomes

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

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

What You'll Learn

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

Curriculum Highlights

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.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and IBM, as well as AI startups and research labs.

Admissions

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.

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+)