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Big Data Analytics

Big Data Analytics Ontario College Graduate Certificate

What is Big Data Analytics?

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.

Program Outline 2016-2017

Major:
BDAT
Length:
1 Year
Effective Dates:
2016-2017
Delivery:
2 Semesters
Credential:
Ontario College Graduate Certificate
Location:
Barrie
Start:

Fall - Barrie

Contact:

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.

The graduate has reliably demonstrated the ability to:

  • collect, manipulate and mine data sets to meet an organizational need


  • recommend different systems architectures and data storage technologies to support data analytics


  • design data models that meet the needs of a specific business process


  • develop software applications to manipulate data sets, correlate information and produce reports


  • design and present data visualizations to communicate information to business stakeholders


  • apply business analytics and business intelligence tools to support evidence-based decision making


  • employ environmentally sustainable practices within the field of data analytics


  • apply basic entrepreneurial strategies to identify and respond to new opportunities.
Fall Intake - Barrie

Sem 1 | Sem 2

--------------

Fall | Winter

2016 | 2017

Post-secondary diploma, degree or equivalent. It is recommended that the applicant have a specialty in science, technology, engineering, mathematics, or business.

12 Mandatory Courses

To graduate from this program, a student must attain a minimum of 60% or a letter grade of P (Pass) or S (Satisfactory) in each course in each semester. The passing weighted average for promotion through each semester and to graduate is 60%.

Mandatory Courses

BDAT1000 Data Manipulation Techniques
BDAT1001 Information Encoding Standards
BDAT1002 Data Systems Architecture
BDAT1003 Business Processing and Modelling
BDAT1004 Data Programming
BDAT1005 Mathematics for Data Analytics
BDAT1006 Data Visualization
BDAT1007 Social Data and Mining Techniques
BDAT1008 Data Collection and Curation
BDAT1009 Enterprise Analytics
BDAT1010 Business Intelligence
BDAT1011 Data Analytics Project

For inquiries please contact the appropriate person below.

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