Data Science & Computing

Data, turned into decisions.

A rigorous program in statistics, systems and computing, training students to build the data infrastructure and analysis that AI and robotics work depends on.

Data Science & Computing covers the full stack behind modern intelligent systems: databases and distributed systems, statistical inference, and the software engineering discipline to ship reliable data pipelines. Students leave able to design a data system from scratch, not just run a notebook someone else built.

Statistics & Probability
Databases & Distributed Systems
Data Engineering
Software Engineering Fundamentals
Cloud & Systems Architecture
Applied Analytics Projects

Start a data science & computing project → ← All capabilities

How we work

01

Core Systems

Databases, algorithms and software engineering fundamentals that every other course builds on.

02

Analysis

Statistical methods and applied analytics, tested against real, messy datasets rather than cleaned-up examples.

03

Scale

Distributed systems and cloud architecture, so students can build data infrastructure that holds up under load.

04

Capstone

An end-to-end data product, from ingestion to a decision it actually informs.

Related work

Clinical Triage Language ModelNational Data Science Competition WinCampus Energy Optimization Venture

Other disciplines

Artificial IntelligenceRobotics EngineeringBusiness & Technology Management
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