Bryant University

How this program compares

At an estimated $24K in total tuition, the MS in Applied AI sits roughly 44% below the $42.9K average for AI master's programs in our database — placing it in the 32nd percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with relevant quantitative background or professional experience in tech, business, or healthcare. GRE is optional; international applicants need TOEFL/IELTS scores.

About This Program

This online graduate program provides a foundation in AI principles and ethics with specialized application tracks for business or healthcare informatics. Coursework concentrates on AI Ethics/Policy and Machine Learning. Most students complete it in about 1.5 years.

It is one of 7 AI-related programs we track in Rhode Island, of which about 57% offer an online option. On price, it comes in cheaper than about 86% of the Rhode Island programs in our data, where typical tuition runs near $89.5K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $115,000.

Apply machine learning models to real-world datasets for predictive analytics.

Estimated total tuition is $24K, below the $42.9K average for AI master's programs in our database and in the 32nd percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Career Outcomes

The MS in Applied AI at Bryant University (Smithfield, Rhode Island) is oriented toward AI Engineer hiring, with alumni reporting pay near $115,000. Its focus on AI Ethics/Policy and Machine Learning maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. AI Business Analyst
• 4. Healthcare AI Specialist

What You'll Learn

• Apply machine learning models to real-world datasets for predictive analytics.
• Design ethical AI systems addressing bias, privacy, and societal impact.
• Leverage AI tools for business decision-making and process optimization.
• Implement AI solutions in healthcare informatics and operations.

Curriculum Highlights

The 31-credit curriculum includes five core AI courses and five track-specific electives in either Business Analytics or Health Informatics.

Top Employers

Top employers include tech firms like Google, Amazon, and Microsoft, healthcare organizations such as Mayo Clinic and UnitedHealth Group, and consulting companies like Deloitte and Accenture.

Admissions

Admission to Bryant University's MS in Applied AI generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions