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Students and Alumni

UBC MDS attracts bright minds from a wide range of backgrounds. Find out more about our students and alumni read about what they were doing prior to joining the program, their experience during the program, and their journey ahead.

Vancouver

Employment Status 6 and 12 Months After Graduation

Employment Positions

Data Science Consultant/Contractor Software Engineer
Software Developer/Data Engineer Research and Innovation Intern
Data Scientist Machine Learning Engineer
Data Management Engineer Consultant
Data Manager Technical Business Analyst
Data Engineer Analyst
Data Analyst Faculty, Operations Management
Research Analyst Application Architect
Faculty/Data Analyst in Residence Artificial Intelligence Industry Analyst Intern
Computational Biologist Business Intelligence Engineer
Senior Data Analyst Data Intelligence Platform Analyst
Business Insights Analyst Quantitative Analyst
Manager Finance and Strategy Fraud Modeler
Machine Learning Developer Senior Data Scientist
Director of Data and Technology Specialist of the Department of Analysis and Strategy
Predictive Analyst Machine Learning Developer
Simulation Manager Director, Compensation Data and Research
Associate Director of Marketing Analytics Manager, Visualization and Support

Job Location

Alumni Incomes

Top Industries Worked In

* Based on MDS Vancouver alumni survey responses 6 months and 1 year after graduation since the class of 2017.

Previous Degree

Where Students Come From

Previous Degree Level

Gender Identification

Years Since Last Degree

Class Size

* Based on all MDS Vancouver cohorts since the class of 2017.

Okanagan

Employment Status 6 and 12 Months After Graduation

Employment Positions

Senior Analytics Specialist Data Analyst, Enterprise Business Intelligence Team
Data Science Research Assistant Data Developer
Public Health Epidemiologist Data Analyst
Research Analyst Data visualization analyst
Senior Data Scientist Director Industry AI
Quality Assurance Engineer Machine Learning engineer
Director, Research and Data Science Data Scientist & Engineer
Data Scientist  

Job Location

Alumni Incomes

Top Industries Worked In

* Based on MDS Okanagan alumni survey responses 6 months and 1 year after graduation since the class of 2019.

Previous degree

Geography

Previous Degree Level

Years Since Last Degree

Gender Identification

Class Size

* Based on all MDS Okanagan cohorts since the class of 2019.

Computational Linguistics

Employment Status 6 Months After Graduation

Employment Positions

Data Analyst Developer
Agile Developer Data Scientist
Software Developer Data Science Intern
Business intelligence developer NLP/Deep Learning Engineer
Language Engineer Machine Learning Engineer
NLU Language Consultant Data Engineer
NLP Machine Learning Engineer AI Developer
Data Extraction Developer Marketing Data Scientist
NLP Data Scientist Software Engineer - NLP/NLU
Computational Linguist Senior Data Analyst
Senior AI Engineer Prompt Engineer

Job Location

Alumni Incomes

Top Industries Worked In

* Based on MDS Computational Linguistics alumni survey responses 6 months after graduation since the class of 2020.

Previous Degree

Geography

Previous degree

Years Since Last Degree

Gender Identification

Class Size

* Based on all MDS Computational Linguistics cohorts since the class of 2020.

Student and Alumni Profiles

    All

    Class of 2020

    Rob Blumberg

    Rob Blumberg, Senior Data Scientist at Validere

    “There are so many smart and friendly people from different educational and cultural backgrounds in MDS, which makes learning and collaborating so much easier.”

