University of Bridgeport

How this program compares

University of Bridgeport's MS in Artificial Intelligence - Data Sciences & Analytics lists about $35.2K total tuition — roughly 18% below the $42.9K AI master's average (54th percentile in our data). It is one of the 54% 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.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $125,000.

Design and implement machine learning models using supervised and unsupervised learning techniques to solve real-world data problems.

Estimated total tuition is $35.2K, below the $42.9K average for AI master's programs in our database and in the 54th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 6 AI-related programs we track in Connecticut, of which about 83% offer an online option. On price, it comes in cheaper than about 50% of the Connecticut programs in our data, where typical tuition runs near $33.9K.

Career Outcomes

University of Bridgeport positions this master track for AI Research Scientist careers — typical offers cluster around $125,000. Its focus on Machine Learning and MLOps/AI Engineering maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of Bridgeport's MS in Artificial Intelligence - Data Sciences & Analytics generally expects a bachelor's degree in computer science, mathematics, or related field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions