University of South Alabama

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: Bachelor's degree in computer science, engineering, or related field with minimum 3.0 GPA; relevant programming experience or coursework in Python and data structures preferred.

About This Program

This non-degree certificate program provides a foundation in contemporary artificial intelligence principles and the skills to apply AI technologies.

Career Outcomes

Gain data mining skills to advance as Machine Learning Engineer in Cross-Industry AI

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

What You'll Learn

• Develop and train machine learning models for predictive analytics
• Implement neural networks for pattern recognition tasks
• Apply natural language processing techniques to text data
• Design ethical AI systems addressing bias and fairness

Curriculum Highlights

The curriculum requires completion of five courses covering database concepts, AI theory and programming, data mining, and advanced AI techniques.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as consulting firms and research organizations.

Admissions

Bachelor's degree in computer science, engineering, or related field with minimum 3.0 GPA; relevant programming experience or coursework in Python and data structures preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• 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+)