Regis 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 often preferred.

About This Program

A master's program focused on building technical expertise in AI and machine learning while emphasizing ethical and socially responsible practices.

Career Outcomes

Thrive as Data Analyst in Business AI with machine learning expertise

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist (AI Focus)
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Develop deep learning systems using neural networks and frameworks like TensorFlow
• Apply ethical AI principles to real-world deployments
• Build AI applications for computer vision and natural language processing

Curriculum Highlights

The hybrid curriculum covers foundations of AI, search algorithms, and the integration of intelligent systems into diverse sectors such as finance and logistics.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and IBM, as well as AI-focused firms in healthcare, finance, and autonomous systems.

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 often 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: Optional or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)