Rochester Institute of Technology

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: Requires a bachelor's degree in computer science or related field with a minimum GPA of 3.0, programming experience, and relevant coursework in data structures and algorithms. GRE is typically optional for certificate programs.

About This Program

This certificate provides advanced training in AI technologies, preparing students to solve real-world challenges in technical fields like computer science.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Software Developer
• 3. Data Scientist
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning models for real-world data problems
• Apply deep learning techniques to image and language processing tasks
• Evaluate AI systems for performance, bias, and ethical implications
• Integrate AI solutions into computer science applications and software systems

Curriculum Highlights

The coursework covers AI fundamentals, machine learning, and specialized topics like web intelligence, vision, or AI in cybersecurity.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

Requires a bachelor's degree in computer science or related field with a minimum GPA of 3.0, programming experience, and relevant coursework in data structures and algorithms. GRE is typically optional for certificate programs.

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
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)