MO

Master's in DS/DA
Online

University of Central Missouri

Online MS in Data Science & Artificial Intelligence

  • Warrensburg
About This Program

This flexible online master’s degree explores the unity between data science and AI, training students to use data-driven insights to lead commercial and non-profit organizations.

Student Reviews
What You'll Learn

Graduates will gain expertise in machine learning, deep learning, and natural language processing through an online format designed for working professionals seeking career advancement.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The coursework integrates advanced statistics with practical AI applications, covering big data analytics and data visualization while offering flexible scheduling options.
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)
Machine Learning
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 combined Verbal and Quantitative minimum of 291.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GRE/GMAT: Required (minimum combined score 291 Verbal/Quantitative)
β€’ TOEFL/IELTS: Required for international students (TOEFL 79-80+ / IELTS 6.0+)

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

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

Estimated Industry Salary
Data Scientist: $120,000 AI Engineer: $130,000
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 IBM, as well as consulting firms and government agencies focused on AI and data analytics.
Program Details
Duration
  • 2 Year
Tuition
  • 14,955
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning