University of Maine

How this program compares

At an estimated $18.8K in total tuition, the Online 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: 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 in Python or R and foundational knowledge in statistics and linear algebra.

About This Program

A flexible online master's program providing comprehensive training in data engineering and the strategic implementation of artificial intelligence. Coursework concentrates on Data Science & Intelligent Systems and AI Engineering / Applied AI. Most students complete it in about 1 year.

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.

Excel 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

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

• 1. AI Engineer
• 2. Data Scientist
• 3. Machine Learning Engineer
• 4. MLOps Specialist

What You'll Learn

• Design and implement scalable AI models for data-driven decision making
• Engineer production-grade data pipelines and AI systems
• Apply machine learning techniques to real-world engineering problems
• Deploy and manage AI applications using MLOps practices

Curriculum Highlights

The program follows a 30-credit structure with core themes in data management and electives focused on AI-driven applications.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and data-focused firms in finance, healthcare, and consulting.

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 in Python or R and foundational knowledge in statistics and 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+)