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 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.

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+)