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 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.

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+)