University of North Dakota

How this program compares

At an estimated $1.8K in total tuition, the AI and Machine Learning Certificate sits roughly 84% below the $11.4K average for AI certificate programs in our database — placing it in the 3rd percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or mathematics is typically required, along with a minimum GPA of 3.0 and demonstrated programming experience. Relevant work experience or prerequisite knowledge in Python and statistics may also be expected.

About This Program

This graduate-level certificate provides targeted skill development in building machine learning models for prediction and decision-making in technical fields. Coursework concentrates on AI Ethics/Policy and AI Engineering / Applied AI. Most students complete it in about 1 year.

Estimated total tuition is $1.8K, below the $11.4K average for AI certificate programs in our database and in the 3rd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Gain machine learning skills to advance as AI Engineer in Cross-Industry AI Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Data Scientist
• 3. AI/ML Specialist
• 4. Data Analyst (AI Focus)

What You'll Learn

• Implement supervised and unsupervised machine learning models for predictive analytics.
• Design and train neural networks for tasks like image recognition and sequence modeling.
• Apply AI ethics principles to ensure fairness, transparency, and accountability in deployments.
• Build scalable AI pipelines using data preprocessing, feature engineering, and model evaluation.

Curriculum Highlights

The curriculum introduces fundamental AI and machine learning concepts, natural language processing, and computer vision through hands-on project-based learning.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and Meta, as well as consulting firms and startups specializing in AI solutions.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or mathematics is typically required, along with a minimum GPA of 3.0 and demonstrated programming experience. Relevant work experience or prerequisite knowledge in Python and statistics may also be expected.

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+)