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Certificate in Advanced Data Science and Predictive Analytics

Certificate in Advanced Data Science and Predictive Analytics

Level up your data science toolkit to lead through data-driven insight

Next Enrolment

May 15th, September 24th, May 14th




Integrate advanced skills in data science with your leadership abilities to target organizational growth through data analytics.

What you will learn

In the part-time Certificate in Advanced Data Science and Predictive Analytics, you’ll explore the building blocks of data analytics through an organizational lens. This program will allow you to:

  • Explore relevant data analytics tools and advanced methods for data analysis
  • Prepare to lead an organization and data science team through collecting, analyzing, and communicating data insights
  • Demonstrate how data supports business decisions
  • Apply your knowledge with a hands-on capstone course that includes analyzing real-life scenarios

Program Benefits

  • Designed in collaboration with data science and business leaders across several sectors
  • Learn from practicing data analytics instructors
  • Complete experiential learning activities, including an end-to-end analytics project with a business, giving you hands-on experience
  • Option to complete an independent project or start-up venture
  • Advance through the program with the same peer cohort and build your professional network

Format: Part-Time, blended
Delivery: Online coursework + ­required live-online sessions
Live Session Schedule: Bi-weekly 3-hour classes
Program Length: 6 months
Term Starts: Fall, Winter, Summer

Introducing Live Online Learning

Career Potential

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.

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

Get Hired for Jobs Like:
  • Director or Manager, Business Intelligence
  • Director or Manager, Data Science
  • Big Data Business Analyst
Gain These Cross-Functional Skills:
  • Advanced data analysis
  • Visualization and storytelling
  • Strategic data planning

Who should take this program?

The Certificate in Advanced Data Science and Predictive Analytics is ideal for:
  • Students with statistical programming experience in at least one programming language, such as Python
  • Students with experience working on a data science project or a STEM educational or career background
  • Professionals looking to advance their current data scientist career or increase their data analytics skill set while still working within a business-oriented management or leadership role
  • Specialists in fields like marketing, insurance, finance, or human resources who want to leverage data in their roles

“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)

How Can a Certificate In Big Data Analytics Provide Practical Experience?
Sohaib Zaid — Certificate in Big Data Analytics Graduate

Delivery Format

Part-Time – Blended

  • Courses combine in-person learning on campus at York or Live Online via Zoom plus online learning
  • The live components are held at a scheduled day and time on campus at York or Live Online via Zoom
  • The online delivery is asynchronous, which means that while students have set deadlines to complete their work each week, they do not have any required “live” components
  • Students should expect 8-10 hours of effort per course each week for readings, discussions boards, practice opportunities, and assignments

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 Advanced Data Science and Predictive Analytics

  • Apache Hive
  • Apache Spark
  • Elasticsearch
  • Hadoop
  • MapReduce
  • ShinyApp
  • Streamlit
  • Python
  • R
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 will use Google Cloud Platform in this program. Students are permitted to work locally, and not on the cloud, if they choose.


CSDA2000 Big Data Management and Tools

As organizations gather more and more data from their business processes, traditional computer systems and tools cannot handle the massive volume of data. Distributive computing platforms and tools are needed to digest, store and retrieve data. This course looks at distributive tools for data analysis, machine learning, data digestion and visualization. These tools are employed in real world examples to find trends and make informed business decisions.

4 Classes

36 Hours

CSDA2010 Advanced Methods of Data Analysis for Management

Discover the complete process of building prediction functions, including complex data collection, feature creation, applying advanced algorithms, evaluation and deploying models as an app in this advanced course. A range of machine learning model based and algorithmic machine learning methods will be introduced. You’ll also learn how to apply learning algorithms to mining social media and network (sentiment, influence), text understanding (web search, anti-spam), association rule mining (recommender systems), time series analysis, and other areas.

4 Classes

36 Hours

CSDA2020 Advanced Analytics Capstone

Exercise the skills acquired in the previous courses as you work end-to-end on an analytics project. Students have an opportunity to select to either work: a) with a business on a sponsored project, or b) independently on their own project. This hands-on course requires defining the business problem, scoping out the project, review and preparing of collected data, as well as integrating, modelling and analyzing the data. Students are expected to also derive insights and offer recommendations based on their analysis.

4 Classes

36 Hours


Saber Amini Advanced Data Science Instructor

Saber Amini

Mayy Habayed Big Data Instructor

Mayy Habayeb


Holly Heglin


Fatima Khamitova

Indu Khatri Instructor Big Data

Indu Khatri

Rick Lambroff Big Data Instructor

Rick Lambroff

James Mwangi Big Data Instructor

James Mwangi

Mark Peco Big Data Instructor

Mark Peco

Preeti Raman Big Data Instructor

Preeti Raman

Hashmat Rohian Big Data Instructor

Hashmat Rohian

Hemant Sangwan Big Data Instructor

Hemant Sangwan

Ghassem Tofighi Big Data Instructor

Ghassem Tofighi

Jennifer Vlasiu Big Data Instructor

Jennifer Vlasiu

Dr. George Wanganga Big Data Instructor

Dr. George Wanganga

Advisory Council

Hashmat Rohian

Hashmat Rohian


Tarundeep Dhot

Duncan Rowe Big Data Advisory Council

Duncan Rowe

Roland Merbis Big Data Advisory Council

Roland Merbis


Rachel Soloman


Ian Scott


Boris Kralj


Deepak Sharma


Brent Fagan


Jason Garay

Certificate in Advanced Data Science and Predictive Analytics

Summer 2024

(Online + Live Online Classes)

Course Details +


Fall 2024

(Online + Live Online Classes)

Course Details +


Summer 2025

(Online + Live Online Classes)

Course Details +


Policies & More Information

Technology Requirements for Remote/Online Courses

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

Contact Us

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