Industry 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

Biba Ventures - MDS Vancouver

Using Machine Learning to Predict Playground Usage

A team of UBC MDS Vancouver students worked with Biba, a smart playground company, to build several learning models in order to estimate the number of monthly sessions at particular playgrounds within a given month.

Statistics Canada - MDS Okanagan

In partnership with Statistics Canada, students of UBC’s Master of Data Science Okanagan program used clustering methods, principal component analysis and principal component regression to provide greater insight into the spread of COVID-19 among of long-term care homes. The project showcased how leveraging various open data sources can produce comprehensive and meaningful results.

UBC Linguistics - MDS Computational Linguistics

As a result of a question posed by UBC Linguistics and French, Hispanic, and Italian Studies faculty, a group of UBC MDS Computational Linguistics students embarked on the first phase of a project that could improve graded readers for any language. The capstone project focused on A1, A2, and B level documents for the Spanish language, but it laid the foundation for the creation of a universal reader.  

Capstone Projects


    Transforming Customer Experiences

    BC Centre on Substance Abuse

    Using Data Science to Identify and Visualize Novel Compounds in Illicit Drug Checking Samples

    BC Stats

    Understanding Voting Method Choices in the 2020 BC General Elections

    British Columbia Investment Management Corporation (BCI)

    What Can SEC 10-K Textual Disclosures Tell Us About a Firm’s Earnings Quality and Future Stock Returns?


    Using Time Series Temperature Data to Determine Well Productivity


    • Project #1: Detecting Emerging Topics, Trends and Anomalies from Call Center Transcripts
    • Project #2: Understanding & Predicting Customer Satisfaction Using Vocal Features

    Gerontology and Diabetes Research Laboratory (GDRL)

    • Project #1: Machine Learning Approaches to Diagnosing Lipohypertrophy at the Bedside
    • Project #2:  Machine Learning Approaches to Falls Prediction in Long Term Care


    People Analytics

    Goldspot Discoveries Corp.

    Automated Drill Core Logging Through the Lens of Machine Learning and Deep Learning

    Government of Canada Web Analytics Team

    Determining the Use Cases Across Data Science Sub-Fields for the Government of Canada's Web Analytics Operations


    Customer Segmentation Using Hootsuite Product Usage Data

    Newsly Technologies Inc.

    Audio Listening Preferences

    Orbis Investments

    Earning Calls Deception Analysis


    Anomaly Detection

    Properly Inc

    Image Processing: Quantifying the Home Condition from Property Images

    • Project #1: Identifying Real Estate Investment Opportunities Using Machine Learning
    • Project #2: Will They, or Won't They? Return User Prediction

    Sensing in Biomechanical Processes Lab (SimPL)

    Extracting and Visualizing the Human Brain State Using EEG Data

    University of British Columbia

    Defend UBC

    Vancouver Whitecaps

    • Project #1: Football Fortune Telling: Predicting MLS Performance
    • Project #2: Match Fit - Using Optical Tracking Data to Evaluate MLS Players’ Power, Fitness & Fatigue


    Developing a Fleet Risk Model Using a Machine Learning Approach


    Identifying Patient Care Gaps Through the Analysis of Electronic Medical Record (EMR) Data

    MNP Technology Solutions

    E-commerce and it's Challenges


    Market Analytics

    Siemens Healthineers

    Image Classification of Biosensor Prints

    Statistics Canada

    Project #1: COVID-19 - Canadian Employment Wage Subsidy: An Analysis​
    Project #2: Incorporating Public Transit into Measures of Accessibility​

    UBC (Urban Data Lab)

    UBC Sustainability Performance Dashboard​


    ASR Data Inspector


    People Analytics

    Government of Canada Web Analytics Team

    Determining the Use Cases Across Data Science Sub-Fields for the Government of Canada's Web Analytics Operations


    Automatic Inference of Reader Attributed from Blog Content

    Happiness in One Model: Cross-Lingual NER for Low-Resource Languages

    The Sea Around Us

    Estimation of Worldwide MPAS Protection through a Novel Questionnaire

    Thomson Reuters

    Improving Search with Deep Learning for a Marketing Leading Accounting Research Platform


    2020: Unearthing Hidden Vulnerabilities in Mission Critical Software

    Agriculture and Agri-Food Canada - MDS Okanagan

    2020: Improving Cherry Grading


    • 2020: Project #1: Smart Agriculture
    • 2020: Project #2: Wells Timelines

    BC Stats

    • 2020: Text Analytics: Quantifying the Responses to Open-Ended Survey Questions
    • 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

    Better Dwelling - MDS Computational Linguistics

    2020: Does News Report Manipulate Financial Markets

    BGC Engineering - MDS Vancouver

    • 2020: Project #1: How high’s is the water mama?…Data Driven Flood Forecasting
    • 2020: Project #2: Undisclosed Tailings Dams…Automated Tailings Dam Detection from Satellite Data
    • 2019: Automated Landslide Detection and Delineation from LiDAR Images
    • 2018: Anomaly Detection and Flood Forecasting using Real-time Hydrometric Data

