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COVID-19 information available here

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. 

Courses

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: $12,000
Application Fee: $200
Administration Fee: $100
Assessment Fee: $100
Course Materials: $600
*all prices are in Canadian Dollar

International Student Tuition & Fees

Tuition: $17,200
Application Fee: $300
Assessment Fee: $200
Course Materials: $600
Other: $350
*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

If a student studied in Canada or any of English speaking country/system*, student must be;
➢ Minimum 19 years of age prior to the start of the study period or graduation from grade 12 (or equivalent).
If a student studied in non-English speaking country/system, student must;
➢ Be minimum 19 years of age prior to the start of the study period and graduation from grade 12 (or equivalent). And has one of the following for English language proficiency:
o Duo Lingo English Test 67 or higher.
o TOEFL iBT score of 90 or higher (TOEFL Paper score – 575 or higher).
o IELTS Academic score 6.0 or higher.
o At least 60% marks in completion of RBCo ESL Approved Program Level 6
o RBCo English Placement Test passed with minimum 75% marks.

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.