The MSCS at CMU propels high-potential developers into research-savvy engineers. Coursework is individually tailored—choose advanced algorithms with a Turing Award laureate, distributed systems in the Parallel Data Lab, or privacy engineering in CyLab. Thesis or project options let you publish at top venues such as SIGCOMM or ACL, while internships at FAANG, autonomous-vehicle unicorns, or the Software Engineering Institute sharpen real-world impact.
Byzantine-fault-tolerant consensus protocol optimized for edge clusters
CompCert-style formally verified JIT compiler for WebAssembly
Zero-knowledge proof system enabling private carbon markets
LLVM pass injecting energy-profiling hooks for green software metrics
Large-scale code-clone detector using graph neural networks
Augmented-reality IDE visualizing program dependency graphs
Serverless framework reducing cold-start latency via predictive caching
Dataset and benchmark suite for secure multi-party ML training
Post-quantum cryptography library implementation and side-channel audit
Rust-based microkernel for safety-critical UAV control
Interactive textbook generator synthesizing algorithm visualizations on demand
Explainable anomaly-detection system for industrial control networks
Hybrid static-dynamic analysis catching injection flaws in LLM plug-ins
Query optimizer for graph databases using reinforcement learning
Policy brief on open-source software security incentives
Advance theory and engineer at scale with CMU’s legendary MSCS.
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