    City of Kelowna - MDS Okanagan

    2019: Preparing for the Next Chapter of Culture in Kelowna

    Coast Mountain Bus Company - MDS Vancouver

    2017: Bringing clarity to transit congestion

    CRIM - MDS Computational Linguistics

    2020: Discovering Words by Their Neighbours: a Dissimilarity-Based Concordance

    Destination British Columbia - MDS Vancouver

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

    E-Comm 9-1-1 - MDS Vancouver

    • 2020: SOP Consolidation to Save Lives and Property
    • 2019: Saving Lives and Protecting Property with a Predictive Staffing Model

    Finn AI - MDS Vancouver

    2018: Helping AI Recognize Intent

    Fleetmetrica Inc. - MDS Okanagan

    2020: Driver Risk Assessment Model Using Telematics Data

    Fresh Prep - MDS Vancouver

    2019: Predicting Customer Order Probabilities

    GetintheLoop - MDS Okanagan

    2019: Customer Engagement Factors for Online Marketing

    Glentel - MDS Vancouver

    2020: Making sense of people data

    Goldspot Discoveries - MDS Vancouver

    2020: Core Photo Analysis

    Hero Ventures - MDS Vancouver

    • 2020: Seahorse Strategies: Seahorse Momentum Indicator (SMI)
    • 2019: Seahorse Strategies: Predicting the Stock Market

    Informed Opinions - MDS Computational Linguistics

    2020: NLP for Social Change – The Gender Gap Tracker

    Interior Health - MDS Okanagan

    • 2020: Patterns of drug checking service use and results associated with a music festival in BC’s Interior region
    • 2018: Determinations of Populations affected by Fatal and Non-fatal Overdoses

    Kelly Klee Insurance - MDS Okanagan

    2020: Predictability of Kelly Klee Customers

    MDA - MDS Vancouver

    2020: Image Captioning of Overhead Earth Observation Imagery

    Merchant Growth - MDS Vancouver

    2020: Merchant Score: Intelligent Credit Decisioning for Risk Management

    Microsoft - MDS Vancouver

    2018: Web traffic Prediction for

    Minerva Intelligence - MDS Computational Linguistics

    2020: Mineral Occurrence Text Extractor

    Okanagan Planning and Institutional Research - MDS Okanagan

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

    Pay by Phone - MDS Vancouver

    2020: Crowdsourced parking locations

    Providence Health Care 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 - MDS Vancouver

    • 2020: Photo-realistic Neighborhood Image Synthesis
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    • 2019: Estimate the Value of Key Local attributes used in buying decisions

    Rio Tinto - MDS Vancouver

    2017: Tools for Analyzing Mining Drill Data

    Riversol - MDS Vancouver

    2020: E-Commerce Domination in Highly Competitive Markets Driven by Data Science

    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

    TeejLab - MDS Vancouver

    2018: Automated Legal Risk Assessment on Web Service License Changes

    Tetrad - MDS Vancouver

    2019: Forecasting Restaurant Sales with Mobile Device Location Data

    The Deetken Group - MDS Vancouver

    2020: Evolving Vancouver: Forecasting the Evolution of Vancouver's Business Landscape

    Thomson Reuters - MDS Computational Linguistics

    2020: Next Generation Conceptual Tagging

    Translink - MDS Vancouver

    • 2020: Project #1: Vision over Transit Incidents & Claims
    • 2020: Project #2: “Why is my bus late?” Understanding Bus Delay in Metro Vancouver
    • 2020: Project #3: Optimizing Transit Stops

    TRIUMF - MDS Vancouver

    2019: NA62 Particle Classification

    Two Hat Security Research - MDS Okanagan

    2020: Identification of Patterns and Metrics to Distinguish Toxic and Non-Toxic Reddit Communities

    UBC (Urban Data Lab) - MDS Okanagan

    2020: Building Energy Use Profile Visualizations

    UBC Centre for Teaching, Learning and Technology - MDS Vancouver

    2017: Visualizing massive open online courses

    UBC Sauder School of Business - MDS Vancouver

    • 2019: Extracting a Corporate Social Network from SEC Filings
    • 2018: Extracting Features from Financial Documents for Predicting Firm Performance

    UBC’s Peter A. Allard School of Law - MDS Computational Linguistics

    2020: Analysis of BC Negligence Decisions over 20 years

    Unbounce - MDS Computational Linguistics

    2020: Closing the Feedback Loop: Identifying Customer Pain Points through NLP

    Unbounce - MDS Vancouver

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

    Urban Logiq - MDS Vancouver

    2020: Project #1: Analysis of Connected Vehicle Driving Behaviour as a Predictor of Accidents
    2020: Project #2: Contextual analysis of amenity gaps in at-risk communities

    Related Article

    2019: Indicators of Crash Severity

    Vancouver Whitecaps

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

    Related Article

    Project #2: Winning the Goal Differential Race

    Visier - MDS Vancouver

    2018: Automated Human Resources Insight Discovery

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