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Data Analytics
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Program Overview
This one-year graduate certificate in business analytics uniquely equips professionals with the data analytics knowledge and skills required to advance their careers in various business fields like marketing, finance and tech. This program includes organizational considerations such as data governance, data operations, data management and security and covers the major functional units of an organization to prepare you for real-world challenges.
Program Details
Program Code
DAA1
Credential:
Ontario College Graduate Certificate
Duration
30 Weeks
Start Dates
Locations
Availability
Full Time Offerings
2025 September
London
Open
2026 January
London
Open
2026 May
London
Open
Your Learning Experience
This program is for international students only.
This one-year Data Analytics graduate certificate program will prepare students to master and use computer software programs and applications for inputting, verifying, organizing, storing, retrieving, transforming and extracting business data.
Throughout a variety of business analytics courses within the program, students will use multiple operating system configurations and word processing, spreadsheets, management programs, database programs and research programs, including:
- SQL
- MS Excel
- Tableau
- MS Access
The program’s delivery is designed to be highly practical, with authentic assessments that reflect current business data analytics practices. Upon graduation, this ensures that students are well-prepared to apply their knowledge and skills in real-world business settings.
Business data analytics skills you will acquire from this post-graduate program include:
- Qualitative and quantitative data organization
- Predictive modelling and forecasting
- Machine learning fundamentals
- Data-driven decision-making
- Statistical analysis
- Data visualization and presentation
- Data ethics
- Web and CRM analytics
Laptop and technical requirements
Please note that this program requires a laptop. We recommend that students use a PC laptop vs. a Mac laptop, as Windows is required to be able to load program-specific software. For more information on specific requirements, visit the Laptop Requirements page on the Fanshawe CONNECTED website.
Students must also consider technical requirements for this program. Students are required to use Windows 7 (or newer) or Mac (Mojave 10.14 or newer). Alternative operating systems, such as Android, are incompatible with program requirements.
Career Information
Graduates of Fanshawe’s Data Analytics program can pursue exciting and rewarding careers within various organizations, including retail, financial services, manufacturing, health care, transportation, construction, media, tourism and education. Graduates may also choose to pursue research-based studies in a related field.
Some of the careers that graduates might pursue include:
Analytics Platform Developer - designs, builds and maintains the business data analytics platform infrastructures to ensure efficient data collection, processing, storage and access for analysis and data-driven decision-making.
Supply Chain Analyst - analyzes and optimizes an organization’s supply chain operations by collecting and interpreting data to identify inefficiencies, recommend improvements and ensure timely, cost-effective product delivery.
Database Specialist - designs, implements, maintains and secures organizational databases and ensures data is stored, retrieved and accessed efficiently while upholding data integrity and security measures.
Data Visualization Specialist - transforms complex data into visually appealing and easily understandable charts, graphs, dashboards, interactive visualizations and presentations for decision-makers to decipher data to make informed strategic decisions.
Admission Requirements
Ontario College Diploma, Ontario College Advanced Diploma, Degree
or equivalent
International Admission Equivalencies
Admission equivalencies for Fanshawe depends on your country of study. Please enter your location to see the requirements for your country below.
Applicant Selection Criteria
Applicant Selection Criteria
Where the number of eligible applicants exceeds the available spaces in the program, the Applicant Selection Criteria will be:- Preference for Permanent Residents of Ontario
- Receipt of Application by February 1st (After this date, Fanshawe College will consider applicants on a first-come, first-served basis until the program is full)
- Achievement in the Admission Requirements
Courses
| Level 1 | ||||
| Take all of the following Mandatory Courses: | ||||
| COMM-6019 | Advanced Professional Communication | 3 | ||
This course focuses on refining and advancing students workplace communication abilities. The advanced communication documents and strategies covered include presentation skills, research skills, business document writing, meeting and management team strategies, business etiquette, and advanced employment communications. Additionally, students learn about interpersonal and intercultural communication (high/low and monochromic/polychromic context) concepts and strategies. | ||||
| MGMT-6211 | Foundations of Data Analytics | 4 | ||
This course is an introduction of data analysis principles, practices, and approaches used in research, big data, data science, and AI. Students will be provided with an overview of models supporting analytics-based decision-making. | ||||
| MGMT-6212 | Dashboarding & Data Visualization | 3 | ||
This course will focus on software (PowerBI, Tableau) that supports analytics to express meaningful data to position analytics for effective decision-making. | ||||
| MGMT-6213 | Analytics for Project Management | 3 | ||
This course will cover the general principles of project management, including agile project management. Topics included will be estimating, scoping, planning, and risk mitigation techniques that draw upon data analytics for informed communication with key management and stakeholders. | ||||
| MGMT-6214 | Web Analytics | 3 | ||
This course will cover data collection from websites and social media to support critical business decisions (e.g., Google Analytics). Topics will include data mining using pattern recognition and knowledge extraction. | ||||
| METH-6014 | Introduction to Statistical Analytics | 3 | ||
This course provides an overview of application of statistical methods at different phases of data analytics. Topics include statical methodologies for creation, collection, analysis, validation and visualization of quantitative data, and forecast modelling. | ||||
| INFO-6196 | Programming Fundamentals for Analytics | 3 | ||
This course provides an Introduction of programming languages (R, SQL) for effective data analysis, use for extraction or various databases. | ||||
Tuition Summary
London
*Total program costs are approximate, subject to change and do not include the health and dental plan fee, bus pass fee or program general expenses.