Rivier University
MS in Applied Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $21.4K in total tuition, the MS in Applied Artificial Intelligence sits roughly 50% below the $42.4K average for AI master's programs in our database β placing it in the 30th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
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. Coursework concentrates on Deep Learning and Natural Language Processing (NLP). Most students complete it in about 1.5 years.
Estimated total tuition is $21.4K, below the $42.4K average for AI master's programs in our database and in the 30th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Lead as AI Engineer in Cross-Industry AI with deep learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.
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: 2β3
- 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+)
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