Lewis University

How this program compares

At an estimated $28.9K in total tuition, the MS in Computer Science - AI Concentration sits roughly 32% below the $42.4K average for AI master's programs in our database — placing it in the 44th 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: Applicants must hold a bachelor's degree in computer science, mathematics, or a related technical field, with a minimum GPA of 3.0. A background in programming, discrete mathematics, and data structures is typically required; applicants from non-computer science backgrounds may need to complete prerequisite coursework.

About This Program

This graduate concentration prepares students to research and implement the latest AI technologies. It focuses on designing intelligent systems that perceive, act, and learn from their environment. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $28.9K, below the $42.4K average for AI master's programs in our database and in the 44th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as Machine Learning Engineer in Cross-Industry AI with generative ai expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $125,000.

Career Outcomes

Lead as Machine Learning Engineer in Cross-Industry AI with generative ai expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI/ML Systems Architect

What You'll Learn

• Design and implement machine learning models using modern frameworks and libraries
• Apply AI techniques to solve complex real-world computational problems
• Understand neural networks, optimization algorithms, and training methodologies
• Develop proficiency in data analysis, pattern recognition, and predictive modeling

Curriculum Highlights

The structure includes core computer science requirements such as database design and research skills. Specialized concentration courses cover neural networks, machine learning operations, and AI for business applications.

Top Employers

Top employers include Google, Microsoft, Meta, OpenAI, Amazon, IBM, and major technology and research institutions investing in artificial intelligence and machine learning development.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, or a related technical field, with a minimum GPA of 3.0. A background in programming, discrete mathematics, and data structures is typically required; applicants from non-computer science backgrounds may need to complete prerequisite coursework.

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Optional (not typically required for MS Computer Science programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)