Graduate Certificate in Business Analytics

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

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.