The MSCS at Northwestern empowers developers to push technical and ethical frontiers across AI, systems, and interactive computing. Students contribute to labs in social robotics, distributed security, and computational journalism, publishing at NeurIPS, CHI, and SOSP. Coursework integrates advanced algorithms, trustworthy machine learning, and mixed-reality design, while an entrepreneurship clinic turns code into venture-backed products.
Develop federated-learning pipelines preserving privacy in smart-home IoT
Design a zero-knowledge proof protocol enabling anonymous ride-sharing verification
Create a mixed-reality telepresence platform with adaptive network QoS control
Implement causal-inference models debiasing recidivism risk scores
Prototype a graph database surfacing supply-chain ESG violations via web scraping
Build an LLM-powered IDE assistant auto-hardening code against OWASP flaws
Test consensus algorithms for permissioned blockchains in fintech settlement
Design generative-AI storyboarding tools for independent filmmakers
Evaluate carbon-aware Kubernetes scheduling algorithms on multi-cloud clusters
Construct interpretable CNNs diagnosing skin lesions with heatmap explanations
Research haptic-feedback APIs enhancing accessibility in VR learning
Develop real-time speech-to-sign-language avatars using transformers
Analyze misinformation propagation on encrypted platforms via metadata inference
Create an NLP toolkit summarizing SEC filings for retail investors
Write a policy brief on algorithmic-auditing standards for generative AI models
Code ethically and innovate boldly with Northwestern MSCS.
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