Analytics, Big Data and Business Intelligence

Provider:
Course Code:
LEA.DT
Qualification Level:
Diploma
Course Area:
Information Technology
Duration:
24-Month
Study Mode:
Full Time
Location:
Montreal, Quebec, Canada
Course Fees:
CAD 32,000 Per Course
Delivery Mode:
On Campus
Target:
International
Intake:
January and September

Course Structure

Term 1

  1. Introduction to the Computer Work Function – 45 hours
  2. Programming and Problem-Solving Languages – 75 hours
  3. Mathematics Applied to Computer Science – 60 hours
  4. Introduction to Database Operation – 75 hours
  5. Software and Hardware Environment – 60 hours

Term 2

  1. Reporting: Tables and Graphs – 75 hours
  2. Data Warehouses – 75 hours
  3. Object-Oriented Programming – 105 hours
  4. Middleware Technology: Extracto-Loaders – 90 hours

Term 3

  1. Predictive Modeling Process for Big Data – 75 hours
  2. Non-Transactional Master Data Analysis – 90 hours
  3. Cybersecurity and Blockchain – 105 hours
  4. Automation and artificial intelligence – 60 hours

Term 4

  1. Charts, Maps and Dashboards – 75 hours
  2. Computerized Data Exchange – 75 hours
  3. Predictive Analytics and Business Intelligence – 105 hours
  4. Computer Job Integration – 60 hours

Term 5

  1. Internship in Analytics, Mega Data and Business Intelligence – 330 hours

Entry Requirement

Language Requirement
IELTS Score (Minimum)

For programs where the language of instruction of English, the language proficiency tests accepted are:

International English Language Testing System (IELTS): 5.5

Test of English as a Foreign Language (TOEFL) IBT: 55

Cambridge English Language Assessment: 162

Canadian Academic English Language (CAEL): 40

PTE Academic: 42

TOEFL-IBT Score (Minimum)

For programs where the language of instruction of English, the language proficiency tests accepted are:

  1. International English Language Testing System (IELTS): 5.5
  2. Test of English as a Foreign Language (TOEFL) IBT: 55
  3. Cambridge English Language Assessment: 162
  4. Canadian Academic English Language (CAEL): 40
  5. PTE Academic: 42
PTE Score (Minimum) For programs where the language of instruction of English, the language proficiency tests accepted are:
  1. International English Language Testing System (IELTS): 5.5
  2. Test of English as a Foreign Language (TOEFL) IBT: 55
  3. Cambridge English Language Assessment: 162
  4. Canadian Academic English Language (CAEL): 40
  5. PTE Academic: 42

Career Opportunities

Our graduates will be able to pursue successful careers in the following roles:

  1. Database administrator
  2. Data dictionary administrator
  3. Data administrator
  4. Database analyst
  5. Data analyst / computer and systems
  6. Data repository analyst
  7. Data mining analyst
  8. Information resources analyst
  9. Electronic data processing system analyst
  10. Electronic data processing analyst
  11. Database designer
  12. Data explorer
  13. Database manager – computer systems
  14. Data manager
  15. Computer specialist
  16. Database management supervisor / computer systems

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