University of Maine

How this program compares

At an estimated $18.8K in total tuition, the MS in Data Science and 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: A bachelor's degree in computer science, engineering, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in statistics or linear algebra.

About This Program

This program offers multiple specialization paths, allowing students to apply data science and AI techniques to various academic and industrial fields. 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.

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 $120,000.

Career Outcomes

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

• 1. AI Data Engineer
• 2. Machine Learning Engineer
• 3. Data Science AI Specialist
• 4. AI Systems Architect

What You'll Learn

• Design and deploy scalable AI models for data-driven decision making
• Engineer production-grade machine learning pipelines
• Analyze complex datasets using advanced AI techniques
• Develop intelligent systems integrating data science and AI engineering

Curriculum Highlights

The course of study includes core practicums and specialized electives in areas like machine learning and big data management.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and AI-focused firms in data analytics and engineering.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in statistics or linear algebra.

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+)