Big Data Analytics

Big Data Analytics

Program Code
Ontario College Graduate Certificate

Program requirements

  • 12 Mandatory Courses

Student success story

“The program helped me realize that despite being almost 50 years old, my skills were still very relevant and learning the tools used in the industry today and applying them to this new architecture was very easy.” - Patrick Whissel

Hear Patrick's story, a recent graduate of the Big Data Analytics program.

Program Description

Big Data allows users to visualize past, present, and future patterns by linking and presenting information in meaningful ways. Data Analytics offers deeper insight into the meaning of data sets by telling the story behind the information. This enables stakeholders to make more informed decisions, predict trends and better understand the needs and sentiments of customers. This program provides students with a unique blend of theoretical knowledge and applied skills. Students learn how to collect, curate, manipulate, encode, and store data sets so they can be analyzed and mined in such a way that they can be reused and repurposed to solve challenges that don't yet exist.

Current Course Offerings
Course Title Course Code ONTARIOLEARN EQUIVALENTS Mandatory
AI in Finance (ODE) BDAT1014  
Business Intelligence BDAT1010 BDAT1014 - Artificial Intelligence in Finance (ODE)   Mandatory
Business Processes BDAT1003   Mandatory
Collection and Management(ODE) BDAT1012  
Data Analytics Project BDAT1011   Mandatory
Data Collection and Curation BDAT1008 BDAT1012 - Data Collection and Data Management (ODE)   Mandatory
Data Manipulation Techniques BDAT1000   Mandatory
Data Programming BDAT1004   Mandatory
Data Systems Architecture BDAT1002 BDAT1013 - Big Data Tools (ODE)   Mandatory
Data Visualization BDAT1006   Mandatory
Enterprise Analytics BDAT1009   Mandatory
Information Encoding Standards BDAT1001   Mandatory
Math for Data Analytics BDAT1005   Mandatory
Social Data Mining Techniques BDAT1007   Mandatory

Additional Info

To be successful in this program, students are required to have a personal notebook computer (either PC or Mac architecture) prior to the start of the program that meets or exceeds the following hardware specifications:
• Intel i5 processor or AMD equivalent
• 8GB of memory (16 GB recommended)
• 250GB hard drive (SSD recommended)