Jointly offered by SEAS and the Faculty of Arts & Sciences, Harvard’s MS in Data Science anchors learners in statistics, machine learning, and scalable systems while challenging them to tackle social-impact problems. Cohorts collaborate with the Harvard Data Science Initiative, deploy models on cloud GPUs, and debate ethics in algorithmic decision-making. Capstones range from cancer-omics to Boston traffic prediction, launching grads into AI research labs, fintech, and civic-tech startups.
Graph-neural-network detecting fraud in real-time payments
Differential-privacy pipeline for public health microdata
Transformer model summarizing legal documents for pro-bono clinics
Reinforcement-learning agent optimizing campus micro-grid energy
Computer-vision system classifying coral-reef health from drones
Bias audit toolkit for facial-recognition APIs
Geospatial LSTM forecasting urban heat-island hotspots
Explainable-AI dashboard for clinical-decision support
Recommendation engine connecting job-seekers to green-economy roles
Synthetic-data generator for privacy-preserving fintech analytics
Bayesian A/B testing service for ed-tech learning modules
Capstone on zero-shot language models for rare-disease literature
Podcast exploring data-ethics failures and fixes
Hackathon prototype predicting refugee-camp supply needs
Edge-ML pipeline detecting illegal logging via acoustic sensors
Interactive courseware teaching high-schoolers AI ethics
CO₂-footprint tracker for corporate logistics using IoT data
RAG (retrieval-augmented generation) chatbot for university archives
Bridge algorithms and ethics to solve real-world problems with data.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.
