University of Maine

How this program compares

At an estimated $18.8K in total tuition, the MS in Data Science & Engineering – AI Focus 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: Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a GPA of 3.0 or higher. Prior coursework in programming, linear algebra, and statistics is strongly recommended.

About This Program

This interdisciplinary program focuses on the engineering principles behind data infrastructure and the application of AI to complex engineering datasets. 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.

Advance as Data Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. AI Systems Architect
• 3. Data Engineering Lead
• 4. MLOps Specialist

What You'll Learn

• Design, build, and deploy machine learning models and AI systems in production environments
• Apply advanced data engineering techniques to construct scalable data pipelines and infrastructure
• Master the full AI lifecycle from data collection and feature engineering through model evaluation and optimization
• Evaluate and mitigate risks in AI systems, including bias detection, model interpretability, and ethical considerations

Curriculum Highlights

The structure includes theme areas in data acquisition and analysis, with specialized courses in AI and machine learning.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, IBM, and major financial institutions such as JPMorgan Chase and Goldman Sachs.

Admissions

Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a GPA of 3.0 or higher. Prior coursework in programming, linear algebra, and statistics is strongly recommended.

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: Required (GRE preferred for STEM programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)