Partners

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.

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.

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.

Vancouver

aDolus

Unearthing Hidden Vulnerabilities in Mission Critical Software

Analytika

Project #1: Smart Agriculture

Project #2: Wells Timelines

BC Stats

Text Analytics: Quantifying the Responses to Open-Ended Survey Questions

BCG Engineering

Project #1: How high’s is the water mama?…Data Driven Flood Forecasting

Project #2: Undisclosed Tailings Dams…Automated Tailings Dam Detection from Satellite Data

Biba Ventures

Using Machine Learning to Predict Playground Usage Across the Continent

E-Comm 9-1-1

SOP Consolidation to Save Lives and Property

Glentel

Making sense of people data

Goldspot Discoveries

Core Photo Analysis

Hero Ventures

Seahorse Strategies: Seahorse Momentum Indicator (SMI)

MDA

Image Captioning of Overhead Earth Observation Imagery

Merchant Growth

Merchant Score: Intelligent Credit Decisioning for Risk Management

Pay by Phone

Crowdsourced parking locations

Realtor.com

Photo-realistic Neighborhood Image Synthesis

Riversol

E-Commerce Domination in Highly Competitive Markets Driven by Data Science

The Deetken Group

Evolving Vancouver: Forecasting the Evolution of Vancouver's Business Landscape

Translink

Project #1: Vision over Transit Incidents & Claims

Project #2: “Why is my bus late?” Understanding Bus Delay in Metro Vancouver

Project #3: Optimizing Transit Stops

Urban Logiq

Project #1: Contextual analysis of amenity and service gaps through the evaluation of transportation accessibility in at-risk communities

Project #2: Analysis of Connected Vehicle Driving Behaviour as a Predictor of Accidents

Vancouver Whitecaps

Project #1: Modelling the Physical Performances of the Vancouver Whitecaps

Project #2: Understanding Players' Offensive and Defensive Performance in Major League Soccer

Okanagan

Agriculture and Agri-Food Canada

Tree Fruit Breeding and Phenomics for Cherries

BC Cancer - Kelowna

Project #1: Improving access: a predictive modeling tool for physician resource planning

Project #2: Understanding cancer demographics for cancer patients from Interior of B.C.

Fleetmetrica Inc.

Driver Risk Assessment Model Using Telematics Data

Interior Health

Patterns of drug checking service use and results associated with a music festival in BC’s Interior region

Kelly Klee Insurance

Predictability of Kelly Klee Customers

Statistics Canada

Modeling and Visualization of the COVID-19 Outbreak in Ontario

Two Hat Security Research

Identification of Patterns and Metrics to Distinguish Toxic and Non-Toxic Reddit Communities

UBC (Urban Data Lab)

Building Energy Use Profile Visualizations

Computational Linguistics

Better Dwelling

Does News Report Manipulate Financial Markets

CRIM

Discovering Words by Their Neighbours: a Dissimilarity-Based Concordance

Informed Opinions

NLP for Social Change – The Gender Gap Tracker

Minerva Intelligence

Mineral Occurrence Text Extractor

Thomson Reuters

Next Generation Conceptual Tagging

UBC’s Peter A. Allard School of Law

What do BC Courts Award in Damages for Negligence? An Evaluation of all 600 Reported Cases of Negligence in BC Courts Post 2000

Unbounce

Closing the Feedback Loop: Identifying Customer Pain Points through NLP

Past Capstone Projects

BC Stats - MDS Vancouver

2019: Quantifying the Responses to Open-Ended Survey Question

2018: Discovering Thematic Categories from Survey Comments

2017: Empowering Employee Engagement through AI - Government of BC

BCMEA - MDS Vancouver

2019: Improving Labour Forecasting to Promote the Competitiveness of BC Ports

BGC Engineering - MDS Vancouver

2019: Automated Landslide Detection and Delineation from LiDAR Images

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

Coast Mountain Bus Company - MDS Vancouver

2017: Bringing clarity to transit congestion

Destination British Columbia - MDS Vancouver

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

Finn AI - MDS Vancouver

2018: Helping AI Recognize Intent

GetintheLoop - MDS Okanagan

2019: Customer Engagement Factors for Online Marketing

Hero Ventures - MDS Vancouver

2019: Seahorse Strategies: Predicting the Stock Market

Interior Health - MDS Okanagan

2018: Determinations of Populations affected by Fatal and Non-fatal Overdoses

Microsoft - MDS Vancouver

2018: Web traffic Prediction for msn.com

Okanagan Planning and Institutional Research - MDS Okanagan

2019: Using Machine Learning for Sentiment Analysis in Survey Text Responses

Providence Health Care - MDS Vancouver

2019: Forecasting of Staffing Needs

QxMD - MDS Vancouver

2019: Project #1: Generate cross-product recommendations
2019: Project #2: Delivering Better Care Through Education

2018: Building a Recommendation System for Medical Research Papers

Realtor.com - MDS Vancouver

2019: Estimate the Value of Key Local attributes used in buying decisions

Rio Tinto - MDS Vancouver

2017: Tools for Analyzing Mining Drill Data

SAP and Teejlab - MDS Vancouver

2019: Enhancing the Teejlab Analyzer for Data Service Agreements

Scotiabank - MDS Okanagan

2019: Sampling Methodology for Time-Dependent Data

Seekers Media - MDS Okanagan

2019: Marketing Campaign Visualization and Audience Impact

Semios - MDS Vancouver

2018: Binary Classification of Leaf Wetness Using Sensor Data

Statistics Canada - MDS Okanagan

2019: Project #1: Developing open data statistics with the Open Database of Buildings

2019: Project #2: Data Visualization Project on a Food/Nutrition Data Model