TN

Master's in AI
On-Campus, Online, Hybrid

Lipscomb University

Lipscomb University

  • Nashville
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.

Student Reviews
What You'll Learn

Students master top-tier tools from leaders like OpenAI and Google. They learn to understand AI solution trends, develop competencies in industry-specific applications, and evaluate the societal impact of AI.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
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.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. AI Ethics and Responsible AI 4. Natural Language Processing 5. Computer Vision Applications 6. AI Systems Deployment and Scalability
Program Specializations:
AI Ethics/Policy
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GRE/GMAT: Optional
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/ML Engineer 2. Data Scientist 3. AI Solutions Architect 4. Machine Learning Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms specializing in AI implementation.
Program Details
Duration
  • 1.5 Year
Tuition
  • 17,970
Format
On-Campus, Online, Hybrid
Specializations
AI Ethics/Policy