Shot of businesspeople looking at business charts

Certificate in Big Data Analytics

Certificate in Big Data Analytics

Harness data to achieve your goals

Next Enrolment

September 14th, September 18th, September 25th




COVID-19 Updates and changes to program delivery. More information >

Get qualified for one of the fastest-growing new career fields and apply data-driven solutions to your field or beyond.

What is Big Data Analytics?

We have access to more data than ever before—but that information is meaningless without people who know how to properly turn it into actionable business insights. This is why public and private sector organizations now rely on data analysts to help them make informed decisions. That’s where you come in.

In this program, you will acquire foundational knowledge of data analytics and learn to apply it to your core profession. You’ll be prepared to suggest informed, data-driven business decisions to help lead change at your organization.

What you will learn

In this program, you will receive a comprehensive education in contemporary data analytics and be exposed to some of the main software applications used in the industry today. Our instructors are all qualified, data analytics experts and will teach you data analytics foundations, basic and advanced methods for analysis, relevant data analytics tool sets and how to utilize data for analysis.

The Big Data Analytics Program also allows you to earn one or two distinct certificates to get an edge over your competition. You can choose to enrol only in the initial certificate or in both certificates as a bundle to complete the full program.

Certificate in Big Data Analytics (6 months)

The initial certificate is suitable for individuals who want to acquire foundational knowledge of data analytics and apply it to their core industry such as Business, Finance, IT or Marketing.

Certificate in Advanced Data Science and Predictive Analytics (6 months)

The second certificate builds on the initial certificate to further develop the skills required for individuals to pursue a career in the field of Data Analytics.

Program Benefits

We created this program in collaboration with data analytics leaders, to ensure you learn current analytic knowledge and skills through experiential learning activities. You will practice the skills and explore the knowledge that will help you establish or advance your career in this in-demand discipline. Plus, our unique student-cohort program model will allow you to gain a rich network of professional contacts through your peers.

Format: Part-Time, blended
Delivery: Online coursework + required live online sessions
Live Session Schedule: Biweekly 3-hr sessions on evenings or weekends.
Program Length: 12 months total
• Big Data Analytics (6 months)
• Advanced Data Science &  Pred. Analytics (6 months)
Term Starts:
• Big Data: Winter (Jan), Summer (May), Fall (Sep)
• Advanced: Winter (April), Summer (Jul), Fall (Nov)


Introducing Live Online Learning

To make our programming even more accessible, and to ensure the safety of students and instructors, we are now offering the in-class course components for professional programs completely online.

Career Potential

If you are currently working in analytics or a related field, this program can train you to identify and leverage key opportunities to support your organization’s strategic objectives, making you indispensable to any employer. Even if you aren’t working in the analytics field, this program will allow you to develop an invaluable skill set in any industry, enabling you to grow your career options.

Industry Information

Representing one of the largest talent shortages in Canada, data analytics opportunities are exploding in every sector—from marketing to financial services to professional sports. The Greater Toronto Area is at the epicentre of this talent gap. Employers frequently report that they can’t find qualified candidates and are heavily investing in re-training their workforce.

Researchers estimate that 150,000 data analytics professionals are needed60% of Canadian executives plan to add professionals trained in data analysis to their teams

The demand for qualified candidates will continue to grow with open access to data sets, the introduction of new software applications, and the increased applicability of data analytics to new market segments. Big data is changing our world. It’s time to change with it.

Get hired for jobs like:

Financial Analyst
HR Analyst
Junior Data Analyst

Gain these skills:

Critical Thinking
Presentation skills
Data Mining

Who should take this program?

This program can help you advance in your current analytics career or increase your data literacy. This program is also ideal if you are a specialist in another field like marketing, insurance, finance, or human resources, and want to confidently leverage big data to excel in your sector.

Enrolment Requirements
  • The Certificate in Big Data Analytics is a direct registration program. No application process is required; simply enrol in the session of your choice to get started.
  • The bundle option that includes the Certificate in Big Data Analytics and the Certificate in Advanced Data Science and Predictive Analytics is a direct registration program. No application process is required; simply enrol in the session of your choice to get started.
Learning Outcomes

With the Big Data Analytics Program, you will learn:

  • Data analytics foundations
  • Basic and advanced methods for analysis
  • Relevant data analytics tool sets
  • How to utilize data for analysis
  • How to manage a data project end-to-end with a final hands-on capstone course


Roland Merbis photo

“Today more than ever, analytics play a crucial role in creating a positive customer experience. As a member of the program’s advisory council, I look forward to working with York University to help establish an analytics program that will set students up for success and close the skills gap for employers.”

Roland Merbis – Director of Customer Insights & Analytics at Scotiabank (Advisory Council Member)

Webinars and Events


CSDA1100 Data Analytics for Business

This course provides an introduction to data analytics and how it enables and drives value creation for organizations across industry sectors. A high-level overview of the end-to-end data and analytics solution process is provided. Various data sources will be discussed and a framework to turn raw data into value will be presented. In this course students will carry out data analyses using various methods.

