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 is required, along with a minimum GPA of 3.0 and relevant quantitative background; programming experience in Python or R is often preferred.

About This Program

This specialized graduate track focuses on applying artificial intelligence and machine learning to solve complex data challenges in a research environment.

Career Outcomes

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

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

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Apply deep learning techniques to complex datasets
• Develop AI systems for natural language processing and computer vision
• Analyze big data using advanced statistical and algorithmic methods

Curriculum Highlights

The curriculum includes concentration-specific courses in AI and ML alongside core data science topics like visualization and database management.

Top Employers

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

Admissions

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

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