MO

Master's in DS/DA
On-Campus, Online

University of Central Missouri

MS in Data Science & Artificial Intelligence

  • Warrensburg
About This Program

This master’s degree emphasizes the synergy between data science and artificial intelligence, training students to harness data for effective, evidence-based decision-making.

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What You'll Learn

Graduates will gain deep expertise in machine learning, big data analytics, and natural language processing, preparing them for roles as data scientists or AI specialists.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The coursework includes advanced statistics, predictive modeling, and deep learning, featuring hands-on experience with industry-standard machine learning tools and massive datasets.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Data Visualization 4. Big Data Analytics 5. Natural Language Processing 6. Advanced Algorithms
Program Specializations:
Natural Language Processing (NLP)
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree with a minimum GPA of 2.8-3.0, preferably in computer science, mathematics, or a related field, and submit GRE scores with a minimum combined Verbal and Quantitative score of 291.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Required (minimum combined score 291 Verbal/Quantitative)
• TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.0+)

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.

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Career Opportunities in AI

Excel as Data Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Data Scientist: $120,000 AI 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. Data Analyst 4. Machine Learning Specialist
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
  • 1.5 Year
Tuition
  • 14,955
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
MLOps/AI Engineering
Official Resources
Program Website
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