Use data to make the best business decisions
You’ll learn to pull meaningful insights from large, complex data sets that businesses need to make informed decisions, predict trends, and better understand their customers. Build on your creative problem-solving abilities with this program that combines computer science and technology courses with databases, research methods, marketing, and communications studies.
As a data storyteller, you'll learn to simplify complex data, ensuring that decision-makers can grasp the insights without getting lost in technical details. Your ability to present data in a clear and concise manner will add tremendous value to the decision-making process.
Program highlights
- Seven-week capstone project or placement in the final semester to make you connected with industry partners
- Co-curricular activities, field trips, and guest speakers offer networking opportunities
- Build skills in a wide array of tools including advanced ArcGIS, Power BI, Tableau and Python programming, R statistics, SQL database, and Microsoft Office and Excel
Program of study for 2025-26 Academic Year
Semester 1 | Credits | |
---|---|---|
DBA 7300 | Structured Data Management | 4 |
ANA 7301 | Programming for Analytics | 4 |
ANA 7302 | Foundations of Data Analytics | 3 |
ANA 7303 | Data Collection and Ethics | 3 |
EXL 7300 | Dashboards and Data Analysis | 3 |
QMM 7300 | Statistics for Data Analytics | 4 |
Credits | 21 | |
Semester 2 | ||
BTA 7300 | Connected Data | 3 |
MKT 7300 | Mkt and Social Media Analytics | 3 |
GIS 7300 | GIS Mapping | 2 |
QMM 7301 | Advanced Stats for Analytics | 4 |
ANA 7311 | Storytelling with Data | 3 |
ANA 7304 | Dashboards and Data Modelling | 3 |
AIE 1009 | Machine Learning | 3 |
Credits | 21 | |
Semester 3 | ||
ANA 7305 or ANA 7306 | Analytics Capstone or Placement | 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.
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).
Additional admissions requirement
Recommendations
- 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.
Program Delivery
2025-26
Fall term start
SEMESTER 1: Fall 2025
SEMESTER 2: Winter 2026
SEMESTER 3: Spring 2026
Winter term start
SEMESTER 1: Winter 2026
SEMESTER 2: Spring 2026
SEMESTER 3: Fall 2026
Spring term start
SEMESTER 1: Spring 2026
SEMESTER 2: Fall 2026
SEMESTER 3: Winter 2027
Please note that courses may vary in the order they are offered depending on when you start the program. The sequence listed is based on a September 2025 intake. For more information about this sequence, please email the program coordinator.
Specific program pathways
College or university degree opportunities
If you are a graduate from this program, you may continue your studies at a college or university and you may receive credit(s) for your prior college education. Refer to Cambrian's college and university agreement details for further information.
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
- Marketing Analyst
- Data Miner
- Data Storyteller
- Customer Insights Analyst
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.