University of Central Missouri

How this program compares

At an estimated $15.0K in total tuition, the MS in Data Science and 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: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 2.8-3.0 is required, along with GRE scores (minimum combined 291 Verbal/Quantitative) demonstrating aptitude in quantitative areas.

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.

Lead 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

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

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

What You'll Learn

• Develop and deploy machine learning models for predictive analytics.
• Apply deep learning techniques to image recognition and natural language processing.
• Analyze and visualize large-scale datasets using big data tools.
• Design AI systems integrating algorithms, data processing, and ethical considerations.

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

Graduates work at Fortune 500 companies like Boeing, Garmin, IBM, J.P. Morgan, Mastercard, and T-Mobile.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 2.8-3.0 is required, along with GRE scores (minimum combined 291 Verbal/Quantitative) demonstrating aptitude in quantitative areas.

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
• TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.0+)