    Previous Degree: Bachelor of Science in Physics, McGill University
    Previous Experience: Data Science Intern, BMO Financial Group
    Program: MDS Vancouver, Class of 2020

    It was around my third year of undergrad that I started hearing and learning more about data science. My first real encounter with data science came through my passion for soccer, as I discovered articles and blog posts explaining how data science is used to inform decisions across various departments in professional clubs. I was particularly interested in learning about these models and algorithms that were capable of uncovering meaningful insights about soccer games from data which did not seem to contain obvious patterns

    About Rob Blumberg

    Prior to MDS, Rob obtained a Bachelor of Science in Physics from McGill University. Right before starting the MDS program, Rob interned as a data scientist at BMO, where he worked on the People Analytics team. His team analyzed employee data, and his job was to analyze employee exit surveys to find out what was driving voluntary turnover. Read Rob's story.

    Alistair Clark

    Alistair Clark, Director Data Science at Birch Hill Equity Partners

    “I chose the MDS program as a way to quickly build the skills and credibility I needed to transition into data science. I could have tried to build these skills while working at my previous company, but that would have taken longer and would have made it difficult to break into the job market.”

    Previous Degree: Bachelor of Science in Civil Engineering, Queen's University in Kingston, ON
    Prior Experience: Lead Product Developer and Head of Product, I Will Teach/GrowthLab and Management Consultant at Accenture Strategy
    Program: MDS Vancouver, Class of 2020

    At the startup I worked for prior to MDS, I was facing big questions around our product and market strategy. We had plenty of data from our 40,000 customers and 500,000 email list subscribers, but we were only performing superficial analysis. I knew there were insights we were missing, but no one had the skills or experience to use and interpret the data effectively. I discovered the field of data science while looking for new tools and techniques to analyze our data.

    About Alistair Clark

    Prior to the MDS program, Alistair was the Lead Product Developer and Head of Product for I Will Teach/Growth Labs, an online e-learning startup. He also worked for 4 years as a management consultant with Accenture Strategy focused on financial modelling and business cases. Alistair came to the world of data science while looking for a better way to analyze customer data and make decisions about product and market strategy. Alistair holds a Bachelor of Science in Civil Engineering from Queen's University at Kingston.

    Ravi Gill, MDS Computational Linguistics

    Ravi Gill, Validation Engineer at Intel Corporation

    “The program exposed us to most of the big topics in computational linguistics such as sentiment analysis, text classification, or machine translation…I believe many companies would be ecstatic to find talent fresh out of university with these skills.”

    Previous Degree: Bachelor of Computer Science, Vancouver Island University
    Prior Experience: Performance Analyst Co-Op, TELUS
    Program: MDS Computational Linguistics, Class of 2020

    I was fully committed to finishing my bachelor’s and moving directly into a software position. My senior project in undergrad was a basic machine learning project where I attempted to look at social media metadata over time (number of likes, shares, etc) and try to predict the next most popular musician. This led to an 8-month co-op with TELUS which focused heavily on machine learning and text processing. This changed my perspective and interests from programming for software to programming for data science.

    About Ravi Gill

    After obtaining his Bachelor of Science degree in Computer Science from Vancouver Island University, Nanaimo, BC native Ravi Gill didn’t want to move too far away from home to pursue a master’s degree in data science. Ravi’s 8-month co-op with TELUS changed his interest from software programming to programming for data science.

    Read Ravi's story.

    Cari Gostic

    Cari Gostic, Data Scientist at Sonoma Technology Inc.

    I’m finishing the program with confidence that I can pick up on new platforms, languages, methodologies, and frameworks on the fly.”  

    Previous Degree: Bachelor of Science in Atmospheric Sciences, Cornell University
    Previous Experience: Analyst, Consulting Team, Risk Management Solutions (RMS)
    Program: MDS Vancouver, Class of 2020

    I decided to pursue data science because it combines everything I like about research -- uncovering insights, the thrill of discovery, working with new and interesting data -- but is extensible across all fields. I love the idea that I can apply this skill-set effectively in completely different topics from day to day. It makes the future very exciting, because rather than looking for a specific type of job, I can instead look for a specific type of company whose mission and values I really believe in.

