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, or statistics with a minimum GPA of 3.0 is required, along with programming experience in Python or R and quantitative coursework.

About This Program

This research-intensive master's degree explores how to leverage data to optimize processes and drive innovation across diverse industrial sectors.

Career Outcomes

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

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

What You'll Learn

• Design and implement machine learning models for predictive analytics.
• Apply deep learning techniques to computer vision and NLP tasks.
• Analyze large datasets using advanced statistical methods and AI tools.
• Develop ethical AI solutions addressing bias and societal impacts.

Curriculum Highlights

The coursework includes data visualization, mining, and AI-driven analytics, culminating in a real-world capstone project.

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, or statistics with a minimum GPA of 3.0 is required, along with programming experience in Python or R and quantitative coursework.

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+)