University of New Orleans
Graduate Certificate in Machine Learning and AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $12.4K in total tuition, the Graduate Certificate in Machine Learning and AI sits about 9% above the $11.4K average for AI certificate programs in our database β placing it in the 67th 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 computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in statistics and linear algebra is often preferred.
About This Program
This four-course program provides advanced training in deep learning and machine learning for professionals seeking to enhance their technical expertise. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.
Estimated total tuition is $12.4K, above the $11.4K average for AI certificate programs in our database and in the 67th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI
- 1. Machine Learning Engineer
- 2. AI Specialist
- 3. Data Scientist
- 4. AI Research Analyst
What You'll Learn
- Implement supervised and unsupervised machine learning models for data analysis.
- Design and train deep neural networks for complex pattern recognition.
- Apply natural language processing techniques to text data.
- Develop AI systems incorporating ethical considerations and bias mitigation.
- Evaluate and optimize AI models using advanced metrics and algorithms.
Curriculum Highlights
The curriculum is comprised of core courses in machine learning and deep learning, with electives in natural language processing and robotics.
Top Employers
Top employers include tech companies like Google, Amazon, Microsoft, and IBM.
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 statistics and linear algebra is often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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+)
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