University of North Carolina at Charlotte

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, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in AI/ML is preferred.

About This Program

This 12-credit certificate provides graduate students with a demonstrated level of competence in solving practical problems using modern AI.

Career Outcomes

Build machine learning skills to advance as AI Engineer in Cross-Industry AI

• 1. AI/ML Engineer
• 2. Data Scientist
• 3. AI Solutions Architect
• 4. Machine Learning Specialist

What You'll Learn

• Design and implement machine learning models for real-world data problems
• Apply deep learning techniques to image and language processing tasks
• Evaluate ethical implications and biases in AI systems
• Deploy scalable AI applications using modern frameworks and cloud platforms

Curriculum Highlights

The structure consists of required courses in algorithms and intelligent systems, alongside electives in big data and cloud computing.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and IBM, as well as consulting firms and research organizations in AI applications.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in AI/ML is preferred.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)