University of Wisconsin–Eau Claire

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: Open to current undergraduate students from any major with good academic standing; no specific prerequisites beyond basic programming knowledge recommended.

About This Program

An academic credential designed to help students develop and refine in-demand skills in AI, machine learning, statistics, and deep learning.

Career Outcomes

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

• 1. AI Ethics Analyst
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Applications Developer

What You'll Learn

• Core AI concepts including machine learning and neural networks
• Ethical considerations in AI development and deployment
• Practical application of AI algorithms to real-world problems
• Skills in data processing and model training for AI systems

Curriculum Highlights

The 16-credit curriculum includes study in Python programming, statistical reasoning, and artificial intelligence, preparing students for advanced technical roles or subsequent graduate work.

Top Employers

Top employers include tech firms like Google, Microsoft, IBM, and healthcare innovators such as Mayo Clinic.

Admissions

Open to current undergraduate students from any major with good academic standing; no specific prerequisites beyond basic programming knowledge recommended.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Not Required
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: None (undergraduate certificate)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)