Columbia University’s M.S. in Computer Science offers in-depth exploration of intelligent systems, large-scale infrastructure, and secure computation. These project ideas are designed to challenge and inspire students in machine learning, cryptography, cloud computing, and ethical tech development.
Federated Learning Models for Privacy-Preserving AI
Scalable Microservices Architecture for Real-Time Applications
Deepfake Detection Using CNN and Transformer Models
Secure Multi-Party Computation in Blockchain Frameworks
Graph Neural Networks for Social Network Analysis
Natural Language Processing in Legal Document Summarization
Anomaly Detection in Cloud Infrastructure Using LSTM
Efficient Data Sharding in Distributed Databases
AI-Powered Code Autocompletion Using Large Language Models
Zero Trust Network Access Model for Enterprise Security
Edge Computing Optimization for IoT Sensor Networks
Reinforcement Learning for Autonomous Drone Navigation
AR/VR Application for Remote Education in Low Bandwidth Areas
Adversarial Attacks and Defenses in Image Classification Models
Quantum-Safe Cryptographic Protocols for Next-Gen Networks
Privacy-Preserving Recommendation Systems Using Homomorphic Encryption
Large-Scale Text Embedding Pipelines Using BERT and FAISS
AI Governance and Ethics: Framework for Responsible Deployment
Software Optimization for GPU-Intensive Scientific Computing
Autonomous Vehicle Traffic Coordination via Multi-Agent Systems
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