Big Data Analytics
Credential: Ontario College Graduate Certificate
Length: 2 Semesters
Duration: 1 Year
Effective: Fall 2017
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.
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.
Program Learning Outcomes
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.
The Program Progression
- Sem 1: Fall 2017
- Sem 2: Winter 2018
- 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%.
|BDAT 1000||Data Manipulation Techniques|
|BDAT 1001||Information Encoding Standards|
|BDAT 1002||Data Systems Architecture|
|BDAT 1003||Business Processes and Modelling|
|BDAT 1004||Data Programming|
|BDAT 1005||Mathematics for Data Analytics|
|BDAT 1006||Data Visualization|
|BDAT 1007||Social Data and Mining Techniques|
|BDAT 1008||Data Collection and Curation|
|BDAT 1009||Enterprise Analytics|
|BDAT 1010||Business Intelligence|
|BDAT 1011||Data Analytics Project|
Information contained in College documents respecting programs is correct at the time of publication. Academic content of programs and courses is revised on an ongoing basis to ensure relevance to changing educational objectives and employment market needs. The college reserves the right to add or delete programs, options, courses, timetables or campus locations subject to sufficient enrolment, and the availability of courses.