Big Data Analytics Tell the story behind the information! This major growth area for applied research has been called the "sexiest job of the 21st century."

General information

Program code
BDAT
Duration
2 Semesters (1 Year)
Credential
Ontario College Graduate Certificate
Academic area
Campuses
Delivery
Full-time

Intake information

Start date Campus
Fall 2019 Barrie
Winter 2019 Barrie
Summer 2019 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, caring faculty and a nice campus setting in a small city with a reasonable cost of living and great quality of life.

Hardware and Software Requirements

  • Windows 10
  • 16 Gb RAM
  • 1 Tb hard drive
  • Budget of $800
  • If you are planning to use a Mac, you will want to Bootcamp the Mac and install Windows 10
  • All other software will be installed in class

Career opportunities

Graduates of this program are able to collect, organize and correlate data for a wide range of industries including government, applied research, human resources, health care, and sales and marketing. Leveraging prior background, skills, and experience, students may be employed in roles such as Data Analyst, Data Visualization Developer, Business Intelligence (BI) Specialist, Analytics Specialist, BI Solutions Architect or Business Analytic Specialist.

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

  • BDAT 1000 - Data Manipulation Techniques (Semester 1 / 42 hours)
  • BDAT 1001 - Information Encoding Standards (Semester 1 / 42 hours)
  • BDAT 1002 - Data Systems Architecture (Semester 1 / 42 hours)
  • BDAT 1003 - Business Processes and Modelling (Semester 1 / 42 hours)
  • BDAT 1004 - Data Programming (Semester 1 / 42 hours)
  • BDAT 1005 - Mathematics for Data Analytics (Semester 1 / 42 hours)
  • BDAT 1006 - Data Visualization (Semester 2 / 42 hours)
  • BDAT 1007 - Social Data and Mining Techniques (Semester 2 / 42 hours)
  • BDAT 1008 - Data Collection and Curation (Semester 2 / 42 hours)
  • BDAT 1009 - Enterprise Analytics (Semester 2 / 42 hours)
  • BDAT 1010 - Business Intelligence (Semester 2 / 42 hours)
  • BDAT 1011 - Data Analytics Project (Semester 2 / 42 hours)