CT

Master's in AI
On-Campus, Online

University of Bridgeport

MS in Artificial Intelligence – Data Sciences & Analytics

  • Bridgeport
About This Program

This track addresses the increasing role of artificial intelligence in business intelligence and massive dataset management.

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What You'll Learn

Learners will master techniques for data aggregation, information retrieval, and the analysis of large-scale distributed systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The coursework focuses on big data systems, Hadoop, NoSQL databases, data mining, and statistical computing platforms.
Typical Course Topics
1. Machine Learning Algorithms and Theory 2. Deep Learning and Neural Networks 3. Data Mining and Feature Engineering 4. Natural Language Processing 5. Computer Vision and Image Recognition 6. Probabilistic Methods and Statistical Inference
Program Specializations:
Machine Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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
Academic Requirements (Typical)

• 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+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Thrive as AI Research Scientist in Cross-Industry AI with big data expertise

Estimated Industry Salary
AI/Machine Learning Engineer: $120,000 Data Scientist: $115,000 Machine Learning Operations Engineer: $118,000 AI Research Scientist: $125,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. Analytics Engineer
Top AI Employers (Industry-Wide):
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
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 35,190
Format
On-Campus, Online
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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