4 Classes

36 Hours

CSDA1110 Introduction to Data Science

This course provides an introduction to data science and predictive modeling. Students will leverage the data and analytics solution process to develop well-defined business problems and apply data science and predictive modeling techniques to generate solutions. Supervised and unsupervised learning will be introduced and several algorithms will be discussed. Students will work in groups on projects that deliver practical data and analytics solutions.

4 Classes

36 Hours

CSDA1120 Accessing Data for Analysis

Students will learn to access common data provisioning technologies to support their analytics requirements. The course presents classic data approaches rooted in variations of data warehouses and data marts. Extensions to these concepts that support big data processing are then introduced. Students will learn why data storage technologies have evolved to support big data analytic workloads. Students will learn to access relational databases using SQL and NoSQL document and graph databases using vendor specific query languages. Data governance concepts are introduced to help students understand the concepts of "data assets" and "data lifecycle management." Metadata will be described in the course from both conceptual and practical perspectives.

4 Classes

36 Hours


Saber Amini photo

Saber Amini


Zeyad Azem photo

Zeyad Azem

MSc, BSc

Mayy Habayeb photo

Mayy Habayeb


Indu Khatri

Machine Learning Engineering Lead, Toronto DS&E Lab, HSBC

Rick Lambroff photo

Rick Lambroff

James Mwangi photo

James Mwangi

PhD, MSc, BSc, MCP

Mark Peco photo

Mark Peco


Preeti Raman photo

Preeti Raman

Managing Director, Addity

Hashmat Rohian photo

Hashmat Rohian

MSc, FNEng, CISSP, PMP, CFE, ACP, TOGAF, Lean Six Sigma

Hemant Sangwan photo

Hemant Sangwan


ghassem-tofighi photo

Ghassem Tofighi


Jennifer Vlasiu photo

Jennifer Vlasiu

MMAI, BComm.

George Wanganga Photo

Dr. George Wanganga

Advisory Council

Tarundeep Dhot

Principal Consultant, Capco

Brent Fagan

Consultant, Data & Analytics, KPMG

Jason Garay

Vice President, Analytics and Informatics, Cancer Care Ontario

Boris Kralj

Chief Information and Analytics Officer, Ontario Medical Association

Roland Merbis photo

Roland Merbis

Director, Sales & Channel Analytics, Scotiabank

Hashmat Rohian photo

Hashmat Rohian

Assistant Vice President & Managing Enterprise Architect, Co-Operators Group of Companies

Duncan Rowe photo

Duncan Rowe

Manager, Analytics and Visualization, Corporate Services Department, Regional Municipality of York

Ian Scott

Partner and Chief Data Scientist, Strategic Analytics And Modelling, Deloitte Analytics

Deepak Sharma

Director, Health Information Management, Business Intelligence, North York General Hospital

Rachel Soloman

Executive Director, Performance Improvement, CAMH

Certificate in Big Data Analytics

Fall 2021

Course Details +


Fall 2021

Course Details +


Fall 2021

Course Details +


Bundle these certificates

Certificate in Big Data Analytics and Certificate in Advanced Data Science and Predictive Analytics

Certificate in Big Data Analytics

Please select an option

Course Details + Course Details + Course Details + Course Details +
Certificate in Advanced Data Science and Predictive Analytics

Please select an option

Course Details + Course Details + Course Details +

Important: After you select your preferred sections, please make sure to click Apply a Discount on the next page.



Program Software


The list below provides an overview of the different software that may be used in our courses. As our program keeps up-to-date with current industry demands, please note that the actual software used and taught within each program is subject to change.

Certificate in Big Data Analytics

  • Hadoop
  • Jupyter Hub
  • NOSQL Databases
  • Mongo DB
  • MySQL
  • Neo4J
  • Pandas Libraries
  • Python
  • R
  • SQL



Certificate in Advanced Data Science and Predictive Analytics

  • Apache Hive
  • Apache Spark
  • Elasticsearch
  • Hadoop
  • Jupyter Hub
  • Kibana
  • Pandas Libraries
  • Python
  • R
  • SQL
  • Weka

Policies & More Info

Technology Requirements for Remote/Online Courses

Please review the technology and software requirements you will need to access our courses remotely.

Computer Requirements for this Program

All students will require access to a personal computer while in the Data Analytics program. Students will need to install various software programs throughout the program. Directions on what and how to download and install will be provided within the respective courses. The program recommends that students run with the following:

  • Microsoft Windows 7, 8.1 or 10 / Mac OSX 10.9 or above / Linux operating system
  • Intel Core i5 (or AMD equivalent) recommended; at minimum an Intel Core i3 (or AAMD equivalent) is required
  • 8 GB RAM
  • 20 GB disk space

Students may use Google Cloud Platform or an alternative in some courses of the program.

Contact Us

Ask us anything about this program and we’ll get back to you within 2 business days.