The University of Akron

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 Python, statistics, and linear algebra is often preferred.

About This Program

This technical certificate provides recognition of experience in computing and artificial intelligence techniques for students and professionals.

Career Outcomes

Strengthen machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

• 1. Machine Learning Engineer
• 2. AI Data Scientist
• 3. AI Research Analyst
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Apply deep learning techniques to image and language data processing.
• Evaluate AI systems for bias, fairness, and ethical implications.
• Develop AI applications using frameworks like TensorFlow and PyTorch.

Curriculum Highlights

The curriculum features core courses in algorithms and heuristic programming, supplemented by electives in human-computer interaction and parallel processing.

Top Employers

Top employers include 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 Python, statistics, and linear algebra is often 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+)