Organizations in Canada are undergoing revolutionary changes to interpret and manage large amounts of information collected through web sites, transactions, records, and images. This information, known as Big Data, allows businesses to help effectively forecast, plan, and make informed decisions through better prediction of future outcomes as well as to provide solutions to many business, social, society, and technological challenges of today. 

The Lambton College Big Data Applied Science, Ontario College Graduate Certificate is focused on utilizing Big Data technology to guide real-world industry decision-making through rich data mining, data management, and data science. The innovative curriculum focuses on topics such as Big Data best practices, data-driven predictive analysis, data management, Big Data’s role and impact in organizations and society, and how Big Data is utilized to guide business decisions, forecasting, and planning. 

In combination with Big Data technologies, business intelligence tools and data analytics, students blend theoretical knowledge with hands-on skills for data collection, data set manipulation, exploratory analysis, data formats, and programming languages for processing massively large data sets. In addition to a full range of enhanced deployment skills, analytics and computing theory, students apply these skills to a variety of cutting-edge, open-source and vendor-specific business solutions. Graduates of the program may be employed in roles such as Data Analyst, Analytics Specialist, Business Analytics Specialist, Big Data Developer, Data Insights Analyst, Data Scientist, or related fields.

This Lambton College program is licensed to and delivered by Queen's College (PDF), a licensed private career college in Mississauga, Ontario. Students that are registered at Lambton in Mississauga are students of a public college and as such, will receive full credit from Lambton College for all Lambton College courses completed at the Queen's College campus in Mississauga. Students who meet program graduation requirements will graduate with a credential from Lambton College.

Admission Requirements

A University Degree or College Diploma or Advanced Diploma in computers, mathematics, engineering, statistics or related discipline.

The admissions process is competitive and meeting the minimum academic requirements does not guarantee admission.

English Language Requirements

IELTS (International English Language Testing Score) of 6.0
- or -
IELTS of 5.5 + Completion of EAP-3106 (English for Academic Purposes) during first semester of study.
-or-
Passed Lambton Institute of English placement test

Meeting the minimum English requirements does not guarantee admission. Students with higher English proficiency scores will receive priority in the admission assessment process.

Employment Opportunities

Career positions may include, but are not limited to:

  • Analytics Visualization Analyst
  • Applications Developer
  • Big Data Architect
  • Big Data Analytics Developer
  • Big Data Developer (Hadoop, Sparks, R, Java, Python)
  • Big Data Hardware Engineer
  • Big Data Security/Threats Analyst
  • Business Data Analyst
  • Business Intelligence Analyst
  • Project Manager Data Scientist

For information about post-graduate work eligibility for international students, please review the Post-Graduate Work Permit Program information.