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Diploma in Data Analytics

 The objective of the program is to educate students on data-related programming and querying languages. The program would help them to use these programming languages to clean, query and analyze large datasets. It would develop an understanding of machine learning principles and common modelling techniques, and a core understanding of both numerical and categorical models to propel business objectives. The program also provides students with useful insights into some of the popular big data tools. 

Upon completion of this program, the graduate will be able to: 

➢ Understand the concept of relational databases. 

➢ Create and manipulate databases. 

➢ The syntax of various programming and query languages, and related packages used for data analysis and machine learning. 

Work, manipulate and model data using programming languages. 

➢ Use various tools to build data visualizations. 

Use the machine-learning techniques to model and build data. 

Exposure to deep learning and advanced machine learning models. 

➢ Use statistical knowledge to test the accuracy of data models. 

➢ Use and implement common big data tools. 

Use and implement neural networks. 

➢ Apply learned skills at the workplace during Coop. 


List the titles of the courses in this program in the order they are provided and the hours of instruction allotted to each course. Each course is worth 60 hours, with 480 hours Co-Op work placement.

Course ONE: Relational Database Design
Course TWO: Fundamentals of Analytics
Course THREE: Predictive and Prescriptive Analytics
Course FOUR: Neural Networks, Deep Learning and Big Data
Course FIVE: Introduction to Python Programming
Course SIX: Intermediate Python Programming Techniques
Course SEVEN: Advanced Python Programming Techniques
Course EIGHT: Python for Data Science

Domestic Student Tuition & Fees

Tuition: $9,940
Application Fee (non-refundable): $200
Materials Fee: $300
Assessment Fee: $100

*Assessment fee not mandatory, only for students writing RBCo English Placement Exam
*all prices are in Canadian Dollar

International Student Tuition & Fees

Tuition: $12,004
Application Fee (non-refundable): $300
Materials Fee: 300
Assessment Fee: $100

*Assessment fee not mandatory, only for students writing RBCo English Placement Exam
*all prices are in Canadian Dollar

Career Opportunities

o Database analysts
o data administrators
o junior data scientist
o database designer
o data visualization analyst

Completion Requirements

➢ In order to graduate from the program with the skills and competencies necessary to meet the standards of a competent data analyst, students must attend a minimum of 75% of in-class and laboratory sessions in all the EIGHT courses.
➢ For successful completion of the program, students would have to score a minimum of 50% in each one of the EIGHT courses and at least 75% attendance.

Admission Requirements

1. The student has graduated from grade 12 or equivalent (B.C. high school diploma, B.C. Adult Graduation Diploma, General Educational Development) or an equivalent secondary school completion from another jurisdiction,
2. Secondary school completion (equivalent to BC grade 12) from a jurisdiction where English is a primary language, official language and the language used for education.
3. Apply as a mature student who did not graduate from high school but is at least 19 years of age and provide proof of English language proficiency passing one of the following:
o Grade 12 or higher-level English course.
o High School English 12: At least C from an English-speaking country
o University or College level English course (non‐ESL): At least C from an institution where English is the language of instruction.
o RBCo English Placement Exam: 75%
o Completion of RBCo ESL Level 5 (minimum 75% marks) or equivalent from a recognized institution in Canada or English-speaking country.
o Completion of at least 12 credits from a post-secondary institution in Canada or from a country where English is the primary language, official language, and the language of instruction.
o English Language Test with minimum score as follow: (only valid for two years):
 TOEFL: 60 iBT
 IELTS: 6.0
 Duolingo: 105
 PTE-Academic: 51.6


Countries with English language systems / institutions (where English is a primary, official language and the language used for education)
American Samoa/ Anguilla/ Antigua/ Australia/ Bahamas/ Barbados/ Belize/ Bermuda/ British Virgin Islands/ Cayman Island/ Canada*/ Dominica/ Falkland Islands/ Fiji/ Ghana/ Grenada/ Guam/ Guyana/ Irish Republic / Jamaica/ Kenya/ Malta/ Mauritius/ Montserrat/ New Zealand/ Seychelles/ Singapore/ South Africa/ St. Kitts and Nevis/ St. Lucia/ St. Vincent/ Trinidad and Tobago/ Turks and Caico Islands/ Uganda/ United Kingdom (England, Scotland,Wales and Northern Ireland)/ United States of America (USA)/ US Virgin Islands

*Applicants educated in Quebec at an institution where the language of instruction was not English, must meet the current English language proficiency requirements.

Program Overview

Full-Time / Part-Time Diploma

Length: 11 months

Scholarship and Bursary are available upon request.

Program Duration

Program Length:
Hours: 960
Weeks Full-Time: 48
Weeks Part-Time: 72

Co-Op Hours: 480

Delivery Method:

In-class instruction: Yes 

Distance: No 

Combine: Yes 

PTIB Approved

Diploma in Data Analytics was reviewed and approved by the registrar of the Private Training Institution Branch (PTIB) of the Ministry of Advanced Education and Skills Training.

Required Materials

Each student will be required to bring a laptop (PC or Mac) with at least 4GB of RAM and a 2.0 GHz 64-bit processor and have installed either Windows 10 or Mac OS 10.12 or higher.