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Thesis & Research Topics for Yale M.S. in Computer Science

Pursue technical depth and cutting-edge innovation across AI, systems, and secure computation through your Yale Computer Science thesis.

🧠 Introduction

Yale’s M.S. in Computer Science emphasizes independent research and domain mastery. Students explore diverse topics such as AI, algorithms, and software design. The following list includes sample thesis and capstone ideas tailored to graduate-level research.

📌 Suggested M.S. Computer Science Research Topics

Secure Federated Learning Framework for Healthcare Data

Autonomous Navigation Algorithms for Indoor Robotics

Transformer-Based Multilingual Text Summarization Models

Quantum Algorithms for Combinatorial Optimization

Zero-Knowledge Proofs in Blockchain Protocol Design

Cloud-Based Scalable Infrastructure for Deep Learning APIs

Bias Detection and Mitigation in NLP Models

Graph Neural Networks for Drug Discovery Predictions

AI-Driven Compiler Optimization for Parallel Processing

Augmented Reality Interfaces for Assistive Technologies

Formal Verification of Smart Contract Security

Neuro-Symbolic Systems for Commonsense Reasoning

Real-Time Multi-Agent Coordination for Swarm Robotics

Data Provenance Systems Using Distributed Ledgers

Energy-Efficient Scheduling in Edge Computing Architectures

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