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.

⭐ Student Reviews

No reviews yet. Be the first to share your experience!

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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Artificial Intelligence with a Data Sciences & Analytics concentration is a two-year graduate program designed to prepare students for careers in AI and machine learning, emphasizing practical applications in data analysis, predictive modeling, and intelligent systems development.[1][2
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.

Check Application Deadlines
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%
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
Request Information