Introduction
Overview
You will gain the skills to extract meaningful insights from very large and complex data sets to support business decision‐making. You will 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 and predict trends in any size and type of business. Key areas of study include database design and management, business analytics, market research, data mining, and decision‐making through analytics.
Please note that the academic curriculum is continually reviewed and revised to ensure that Cambrian's programs and courses remain relevant. The College reserves the right to cancel or make changes to any course or program, fee, procedure, or campus location at any time.
Admission Requirements
Applicants must be graduates of a diploma, advanced diploma, or degree from an Ontario College or equivalent.
Required Courses:
Any grade 12 mathematics (C) or (U) (MCT4C is highly recommended)
Highly Recommended:
Proficiency in Microsoft Excel
Students who do not possess the foundational math will need to take the bridging course/s prior to registration.
Applicants whose first language is not English must provide proof of English proficiency. Cambrian College accepts the TOEFL, or IELTS, or equivalent test to satisfy our English admission requirements.
Program Delivery
2019-2020
This program will be delivered in the following terms:
Program of Study
Semester 1
Credits
ANA 1000
Found of Data Analytics for Bu
3
DBA 1000
Database Mgmt & Warehousing
4
QMM 1001
Statistics for Data Analytics
4
EXL 1002
Advanced Excel
3
ANA 1003
Data Collection and Ethics
3
MKT 1005
Marketing and Social Media Analytics
3
Credits
20
Semester 2
QMM 1002
Stats and Data Visualization
4
MKT 1006
Marketing Simulation
4
ANA 1002
Enterprise Analytics
4
ANA 1001
Programming for Analytics
4
BTA 1012
Data Mining
3
BTA 1013
Communicating with Data
3
Credits
22
Semester 3
BUS 1141or BUS 1142
Capstone Projector Placement
7
Credits
7
Total Credits
49
Employment Opportunities
Data analytics professionals may work independently or with IT teams, mining data from primary and secondary sources, analyzing and interpreting results, pinpointing and predicting trends, providing concise reports, and designing, creating and maintaining databases.
They work for a wide range of industries including government, applied research, human resources, healthcare, and sales and marketing. Common job titles may include Data Analyst, Data Miner and Customer Insights Analyst.
