The Master of Science in Computer Science and Engineering at the University of Michigan offers students access to world-class faculty, innovative labs, and a research-driven curriculum. The program emphasizes practical and theoretical foundations across AI, systems, security, networks, data science, and human-centered computing.
Scalable Algorithms for Federated Learning in Edge Devices
Energy-Efficient Neural Network Models for Mobile AI Applications
Blockchain-Based Identity Management in Decentralized Networks
Secure Multiparty Computation for Privacy-Preserving Data Mining
Autonomous Navigation for Drones Using Reinforcement Learning
Deep Learning for Real-Time Emotion Recognition in Video Streams
Designing Resilient Protocols for Wireless Sensor Networks
Automated Vulnerability Detection Using Static Analysis and AI
Optimizing Graph Algorithms for Parallel Computing Architectures
Modeling User Behavior in Adaptive User Interfaces
Comparative Study of Quantum Algorithms in NP-Hard Problem Solving
Natural Language Generation Using Transformer-Based Architectures
AI-Powered Intrusion Detection Systems in Cloud Environments
Design and Evaluation of Real-Time Operating Systems for IoT
Bias Mitigation in Algorithmic Decision-Making Systems
Efficient Data Indexing Techniques for High-Dimensional Spaces
Ethical Frameworks for Autonomous Vehicle Decision Systems
Visual SLAM Systems for Augmented Reality Applications
Cloud-Native Microservices Architecture for Scalable Web Platforms
Simulation and Optimization of Computer Vision Workloads on GPUs
This program prepares students to lead innovation in computing, with strong grounding in algorithms, systems, and real-world applications in industry and academia.
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