Developing new ways to interpret large amounts of information collected through web sites, transactions, records, and images can help provide solutions to many business, social, society, and technological challenges of today. Big data enables users to make informed decisions and better predict future outcomes. 

The Lambton College Big Data - Science & Informatics, Ontario College Graduate Certificate is focused on utilizing big data technology for unstructured data to help guide industry decision-making. The innovative curriculum will focus on topics such as information administration, and development. In combination with Business Intelligence tools, data analytics, and cloud computing, students will blend theoretical knowledge with hands-on skills to learn to capture, collect, curate, search, analyze and store complex data sets that are utilized by organizations to guide business decisions. 

The final semester will enhance all learning outcomes through a co-operative education or applied project work term. In addition to a full range of enhanced virtualization deployment skills, data analytics and cloud computing theory, students apply these skills to a variety of cutting-edge open-source and vendor-specific virtualization solutions. 

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
(Increasing to 6.5 for September 2017)

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

  • 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