DASH Event

Info Session – UBC Micro-certificate Programs with DASH

December 9, 2026, 12:00 pm to 1:00 pm

Virtual event
Info Session Image

Free Info Session: Learn about our UBC Micro-certificate in Natural Language Processing and Health Data Analytics

Join our free info session to learn more about our UBC Micro-certificate Programs:  

Created by the UBC Department of Medicine and the UBC Data Science Institute, these part-time programs are designed for healthcare professionals who work with large health datasets, patient records, clinical notes, and other healthcare documents. Developed to meet the growing need for data analytics and AI skills in healthcare, the programs provide foundational training in healthcare analytics and natural language processing to support clinical decision-making and enhance patient care. 

Funding opportunity:  

  • The Natural Language Processing to Improve Patient Care Program is eligible for the StrongerBC Future Skills Grant (FSG), which can cover up to $3,500 in eligible short-term training at public post-secondary institutions. Limited seats are available. FSG funding for the Health Data Analytics Program has now been fully allocated and is no longer available. 
  • To support learners returning to the workforce, DASH will be offering two student bursaries covering 50% of tuition for the January 2027 Health Data Analytics micro-certificate. Eligible applicants must be actively seeking employment or planning to return to work in healthcare or a related field and commit to completing all three courses in the program.

Join the information session to learn more about the programs, meet the instructors, and ask your questions. 

  • Date: December 9, 2026 
  • Time: 12:00 PM-1:00 PM (PCT)  
  • Who should attend: Healthcare professionals, clinical or operational staff, researchers, and data teams who work with clinical text and patient records   
  • Where: Online via Zoom  

 

 

For more information or additional questions, please contact info.exl@ubc.ca. 

 


  • DASH Event

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