Sacred Heart University

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, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in algorithms and data structures is preferred.

About This Program

This hands-on graduate certificate teaches students to build fascinating models using massive computational power, big data, and artificial intelligence systems.

Career Outcomes

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

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. Intelligent Systems Developer

What You'll Learn

• Design and implement AI algorithms for intelligent decision-making
• Apply machine learning techniques to real-world data problems
• Develop neural network models for pattern recognition and prediction
• Evaluate ethical implications and performance of intelligent computing systems

Curriculum Highlights

The curriculum features core requirements in machine learning, artificial intelligence, and deep learning, with electives in cloud computing, data warehousing, or big data analytics.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and IBM, as well as research institutions and AI-focused startups.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in algorithms and data structures is 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+)