Partners | UBC Master of Data Science

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UBC Master of Data Science

One of the strengths of the Master of Data Science at UBC is its extensive network of industry partners. These partners were key contributors to the the design of the program, and also provide students with the opportunity to get real-world experience in a variety of different roles and industries through their eight-week capstone project.

Featured Capstone Projects

Fresh Prep

Predicting Customer Order Probabilities

Students of UBC’s Master of Data Science program in Vancouver worked with Fresh Prep to design a dashboard tool that not only helped the meal kit delivery company predict its future orders but also provided the insights needed to help Fresh Prep better serve its existing customers and improve their order rate.

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E-Comm 9-1-1

Saving Lives and Protecting Property with a Predictive Staffing Model

Working with E-Comm 9-1-1—a multi-municipality emergency communications agency serving British Columbia—UBC Master of Data Science students looked at how the agency’s existing data could be used to create call-taking and dispatch schedules that would correspond with shifting call volumes based on time of day, day of week, and holidays or special events throughout the year.

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City of Kelowna

Preparing for the Next Chapter of Culture in Kelowna

In partnership with the City of Kelowna, students of UBC’s Master of Data Science Okanagan program trained machines to uncover trends and insights into the community’s cultural needs. The knowledge gained not only helped inform the City’s Cultural Plan, it helped the local government connect in a real way with its citizens.

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Capstone Projects

Vancouver

BC Stats

Quantifying the Responses to Open-Ended Survey Questions

BCG Engineering

Automated Landslide Detection and Delineation from LiDAR Images

BCMEA

Improving Labour Forecasting to Promote the Competitiveness of BC Ports

Hero Ventures

Seahorse Strategies: Predicting the Stock Market

Providence Health Care

Forecasting of Staffing Needs

QxMD

Project #1: Generate cross-product recommendations
Project #2: Delivering Better Care Through Education

Realtor.com

Estimate the Value of Key Local attributes used in buying decisions

SAP and Teejlab

Enhancing the Teejlab Analyzer for Data Service Agreements

Tetrad

Forecasting Restaurant Sales with Mobile Device Location Data

TRIUMF

NA62 Particle Classification

UBC Sauder School of Business

Extracting a Corporate Social Network from SEC Filings

Urban Logiq

Indicators of Crash Severity

Okanagan

GetintheLoop

Customer Engagement Factors for Online Marketing

Interior Health

Determinations of Populations affected by Fatal and Non-fatal Overdoses

Okanagan Planning and Institutional Research

Using Machine Learning for Sentiment Analysis in Survey Text Responses

Scotia Bank

Sampling Methodology for Time-Dependent Data

Seekers Media

Marketing Campaign Visualization and Audience Impact

Statistics Canada

Project #1: Developing open data statistics with the Open Database of Buildings
Project #2: Data Visualization Project on a Food/Nutrition Data Model

Past Capstone Projects

BC Stats

2018: Discovering Thematic Categories from Survey Comments
2017: Empowering Employee Engagement through AI - Government of BC

BGC Engineering

2018: Anomaly Detection and Flood Forecasting using Real-time Hydrometric Data

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Coast Mountain Bus Company

2017: Bringing clarity to transit congestion

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Destination British Columbia

2018: Predicting Conversion Rates for Tourism Advertisements on Facebook and Instagram

Finn AI

2018: Helping AI Recognize Intent

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Microsoft

2018: Web traffic Prediction for msn.com

QxMD

2018: Building a Recommendation System for Medical Research Papers

Rio Tinto

2017: Tools for Analyzing Mining Drill Data

Semios

2018: Binary Classification of Leaf Wetness Using Sensor Data

TeejLab

2018: Automated Legal Risk Assessment on Web Service License Changes

UBC Centre for Teaching, Learning and Technology

2017: Visualizing massive open online courses

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UBC Sauder School of Business

2018: Extracting Features from Financial Documents for Predicting Firm Performance

Unbounce

2018: Using Survival Analysis to Finding Leading Indicators of Customer Churn

Visier

2018: Automated Human Resources Insight Discovery

Partner with Us

Do you have an idea for a Capstone Project? Please visit our Employer page for more information.