Graduate Certificate in Business Analytics
Sudbury, Canada
DURATION
3 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
CAD 12,927 / per year *
STUDY FORMAT
On-Campus
* $12,927.75 - the international fees are approximate annual amounts
Scholarships
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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.
Admissions
Curriculum
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 1141 or BUS 1142 | Capstone Project or Placement | 7 |
| Credits | 7 | |
| Total Credits | 49 |
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Career Opportunities
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.