Diploma or degree in a relevant field from a recognized college or university or demonstrated competence through related work.
See Admission Policies
The Data Analytics for Business program prepares students to visualize past, present, and future patterns by linking and presenting information in meaningful ways. The area of data analytics offers deeper insight and meaning of data sets for users by telling the story behind the information. This type of detailed and defined information enables graduates to effectively predict trends, understand the needs of customers, as well as make more informed business decisions.
Students will learn a unique blend of theoretical knowledge and advanced applicable skills. Students will also learn large scale data manipulation, how to collect, curate, encode, and store data sets, which can be analyzed and mined in ways that can be reused and repurposed to solve challenges and predict future patterns for business decision making. Students will gain critical thinking skills that demonstrate the ability to use existing and discoverable data to solve business problems.
Graduates may find employment in various information technology companies throughout both the public and private sectors. Positions within these sectors include data administrators, database administrators (DBA), database analysts, database architects, data custodians, data warehouse analysts, technical database architect, or in other capacities dealing with big data within the information technology field. Those with an entrepreneurial spirit may prefer self-employment opportunities within the field such as database development or design of data management solutions.
MINIMUM RECOMMENDED HARDWARE
- Intel I7 or AMD A10 processor or better with chipset that must support virtualization
- 16 GB of RAM
- 1 TB hard drive
- Ethernet Network Card
- Wireless Network Card
- One USB 3.0 port (two preferred)
- 3 Yr comprehensive parts and labour (Recommended)
- Windows 10 Professional Edition
The standard tuition and compulsory fees for the current academic year:
2018-2019 Tuition Fees
For programs with Experiential Learning (Work Placement/Internship): Costs for accommodation, if needed, travel and related expenses is at the student's own expense. It is recommended for most programs, that students have access to a laptop or desktop computer while away from home during experiential learning periods.
Textbooks and other materials are in addition to Tuition Fees. Textbook prices may be found through the Bookstore website.
Please be aware that tuition and compulsory fees are subject to adjustment each year. The College reserves the right to change, amend or alter fees as necessary without notice or prejudice.
Introduction to Data Analytics
Basic Statistics and Exploratory Data Analysis
Introduction to Artificial Intelligence
Analytic Tools and Decision Making
Machine Learning I
Data Visualization and Reporting
Advanced Statistics for Data Analytics
IT Service Management
Business Analytics and Decision Making