The University of Akron

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Admission Snapshot

Typical admitted student: Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, along with demonstrated programming proficiency. A minimum GPA of 3.0 and relevant coursework in calculus, linear algebra, and statistics are commonly expected.

About This Program

This certificate program offers foundational training in computing and artificial intelligence for both degree-seeking students and working professionals.

The Artificial Intelligence and Machine Learning Certificate is a Certificate program at The University of Akron in Akron, Ohio offered in a on-campus format over 1 year with a focus on Natural Language Processing (NLP) and Computer Vision with an estimated total tuition of $5K. Graduates commonly pursue careers as Machine Learning Engineer, with typical salaries around $120,000. Build machine learning skills to advance as Machine Learning Engineer in Engineering AI

Career Outcomes

Build machine learning skills to advance as Machine Learning Engineer in Engineering AI

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist (AI/ML Focus)
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for classification, regression, and clustering tasks
• Develop deep learning architectures and apply them to real-world computer vision and NLP problems
• Evaluate model performance, optimize hyperparameters, and manage bias and fairness in AI systems
• Apply reinforcement learning techniques and translate AI/ML solutions into production-ready applications

Curriculum Highlights

The curriculum includes core coursework in artificial intelligence and a range of electives such as machine learning and big data programming.

Top Employers

Top employers include Google, Microsoft, Amazon, Apple, Meta, OpenAI, and major financial and healthcare organizations investing in AI innovation.

Admissions

Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, along with demonstrated programming proficiency. A minimum GPA of 3.0 and relevant coursework in calculus, linear algebra, and statistics are commonly 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: Optional (may be waived with strong technical background)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)