Post Diploma in Big Data Analytics

1. Recognized diploma or degree in a relevant career area or, completion of 90 credits in a relevant career area from a recognized post-secondary institution.
2. Be at least 19 years of age or older at the start of the program.
3. Meets one of the options below where English is a principle language:
Option 1 – Completion of 2 years of full-time post-secondary education from a recognized institution where English is the language of instruction, or
Option 2 – Provide verified results for one of the English language proficiency tests listed below. Test results will be dated no more than 2 years before the start date of the program.
o IELTS (Academic): Minimum overall score of 6.0
o TOEFL IBT: Minimum overall score of 68
o Canadian English Language Proficiency Index Program (CELPIP) General: 7.0
o Canadian Academic English Language (CAEL) Test: 50
o Pearson Test of English (PTE) Academic: 46
o Duolingo English Test (DET): 105
o Cambridge English Qualifications: B2 First Exam (FCE): Minimum overall score of 160 or “C”
o Cambridge Linguaskill: Minimum overall B2 Level
o LANGAGECERT Academic: Minimum overall B2 level
o The Michigan English Test (MET): Minimum overall B2 level
o ITEP Academic: Minimum overall score of 3.5
o EIKEN: Minimum placement of Grade Pre-1

Mature student applicants:
Applicant is 19 years or older at the start of the program and is a Canadian citizen or permanent resident who cannot access is their educational records or provide sufficient evidence of secondary or post-secondary education as outlined above:
o applicant provides attestation that they have completed at least three years of full-time instruction in English in a country where the English is one of the principal languages, and
o Applicant completes an Accuplacer English Assessment (Next Generation: Reading, Writing and WritePlacer) and achieves the following minimum scores:
Reading: 235
Writing: 235
WritePlacer: 4

The Post Diploma in Big Data Analytics is a 10 course, 600 hour, 30 credit program that can be completed in 30 weeks via in-class and/or online instruction which enables students to complete the course content and related requirements in the most efficient and effective manner possible. The 10 course PDDA program is efficiently delivered over the course of two semesters.

To graduate from this program, students must complete all program requirements including those identified below:
1. Complete a minimum of 30 credits.
2. Attend at least 75% of program lectures/classes.
3. Pass each individual course with 50% or higher.
4. Achieve a minimum program 2.50 AGPA.

Upon completion of this program the successful student will have reliably demonstrated the ability to:
– Demonstrate knowledge of the programming languages and tools involved in data analysis and visualization such as Python, R, SQL and JavaScript.
– Discuss the strategic and operational value of using data for decision-making and how to utilize data analysis techniques to improve decision-making.
– Understand the principles of data warehousing and database management.
– Discuss how to identify relevant data sources and create analytical data sets.
– Demonstrate knowledge of data mining and pattern recognition.
– Demonstrate an understanding and ability to clearly/effectively communicate data analysis results and information to a diverse organizational audience.