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Project Ideas for Master of Science in Computer Science

Explore cutting-edge topics in software engineering, AI, data science, and theoretical computing.

🏛 Introduction

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.

💡 Suggested Project Titles

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

University of Florida – MS in Computer Science

Design intelligent software and scalable architectures that define the future of computing.

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