MO

Master's in DS/DA
Hybrid

Southwest Baptist University

MS in Artificial Intelligence

  • Warrensburg
About This Program

A 30-hour graduate program that prepares innovative leaders to integrate AI technology into business and organizations from a Christ-centered perspective.

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What You'll Learn

Students master machine learning algorithms, natural language processing, and big data analytics while developing a strong ethical framework for responsible AI development.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes courses on foundations of machine learning, mobile app development, cloud infrastructure security, and applied AI solutions for business.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Neural Networks 6. AI Systems Design
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
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; relevant programming or technical background is preferred, along with possible prerequisite coursework in data structures or linear algebra.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Check Application Deadlines
Career Opportunities in AI

Thrive as AI Engineer in Business AI with machine learning expertise

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 Engineer 2. Machine Learning Specialist 3. Data Scientist 4. Robotics Engineer
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Microsoft, Amazon, and IBM, as well as research labs and AI-focused startups.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 17,550
Format
Hybrid
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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