KY

Master's in DS/DA
Hybrid

Campbellsville University

MS in Data Science and Artificial Intelligence

  • Campbellsville
About This Program

This STEM-focused program teaches students to implement machine learning and AI to solve practical organizational problems and maximize business success.

Student Reviews
Write a Review
What You'll Learn

Students will learn methodologies to limit risk, provide tangible value, and create production-level data science and artificial intelligence systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Topics include big data analytics, design thinking, blockchain technology, ethical issues in AI, and a comprehensive business project capstone.
Typical Course Topics
1. Introduction to Artificial Intelligence & Machine Learning 2. Big Data Analytics 3. Data Mining and Warehousing 4. Artificial Intelligence Applications 5. Ethical Issues for Artificial Intelligence 6. Business Project in Big Data and Artificial Intelligence (Capstone)
Program Specializations:
Natural Language Processing (NLP)
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 2.5-3.0 is required; relevant work experience or prerequisite coursework in programming and statistics may be preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• 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

Lead as Data Scientist in Cross-Industry AI with machine learning 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
Data Scientist: $120,000 AI Engineer: $130,000 Machine Learning Engineer: $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. AI/ML Engineer 3. Big Data Analyst 4. AI Applications Developer
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and IBM.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 20,412
Format
Hybrid
Specializations
Natural Language Processing (NLP)
MLOps/AI Engineering
Official Resources
Program Website
Request Information