Old Dominion University
MS in Data Science - AI & ML Concentration
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $18.6K in total tuition, the MS in Data Science - AI & ML Concentration sits roughly 56% below the $42.4K average for AI master's programs in our database β 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 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. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. 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.
Position as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.
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: 2β3
- 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+)
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