MasterOn-Campus, OnlineFlexible

University of Maine

MS in Data Science & Engineering – AI Focus

Orono, MAINE1.5 $19K total tuition
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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.

Est. Salary$125,000 ML Operations Specialist
Job Growth+36%
Top RoleData Scientist
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$19K total
Format
On-Campus, Online
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a GPA of 3.0 or higher. Prior coursework in programming, linear algebra, and statistics is strongly recommended.

About This Program

This interdisciplinary program focuses on the engineering principles behind data infrastructure and the application of AI to complex engineering datasets.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. AI Systems Architect
  • 3. Data Engineering Lead
  • 4. MLOps Specialist

What You'll Learn

  • Design, build, and deploy machine learning models and AI systems in production environments
  • Apply advanced data engineering techniques to construct scalable data pipelines and infrastructure
  • Master the full AI lifecycle from data collection and feature engineering through model evaluation and optimization
  • Evaluate and mitigate risks in AI systems, including bias detection, model interpretability, and ethical considerations

Curriculum Highlights

The structure includes theme areas in data acquisition and analysis, with specialized courses in AI and machine learning.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, IBM, and major financial institutions such as JPMorgan Chase and Goldman Sachs.

Admissions

Applicants typically need a bachelor's degree in computer science, engineering, mathematics, or a related quantitative field, with a GPA of 3.0 or higher. Prior coursework in programming, linear algebra, and statistics is strongly recommended.

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: Required (GRE preferred for STEM programs)
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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