Lipscomb University

How this program compares

At an estimated $18.0K in total tuition, the MS in Applied AI sits roughly 58% below the $42.4K average for AI master's programs in our database — placing it in the 17th 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, along with programming experience in Python or similar languages. Relevant coursework or professional background in data science is preferred.

About This Program

This innovative program focuses on the practical application of AI tools to solve industry-specific challenges. It features a studio-based environment for professionals from health care, business, and other sectors. Coursework concentrates on AI Ethics/Policy and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $18.0K, below the $42.4K average for AI master's programs in our database and in the 17th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Position as AI Engineer in Cross-Industry AI with ai ethics/policy expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

Position as AI Engineer in Cross-Industry AI with ai ethics/policy expertise

• 1. AI/ML Engineer
• 2. Data Scientist
• 3. AI Solutions Architect
• 4. Machine Learning Specialist

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Apply deep learning techniques to computer vision and NLP tasks
• Evaluate ethical implications and biases in AI systems
• Deploy scalable AI solutions in production environments

Curriculum Highlights

The 30-credit-hour structure includes foundational AI courses, discipline-specific application sequences, and AI Studio courses. It concludes with a non-thesis capstone project involving a deep-dive problem solution.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms specializing in AI implementation.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework or professional background in data science is 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
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)