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: 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.

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.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. Artificial Intelligence Research Scientist
• 3. Natural Language Processing Specialist
• 4. Data Scientist / ML Engineer

What You'll Learn

• Design and implement machine learning algorithms for real-world applications across diverse domains
• Develop natural language processing systems including text classification, sentiment analysis, and language generation
• Apply deep learning techniques to complex problems in computer vision, speech recognition, and intelligent systems
• Evaluate AI/ML model performance, address bias and fairness issues, and communicate findings to technical and non-technical stakeholders

Curriculum Highlights

The structure features a broad background in critical computer science aspects with elective coursework in image processing, bio-informatics, and algorithms.

Top Employers

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.

Admissions

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.

Application Materials

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

Academic Requirements

• 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+)