Old Dominion University

How this program compares

At an estimated $18.6K in total tuition, the MS in Data Science & Analytics sits roughly 56% below the $42.4K average for AI master's programs in our database — placing it in the 19th 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 from an accredited institution is required. Applicants should demonstrate foundational knowledge in statistics or mathematics and programming; some programs may waive prerequisites or require completion upon admission.[1][2

About This Program

This multi-disciplinary graduate program provides the technical knowledge and skills to develop statistical models for data-driven decision-making. Coursework concentrates on Machine Learning and Data Science & Analytics. Most students complete it in about 1.5 years.

Estimated total tuition is $18.6K, below the $42.4K average for AI master's programs in our database and in the 19th 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 big data expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $95,000.

Career Outcomes

Excel as Data Scientist in Cross-Industry AI with big data expertise

• 1. Data Scientist
• 2. Data Analyst
• 3. Machine Learning Engineer
• 4. Business Intelligence Analyst

What You'll Learn

• Apply statistical inference, hypothesis testing, and probability models to real-world data analysis problems
• Build and evaluate supervised and unsupervised machine learning models including neural networks and deep learning techniques
• Design data pipelines for collecting, cleaning, integrating, and processing large datasets using modern tools and platforms
• Communicate data-driven insights effectively to both technical and non-technical stakeholders through visualization and storytelling

Curriculum Highlights

The structure features foundational courses in data science, big data processing, and discipline-specific scientific and theoretical concepts.

Top Employers

Top employers in data science and analytics include major technology firms like Google, Amazon, and Microsoft; financial institutions; healthcare organizations; and consulting firms like Deloitte and McKinsey.

Admissions

A bachelor's degree from an accredited institution is required. Applicants should demonstrate foundational knowledge in statistics or mathematics and programming; some programs may waive prerequisites or require completion upon admission.[1][2

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)