MS Data Science & Product Management

Program overview

A double-path master's: a shared analytical core, then two named pathways — Data Science (modeling, ML engineering, experimentation) and Product Management (discovery, roadmapping, metrics) — closing with a dual-track capstone that ships a data-informed product decision. For analysts moving into product and PMs who need real quantitative depth.

What you will study

Dual-Track Capstone: Data-Informed Product Decision
Statistics & Experimental Design for Decisions
Data Engineering & Analytics Foundations
Product Discovery, Users & Value
Research Methods & Identity-Checked Assessment
Machine Learning Theory & Practice
Predictive Modelling & Forecasting
ML Systems, Deployment & Monitoring
Causal Inference & Uplift Modelling
Roadmapping, Prioritisation & OKRs
Metrics, Analytics & Growth Experiments
Pricing, Packaging & Go-to-Market

How to apply

Complete the online form, which saves from the first step, pay the $30 application fee, and upload your documents. Admissions emails you the decision.

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