Rivier 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, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or coursework in AI/ML is preferred.

About This Program

This graduate program is designed for professionals to lead and implement AI-driven solutions across industries, combining technical training with an ethical foundation.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with deep learning expertise

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply natural language processing techniques to text and speech data
• Develop computer vision systems for image and video analysis
• Evaluate and deploy AI solutions with ethical considerations and explainability

Curriculum Highlights

Flexible coursework includes topics in advanced AI techniques, applied research, and team-based collaboration, preparing graduates for technical leadership roles.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as industries applying AI in healthcare, finance, and manufacturing.

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 AI/ML 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+)