Old Dominion University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering with a minimum GPA of 3.0 is required, along with quantitative background and programming experience.

About This Program

This technical master’s concentration emphasizes the design and implementation of advanced machine learning and artificial intelligence algorithms.

Career Outcomes

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

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

What You'll Learn

• Develop and deploy machine learning models for predictive analytics.
• Apply deep learning techniques to complex datasets.
• Perform data mining and visualization for actionable insights.
• Build scalable AI systems using big data technologies.

Curriculum Highlights

The program combines core data science principles with specialized study in artificial intelligence, machine learning, and data-oriented programming.

Top Employers

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

Admissions

A bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering with a minimum GPA of 3.0 is required, along with quantitative background and programming experience.

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: Optional or Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)