Computer Studies

Big Data Analytics

General information

Program code
BDAT
Duration
2 Semesters (1 Year)
Credential
Ontario College Graduate Certificate
Campuses

Intake information

Start date Campus
Fall 2016 Barrie
Fall 2017 Barrie

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.

Why study Big Data at Georgian?

The right time
Be among the first graduates in this dynamic and growing field of research.

The right mix of skills
Learn the mix of technical, business and communications skills you need to succeed.

The right experiences
Get the most from your education with our applied learning model, providing you with experience in working with organizations to help them solve real challenges in the community.

The right connections
Benefit from the connections you’ll make with employers and expert faculty from the research analyst, computer studies, and business faculties.

The right place
Join the only college graduate certificate program in Big Data. Enjoy a collegial atmosphere, small class sizes (25 to 30 students), caring faculty and a nice campus setting in a small city with a reasonable cost of living and great quality of life.

Admission information

Admission requirements

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

Courses

Mandatory Courses

BDAT1000 Data Manipulation Techniques
BDAT1001 Information Encoding Standards
BDAT1002 Data Systems Architecture
BDAT1003 Business Processes 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

use +/- to expand menu options