    About Cari Gostic

    New York-native Cari came to the MDS program after previously working as an analyst on the consulting team with Risk Management Solutions, a catastrophe modeling company. While working with RMS, Cari worked to streamline the integration of RMS software into clients’ workflows and complete custom projects like in-depth analyses of exposure or custom app development. Cari holds a Bachelor of Science degree in Atmospheric Science from Cornell University. Read Cari's story.

    Niki Hajmoshir MDS Computational Linguistics

    Niki Hajmoshir, Language Engineer at Amazon

    “What I really like about this program is that we get more hands-on experience and work with data sets and corpora so when we go into industry we won’t be lost because we know how to handle these things.”

    Previous Degree: Bachelor's in Medical Laboratory Science, University of British Columbia
    Program: MDS Computational Linguistics, Class of 2020

    Everything I am learning in MDS CL, from coding to statistics to Natural Language Processing is all interesting, relevant and applicable to what we've seen every day in the world. It makes you think how I can use this in my life and I like how the instructors put it in a way that I can easily apply these to multiple fields.

    About Niki Hajmoshir

    Niki received her Bachelor's in Medical Laboratory Science from the University of British Columbia. It was towards the last few years of her degree that Niki realized she wanted to switch fields into something more computer related and found herself working on projects that used Natural Language Processing. This resulted in Niki becoming very interested in Computational Linguistics and to apply to the MDS CL program. Meet Niki.

    Christian Hluchy

    Christian Hluchy, Data Scientist at Irwin's Safety and Industrial Labour Services Ltd

    “The smaller cohort in the Okanagan makes it more personable and it makes me feel more connected to the program."

    Previous Degree: Master's of Business Administration, University of British Columbia
    Program: MDS Okanagan, Class of 2020

    While I was born and raised in Kelowna, I always knew I wanted to pursue an education in a different city. After obtaining my undergraduate degree from the University of British Columbia’s Vancouver campus, I worked for seven years before returning to UBC, where I obtained my master’s degree. I then moved to Calgary where, in my operations role using large data sets to inform drilling locations, I began to see the importance and value of data analysis. When it came time to return to the Okanagan while also pursuing a master’s degree in data science, the more research I did about the MDS program at UBCO, I knew it was the right fit.  Now I’m combining my business acumen and technical background with working knowledge taught in the MDS program.

    About Christian Hluchy

    A Kelowna native, Christian relocated to Vancouver where he received his undergraduate degree in Chemical Engineering from the University of British Columbia.  Christian then obtained a Master’s degree in Business Administration nearly a decade later, also from the University of British Columbia, before moving to Alberta to pursue a career in the oil and gas sector. After a successful stint as an operations manager that exposed him to the value of statistical analysis, Christian began looking for different career options that would help him find employment in the Okanagan. His research into the best data science program led him directly to MDS program on the UBCO campus, where he has excelled in the smaller learning environment. Christian hopes to combine his business background with the working knowledge taught in the MDS program to pursue a data related role in the Okanagan.

    Kaitlyn Hobbs

    Kaitlyn Hobbs, Data Scientist at Statistics Canada

    “UBC MDS Okanagan offers intimate class sizes and specialized professors that motivate participation, networking, and rapid skill development.”

    Previous Degree: Bachelor of Medical Sciences Degree with an Honors Specialization in Biochemistry, Western University's Schulich School of Medicine & Dentistry
    Program: MDS Okanagan, Class of 2020

    [While completing my undergraduate studies], I was lucky to land myself in dry labs, where I found myself enjoying statistical analysis and introductory-level programming. I wanted to elevate my foundational skills as I believe . . . data science is an effective tool that leads to a measurably impactful career in an array of disciplines. When looking at programs with accelerated learning combined with small class sizes and a campus with a close-knit community feel, the MDS program on the UBCO campus presented itself as the perfect fit. I hope to utilize the working knowledge taught in the MDS program to pursue a data related role in the global health sector.

