University of Maine

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

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+)