Graduate Certificate in Big Data Analytics

Georgian College

Barrie, Ontario, Canada
Graduate Certificate in Big Data Analytics
Duration12 Months
LevelMasters Certificate Program
  • Big Data allows users to visualize past, present, and future patterns by linking and presenting information in meaningful ways
  • Data Analytics offers deeper insight into the meaning of data sets by telling the story behind the information
  • This program enables stakeholders to make more informed decisions, predict trends and better understand the needs and sentiments of customers
  • This program provides students with a unique blend of theoretical knowledge and applied skills
  • Students will learn how to collect, curate, manipulate, encode, and store data sets so they can be analyzed and mined in such a way that they can be reused and repurposed to solve challenges that don’t yet exist
  • Students will study courses like Data Manipulation Techniques, Information Encoding Standards, Data Systems Architecture, Business Processes, and Modelling, Mathematics for Data Analytics, etc.
  • The graduate has reliably demonstrated the ability to:
    • Collect, manipulate and mine data sets to meet an organizational need
    • Recommend different systems architectures and data storage technologies to support data analytics
    • Design data models that meet the needs of a specific business process, etc.
Fees componentsAmount
Tuition & fees1026040 INR
Hostel & Meals573936 INR
Insurance37935 INR
Total611871 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • Applicants must have a Post-secondary diploma, degree or equivalent
  • It is recommended that the applicant have a specialty in science, technology, engineering, mathematics, or business
ExamsIELTS: 6.5

Additional info
  • To be successful in this program, students are required to have a personal notebook computer (either PC or Mac architecture) prior to the start of the program that meets or exceeds the following hardware specifications:
    • Intel i5 processor or AMD equivalent
    • 8GB of memory (16 GB recommended)
    • 250GB hard drive (SSD recommended)
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