UF’s MS in Computer Science offers deep technical expertise in algorithms, software development, artificial intelligence, human-computer interaction, and cybersecurity. With flexible elective paths and research options, students can specialize in high-demand fields while gaining strong theoretical foundations. Graduates pursue advanced roles in tech innovation, R&D, and entrepreneurship.
Thesis on optimization of transformer architectures for long-sequence NLP tasks
Development of a privacy-preserving contact tracing app using differential privacy
Real-time facial recognition system using convolutional neural networks and OpenCV
Scalable web application for remote collaboration with WebRTC and socket.io
Automated fake news detection using deep learning and sentiment analysis
Quantum computing simulation and algorithm benchmarking in Qiskit
Secure multiparty computation framework for collaborative data analysis
Development of a code plagiarism detection system using abstract syntax trees
Knowledge graph construction from unstructured research article datasets
Implementation of distributed consensus protocols in fault-tolerant systems
Creation of an AI chatbot for mental health support with emotion detection
Analysis of software security vulnerabilities using static code analysis tools
Blockchain-based credential verification system for academic institutions
Generative adversarial network (GAN) for data augmentation in small datasets
Performance comparison of data structures in graph traversal for social networks
Speech recognition model trained on custom dialect datasets for accessibility tools
Containerized microservice architecture for an e-commerce backend
Modeling urban traffic flow using reinforcement learning agents
Development of a low-latency multiplayer game engine prototype in Rust
Predictive maintenance system using time-series machine learning on sensor logs
Design intelligent software and scalable architectures that define the future of computing.
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