University of Southern Maine
MS in Computer Science - AI and Data Analytics
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $14.3K in total tuition, the MS in Computer Science - AI and Data Analytics sits roughly 66% below the $42.4K average for AI master's programs in our database β placing it in the 10th 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: Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related field with a GPA of 3.0 or higher. Some programs require programming experience and may recommend the GRE, though it is increasingly optional for competitive applicants.
About This Program
This graduate program prepares students for high-impact careers in software development and the quantitative analysis of large datasets for modeling. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2 years.
Estimated total tuition is $14.3K, below the $42.4K average for AI master's programs in our database and in the 10th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Lead as Operations Research Analyst in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Operations Research Analyst, with reported salaries around $128,000.
Career Outcomes
Lead as Operations Research Analyst in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Research Scientist
- 4. Analytics Engineer
What You'll Learn
- Design and implement machine learning models for real-world data science problems
- Develop proficiency in AI frameworks, deep learning architectures, and large language models
- Apply statistical and computational methods to extract insights from complex datasets
- Build scalable data systems and deploy AI solutions in production environments
Curriculum Highlights
The program requires 30 credits, including a culminating master's thesis or project focused on AI research or solving software application problems.
Top Employers
Top employers include Google, Meta, Microsoft, Amazon, OpenAI, and major financial institutions like JPMorgan Chase and Goldman Sachs.
Admissions
Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related field with a GPA of 3.0 or higher. Some programs require programming experience and may recommend the GRE, though it is increasingly optional for competitive applicants.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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+)
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