Ontario College Graduate Certificate | 3 semesters | Barrydowne Campus
Are you ready to become a data storyteller? In today's data-driven world, more data is produced and collected than ever and harnessing that data to make decisions is the heart of analytics! Your career in analytics starts with the Business Analytics program at Cambrian College.
This program combines computer science, database, research methods, statistics, marketing, data management, visualization, and communications courses within the context of the emerging field of analytics. This combination of courses will enable you to find or gather data, use a wide variety of tools to analyze it and share results through various forms of communication, from reports to dashboards and infographics.
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 a way that can be reused and re-purposed to solve challenges and predict trends in any size and type of business. The goal of the program is to help you to become an effective and persuasive analyst and communicator who can provide information that will allow industry leaders to make evidence-informed decisions.
Program Strengths
- This program leverages and builds on existing experience and creativity in problem-solving, enabling students to become strong, effective analysts who are skilled at bridging the gap between data, business, and technology.
- This program offers the ultimate flexibility! Study on campus, virtually (live virtual classes via Zoom) or fully online as part of the HyFlex learning model.
- Students are exposed to a variety of theory, hands-on, applied, and experiential learning opportunities that prepare them to meet the needs of current job markets.
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A variety of workshops, community engagements, co-curricular activities, field trips, and guest speakers provide students with opportunities to begin networking and collaborating in the analytics and related fields.
Program Highlights
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1 year - 3 semesters (2 academic semesters and 1 semester of Work Integrated Learning)
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Capstone project or placement in the final semester (7 weeks in duration)
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HyFlex learning model utilized throughout the entire program
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Focus on analysis utilizing a wide array of tools, including advanced ArcGIS, Microsoft Office and Excel, PowerBI, Python, R, and SQL to provide a versatile and in-demand analytical skill-set
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Extra-curricular and additional credential opportunities to enhance your analytical skills, portfolio, and resume
Part-time Pathway
This program can be completed on a part-time basis, with the exception of the placement/Co-Op/Internship/Capstone (WIL*). The WIL component must be completed on a regular/full-time schedule; however, Part-time students may request to complete their WIL with a job-out arrangement or seek academic credit for the WIL via the Prior Learning Assessment & Recognition (PLAR) process.
*WIL = Work Integrated Learning
For specific term start/end dates and other key dates/deadlines, please see the Academic Schedule on our website. Timelines for part-time program completion will extend beyond those indicated in the program delivery timelines.
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Admission Requirements
Applicants must be graduates of a diploma, advanced diploma, or degree program from an Ontario College or equivalent.
OR
Applicant must possess five years of work experience in a related field (or combination of education and work experience) as judged by the College to be equivalent. Applicants must submit a resume detailing their related experience and a cover letter outlining their competencies and preparedness for the program (any and all postsecondary transcripts must still be submitted).
Recommended
- Proficiency in Microsoft Excel
- Any grade 12 mathematics (C) or (U) (MCT4C is highly recommended)
- Students who do not possess the foundational math will need to take the bridging course/s prior to registration. Please contact the program coordinator to discuss upgrading options.
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Program Delivery
2023-2024
This program consists of two 14-week semesters and a 7-week work integrated learning semester. The program is delivered in the following terms:
November Start
- SEMESTER 1 Nov - Feb
2023-2024 - SEMESTER 2 Mar - Jun
2024 - SEMESTER 3 July - Oct 2024
Applicants wishing to start in November and study full-time will apply to BAP2 for Nov 2023 at OCAS. Those wishing to start in November and study part-time will apply to BAP3 for Nov 2023.
Winter Term
January Start
- SEMESTER 1 Jan - Apr
2024 - SEMESTER 2 May - Aug
2024 - SEMESTER 3 Sep - Dec 2024
Applicants wishing to start in January and study full-time will apply to BAPG for Jan 2024 at OCAS. Those wishing to start in January and study part-time will apply to BAPT for Jan 2024.
March Start
- SEMESTER 1 Mar - Jun
2024 - SEMESTER 2 July - Oct
2024 - SEMESTER 3 Nov - Feb 2024-2025
Applicants wishing to start in March and study full-time will apply to BAP2 for Mar 2024 at OCAS. Those wishing to start in March and study part-time will apply to BAP3 for Mar 2024.
Spring Term
May Start
- SEMESTER 1 May - Aug
2024 - SEMESTER 2 Sep - Dec
2024 - SEMESTER 3 Jan - Apr 2025
Applicants wishing to start in May and study full-time will apply to BAPG for May 2024 at OCAS. Those wishing to start in May and study part-time will apply to BAPT for May 2024.
