University of Bridgeport

How this program compares

At an estimated $35.2K in total tuition, the MS in Artificial Intelligence - Data Sciences & Analytics sits roughly 17% below the $42.4K average for AI master's programs in our database — placing it in the 55th 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 must hold a bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field, demonstrating foundational knowledge in programming and mathematics. While standardized tests like the GRE may be required by some programs, they are not universally mandated across all institutions.[2

About This Program

This track addresses the increasing role of artificial intelligence in business intelligence and massive dataset management. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 2 years.

Estimated total tuition is $35.2K, below the $42.4K average for AI master's programs in our database and in the 55th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive as AI Research Scientist in Cross-Industry AI with big data expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $125,000.

Career Outcomes

Thrive as AI Research Scientist in Cross-Industry AI with big data 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 using supervised and unsupervised learning techniques to solve real-world data problems
• Apply deep learning frameworks and neural networks to complex datasets for pattern recognition and predictive analytics
• Develop proficiency in data preprocessing, feature engineering, and statistical analysis to extract actionable insights from large-scale data
• Deploy and optimize AI systems with hands-on experience in data pipelines, model evaluation, and production-ready applications

Curriculum Highlights

The coursework focuses on big data systems, Hadoop, NoSQL databases, data mining, and statistical computing platforms.

Top Employers

Top employers in AI and data science include Google, Amazon, Microsoft, Meta, Apple, and major financial institutions like JPMorgan Chase and Goldman Sachs.[1][2

Admissions

Applicants must hold a bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field, demonstrating foundational knowledge in programming and mathematics. While standardized tests like the GRE may be required by some programs, they are not universally mandated across all institutions.[2

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required

Academic Requirements

• Degree Required: Bachelor's degree in Computer Science, Mathematics, or related field
• GRE/GMAT: Optional (not required for University of Bridgeport)[1][2]
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)