NJ

Master's in DS/DA
On-Campus, Online, Hybrid

Rivier University

MS in Applied Artificial Intelligence

  • Hoboken
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.

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What You'll Learn

Students gain hands-on experience with machine learning, natural language processing, computer vision, and data analytics while exploring organizational impacts of AI.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Flexible coursework includes topics in advanced AI techniques, applied research, and team-based collaboration, preparing graduates for technical leadership roles.
Typical Course Topics
1. Machine Learning Algorithms 2. Natural Language Processing 3. Computer Vision 4. Deep Learning with TensorFlow and PyTorch 5. Ethical AI and Explainability 6. Generative AI Models
Program Specializations:
Deep Learning
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Engineer 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as industries applying AI in healthcare, finance, and manufacturing.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 21,360
Format
On-Campus, Online, Hybrid
Specializations
Deep Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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