2024-2025
This program consists of two 14-week semesters. The program is delivered in the following terms:
Fall Term
September Start
- SEMESTER 1 Sep - Dec
2024 - SEMESTER 2 Jan - Apr
2025 - SEMESTER 3 May - Aug 2025
Applicants wishing to start in September and study full-time or part-time will apply to BAPG for Sep 2024 at OCAS.
November Start
- SEMESTER 1 Nov - Feb
2024-2025 - SEMESTER 2 Mar - Jun
2025 - SEMESTER 3 July - Oct 2025
Applicants wishing to start in November and study full-time or part-time will apply to BAP2 for Nov 2024 at OCAS.
Winter Term
January Start
- SEMESTER 1 Jan - Apr
2025 - SEMESTER 2 May - Aug
2025 - SEMESTER 3 Sep - Dec 2025
Applicants wishing to start in January and study full-time or part-time will apply to BAPG for Jan 2025 at OCAS.
March Start
- SEMESTER 1 Mar - Jun
2025 - SEMESTER 2 July - Oct
2025 - SEMESTER 3 Nov - Feb 2025-2026
Applicants wishing to start in March and study full-time or part-time will apply to BAP2 for Mar 2025 at OCAS.
Spring Term
May Start
- SEMESTER 1 May - Aug
2025 - SEMESTER 2 Sep - Dec
2025 - SEMESTER 3 Jan - Apr 2026
Applicants wishing to start in May and study full-time or part-time will apply to BAPG for May 2025 at OCAS.
July Start
- SEMESTER 1 Jul - Oct
2025 - SEMESTER 2 Nov - Feb
2025-2026 - SEMESTER 3 Mar - Jun 2026
Applicants wishing to start in July and study full-time or part-time will apply to BAP2 for Jul 2025 at OCAS.
Part-Time Delivery
Students opting to study part-time will be provided with a possible pathway to complete the program while remaining part-time. Timelines for completion will extend beyond those indicated above.
For specific term start/end dates and other key dates/deadlines, please see the Academic Schedule on our website.
Program of Study for 2024-25 Academic Year
| Semester 1 | Credits | |
|---|---|---|
| ANA 1000 | Foundations of Data Analytics | 3 |
| ANA 1001 | Programming for Analytics | 4 |
| ANA 1003 | Data Collection and Ethics | 3 |
| DBA 1000 | Structured Data Management | 4 |
| EXL 1002 | Dashboards and Data Analysis | 3 |
| QMM 1001 | Statistics for Data Analytics | 4 |
| Credits | 21 | |
| Semester 2 | ||
| ANA 1005 | Enterprise Analytics | 3 |
| ANA 1006 | Dashboards and Data Modelling | 3 |
| BTA 1013 | Communicating with Data | 3 |
| BTA 1016 | Connected Data | 3 |
| GIS 1025 | GIS Mapping | 2 |
| MKT 1005 | Marketing and Social Media Analytics | 3 |
| QMM 1002 | Stats and Data Visualization | 4 |
| Credits | 21 | |
| Semester 3 | ||
| ANA 1011 or ANA 1010 | Placement or Analytics Capstone | 6 |
| Credits | 6 | |
| Total Credits | 48 | |
Note:
Part-time students will be provided with a pathway to complete this program on a part-time basis.
Fees
Tuition and Ancillary Fees
Please see our fees page for the breakdown of tuition and mandatory ancillary fees by program and semester for both domestic and international students.
Books & Supplies
The total cost of books in the program is approximately $600. Several books are used in multiple courses in both semesters of the program. This is the best information available at the time of publishing to the website and is subject to change.
Graduate Options
Employment Opportunities
Business analysts and data analytics professionals may work independently or with various teams, collecting and mining data from primary and secondary sources, analyzing and interpreting results, pinpointing and predicting trends, providing concise reports, and designing, creating and maintaining databases. Graduates may work as data analysts, database administrators, project managers, software developers, implementation coordinators, data scientists, business intelligence consultants, decision support specialists, and consultants in the industry.
They work for a wide range of industries, including technology, business, government, applied research, human resources, healthcare, and sales and marketing.
Graduates are prepared for employment opportunities as:
- Data Analyst
- Financial Analyst
- Business Analyst
- Data Miner
- Customer Insights Analyst
College/University Degree Opportunities
Graduates from this program may continue their studies at college/university and may receive credit for their prior College education.
Refer to College/University Agreements for further information.
Please note: Cambrian College strives to ensure the accuracy of the information on this website. 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.