University of Maine
MS in Data Science & Engineering – Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $18.8K in total tuition, the MS in Data Science & Engineering – Artificial Intelligence 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 in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. Relevant work experience or prerequisites in statistics and linear algebra may be preferred.
About This Program
A master's degree designed to train students in core skills for managing, analyzing, and visualizing complex data with a focus on AI. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.
Estimated total tuition is $18.8K, 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.
Thrive 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
Thrive as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Data Scientist
- 2. AI/ML Engineer
- 3. Data Engineer
- 4. Machine Learning Specialist
What You'll Learn
- Design and implement machine learning models for data-driven predictions
- Apply deep learning techniques to complex engineering datasets
- Engineer scalable data pipelines for AI systems
- Analyze big data using advanced statistical and AI methods
Curriculum Highlights
The curriculum integrates data science foundations with theme-based electives in artificial intelligence and engineering analytics.
Top Employers
Top employers include tech firms like Google, Amazon, Microsoft, and engineering companies such as Boeing and IBM.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. Relevant work experience or prerequisites in statistics and linear algebra may be 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: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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