Data Analytics for Business
Data Analytics for Business Header
  • Program Length:
  • Two Years - Graduate Certificate

Program Vocational Learning Outcomes

ADMISSION REQUIREMENTS
Diploma or degree in a relevant field from a recognized college or university or demonstrated competence through related work.

International Students: See Admission Policies for details.

PROGRAM OVERVIEW
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.

CAREER OPPORTUNITIES
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.

LAPTOP REQUIREMENTS

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)
SOFTWARE REQUIREMENTS
  • Windows 10 Professional Edition

YOUR INVESTMENT
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.

CERTIFICATE REQUIREMENTS


Code
Credit
Course Name
Semester 1
DAB100
3
Introduction to Data Analytics
DAB501
5

Basic Statistics and Exploratory Data Analysis
DAB101
2
Introduction to Artificial Intelligence
DAB102
3
Information Management
DAB103
5
Analytic Tools and Decision Making

Semester 2
DAB200
5
Machine Learning I
DAB201
4
Data Visualization and Reporting
DAB502
5
Advanced Statistics for Data Analytics
DAB202
3
IT Service Management
DAB203
4
Business Analytics and Decision Making

Code
Credit
Course Name
Semester 3
DAB300
5
Machine Learning II
DAB301
4
Project Management Analytics
DAB302
2
Ethics for Analytics
DAB303
5
Marketing Analytics
DAB304
5
Healthcare Analytics


Semester 4
DAB400
5
Supply Chain Analytics
DAB401
5
Financial Analytics
DAB402
10
Capstone Project