Lewis 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: Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0. Strong fundamentals in programming and mathematics are expected; relevant professional experience is beneficial but not required.

About This Program

This online graduate program provides advanced preparation for leading AI-driven projects. It remains current with emerging technologies such as machine learning operations and generative artificial intelligence.

Career Outcomes

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design, train, and deploy machine learning and deep learning models for real-world applications
• Develop and evaluate AI systems for natural language processing, computer vision, and predictive analytics
• Apply mathematical foundations including linear algebra, probability, and optimization to AI problem-solving
• Implement ethical frameworks and responsible AI practices in algorithm design and deployment

Curriculum Highlights

The curriculum features flexible eight-week sessions covering programming, software engineering, and AI theory. Specialized courses focus on deep learning, natural language processing, and applied AI for various industries.

Top Employers

Top employers in AI include major technology firms such as Google, Microsoft, Amazon, IBM, Meta, and emerging AI-focused companies, as well as financial services, healthcare, and automotive industries investing heavily in AI capabilities.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0. Strong fundamentals in programming and mathematics are expected; relevant professional experience is beneficial but not required.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree in a quantitative or technical field
• GRE/GMAT: Optional (many programs do not require)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)