University of Central Missouri

How this program compares

At an estimated $15.0K in total tuition, the MS in Data Science & Artificial Intelligence sits roughly 65% below the $42.4K average for AI master's programs in our database — placing it in the 11th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Natural Language Processing (NLP) and MLOps/AI Engineering. Most students complete it in about 1.5 years.

Estimated total tuition is $15.0K, below the $42.4K average for AI master's programs in our database and in the 11th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Excel as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

Career Outcomes

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

• 1. Data Scientist
• 2. AI/ML Engineer
• 3. Data Analyst
• 4. Machine Learning Specialist

What You'll Learn

• Develop machine learning models for predictive analytics and pattern recognition.
• Apply deep learning techniques to process complex datasets and neural networks.
• Perform big data analytics and visualization for actionable insights.
• Implement natural language processing for AI-driven text analysis.

Curriculum Highlights

The coursework includes advanced statistics, predictive modeling, and deep learning, featuring hands-on experience with industry-standard machine learning tools and massive datasets.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and IBM.

Admissions

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• 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+)