    About Kaitlyn Hobbs

    Originally from Mississauga, Ontario, Kaitlyn obtained a Bachelor of Medical Sciences degree from Western University. It was during her undergraduate studies where she developed a deep appreciation for statistical analysis and programming and it was Kaitlyn’s investigation into the best data science program that led her directly to UBCO’s MDS program. Kaitlyn hopes to parlay the knowledge taught in the MDS program on the Okanagan campus into a job in the global health sector, where she would like to work on improving data collection. Read Kaitlyn's story.

    Connor Lee

    Connor Lee, Data Science Engineer at Epic for Kids

    “The UBC MDS Okanagan program provides a fast paced learning environment that provides you with the skills to get started in a career in data science or machine learning.”

    Previous Degree: Bachelor Degree, Mechanical Engineering from the University of Victoria
    Program: MDS Okanagan, Class of 2020

    I gained an interest in improving my data collection and analysis techniques through teaching myself how to use Excel VBA. I started to look into how I could further improve my skills and during this search, I found that data science was the field that employed the skills that I was looking to develop. I searched for programs that offered both small class sizes and an accelerated learning path. I quickly discovered that my best option would be to return home and attend UBCO’s MDS program. Now through the program, I have gained the skills and knowledge to apply for entry level data science, data analyst, and machine learning positions.

    About Connor Lee

    Connor, a native of Vernon, obtained a Bachelor Degree, Mechanical Engineering from the University of Victoria. Having developed a deep appreciation for data collection and analysis techniques, Lee’s desire to improve his technical abilities and love for the Okanagan led him straight to UBCO’s MDS program. Read Connor's story.

    Reiko Okamoto

    Reiko Okamoto, Methodologist at Bruyère Research Institute

    “The MDS program concisely covers a broad range of topics in data science [and] I appreciated how the capstone project guaranteed industry experience.”

    Previous Degree: Bachelor of Science in Microbiology and Immunology, University of British Columbia
    Program: MDS Vancouver, Class of 2020

    [During my Master’s of Science in Public Health], in one class, students were instructed to conduct a literature review on a topic related to public health. I don’t exactly remember why I decided to do this, but I chose to write about the challenges and opportunities in the implementation of data science techniques in healthcare. A few days after I submitted the assignment, I attended a Meetup event on the application of machine learning to biomedical imaging and diagnostics. As I sat in the audience listening to the keynote speaker, I realized that I wanted to pursue a career in data science.

    About Reiko Okamoto

    After completing her Bachelor of Science degree in microbiology and immunology from the University of UBC, Reiko wanted to study diseases beyond the molecular level so she moved to Sweden to pursue a master’s degree in public health to learn more about the application of epidemiological methods to improve population health. However, it was during her time in Sweden that her interest in data science was sparked. Read Reiko's story.

    Chidera Okoma MDS Computational Linguistics

    Chidera Okoma, Business Insight and Analytics Associate at TD

    “I am thankful to the MDS-CL at UBC for arming me with the skills to be a creative problem solver and a great critical thinker. These are skills that experts in the field are renowned for and I am confident that my training at UBC has prepared me adequately.”

    Previous Degree: Bachelor of Engineering, Computer Engineering, Covenant University
    Prior Experience: Data Analyst, BaverianVine Ltd.
    Program: MDS Computational Linguistics, Class of 2020

    I saw the MDS-CL program as a typical MDS program but with the cherry on the cake. It offered mostly what the Master of Data Science offers with an additional focus on natural language processing. This was the deciding factor for me. NLP was important for me because a lot of the data I had come across came as free form texts and it was important that I learnt to work with those.

    About Chidera Okoma

    Chidera holds a Bachelor of Engineering degree in Computer Engineering from Nigeria’s Covenant University. Prior to joining the MDS CL program, Chidera worked as a data analyst with BaverianVine Ltd., a startup that consulted for the largest Nigerian institutions. It was while working in her role as a data analyst that she saw the impact that data insight had in decision-making. Read Chidera's story.