Analytics for Business Decision Making - 386
|Program Length||Part time program completion within 2 – 4 years depending on student and course availability (as compared to the full time program length of 2 semesters or 1 year)|
|Cost||~$425 per course + textbooks|
|Intakes||Fall, Winter, Spring|
|Application Process||Students must apply and be accepted prior to registering; see Admission & Registration tab|
Effective business decisions today come as a result of interpreting large amounts of data. Data Analytics provides the specialized knowledge necessary for you to become a skilled professional essential to an employer’s business decision making process.
- Analyze and interpret digital information
- Case studies, problem solving and analysis
- Understand key analytical, modeling, statistical and programming tools
- The use of business analytics systems with a focus on data identification, consolidation, communication, reporting, manipulation and trending, which are critical for decisions on strategic direction and improving operational efficiencies.
Please note this same program is offered through both Full Time Studies and Continuing Education at Mohawk College.
OSAP Eligible. Learn about the Ontario Student Assistance Program (OSAP).
Admission & Registration
- An Ontario College Diploma, Ontario College Advanced Diploma, or University Degree
- Other equivalent post-secondary experience or qualifications alongside relevant industry-related experience will be considered by Mohawk College
- This is a BYOD (Bring your own device) program where you will learn applicable software applications to support your learning. Please see Laptop Requirements under Additional Information.
Program of Studies
The program of studies displayed below applies to students starting the program in the current academic year. Students who began in other academic years may require different courses to be eligible to graduate. If you have questions regarding a strategy for completion contact Continuing Education - Technology and Skills . Please note this same program is offered through both Full Time Studies and Continuing Education at Mohawk College.
Click on the Course Number for more information on each course, including courses marked Special Approval.
Visit the Mohawk College Bookstore Textbook Search (opens in new window) for information on textbooks.
Note: COMP10214 must be taken first. BUSN10197, BUSN10225, COMP10187, and CRED10128 should be taken last.
Courses in this program are currently offered via OntarioLearn equivalency:
- MGMT10121 Business Analysis Introduction is equivalent to BUSN10140 Strategy Analysis and Planning
|Course Number||Course Name||Course Description|
|BUSN10196||Data Modelling||Model operational and dimensional representations of data appropriate for addressing business requirements. Design, import, manage and publish meta data models for use with business analytics software. 56 hours.|
|COMP10192||Applied IBM Business Intelligence||Introducing Applied IBM Business Intelligence, a new course designed to enhance your analytics skills. Explore the latest IBM Cognos Analytics (11.0.5) suite of products and underlying architecture. Build drill-through reports, animated infographics, geospatial visualizations, and executive style dashboards through hands-on demos and labs and gain the knowledge to become a report designer. Network with guest speakers, IBM partners, BI developers and administrators. 42 hours.|
|INFO10257||Database Analytics||Develop an understanding of software and computer models using object-relational database management system software, relational database design including normalization and design implementation using database management systems and SQL queries. 56 hours.|
|INFO10258||Excel for Business Analytics||Use advanced spreadsheet techniques to analyse and present business data. Spreadsheet activities that will be examined include; nested functions, linking (or connecting) data, and pivot tables. 42 hours.|
|STAT10001||Statistics for Business Analytics||Employ foundational statistical concepts to categorize data and solve business problems. Topics will include; data organization and display, measures of variability, probability, linear regression, sampling distributions, hypothesis testing for means and proportion and confidence intervals. Use statistical software in the application of theory. 42 hours.|
|BUSN10140||Strategy Analysis and Planning||The foundations of Business Analysis are planning, stakeholder analysis, and structure and cultural awareness of an enterprise or business entity. Prepare for projects through needs analysis and business plan development using industry standard strategies such as project charter, interview and focus group techniques. 42 hours. Equivalent: MGMT10121 Business Analysis Introduction is equivalent to BUSN10140.|
|BUSN10197||Project Management for Business Analytics||Apply the fundamentals of project management to the field of information technology. Utilize Project Management methodologies according to the Project Management Institutes PMBOK, (Project Management Body of Knowledge). Demonstrate an understanding and application of scheduling, scope, budgeting, risk assessment, critical path and resources through case studies. 70 hours.|
|BUSN10198||Predictive Modelling||Use data from a variety of sources to develop and validate predictive models that will aid business planning with an emphasis on marketing trends. Combine and clean data from sources such as social media, customer segmentation, customer relationship management systems and market research. Prepare a model that responds to corporate needs within a specified confidence interval that can be easily used and maintained by non-technical users. 56 hours.|
|BUSN10225||Analytics Capstone||Under faculty guidance and support, students choose a topic of interest, develop a project plan, execute the project, and deliver a presentation on the project. Students will apply the skills, tools, and techniques learned in the program as they identify a problem, source and acquire data sets, prepare data, analyze data, and generate visualizations for presentation. 42 hours.|
|COMP10187||Business Analytics for Managers||Understand the types and use of business data collected and identify the how and why of using it. Identify and examine legal, ethical and strategic uses of Business Practice handling of important and significant data and appropriate data analysis using case studies and individual and group assignments through in-class and virtual delivery. 42 hours.|
|COMP10233||Analytics Programming||Learn programming languages and apply programming techniques for use in data analytics applications. Load and manipulate data sets using the computer languages Python and R. Explore and utilize different development environments and libraries that support data preparation and data analysis activities for different types of data. 42 hours.|
|CRED10128||Career Discovery for Analytics Professionals||
Explore the Certified Analytics Professional designation and what it means to be an analytics professional. Develop connections with industry to help formulate job search strategies and investigate ongoing professional development opportunities in the field of business analytics. Identify and develop a network of online resources and communities to maintain and explore current practices in the industry. 42 hours.
The list of scheduled course offerings for this program is below. Please note that all offerings are subject to change. Not every course is offered every semester, so please consider this schedule when planning your academic path.
|Course Code||Course Name||
(Sept to Dec)
(Jan to Apr)
Applied IBM Business Intelligence
|COMP10214||Programming Fundamentals for Business||MyCanvas|
|INFO10258||Excel for Business Analytics||MyCanvas|
|STAT10001||Statistics for Business Analytics||MyCanvas|
|BUSN10140||Strategy Analysis and Planning||MyCanvas|
|BUSN10197||Project Management for Business Analytics||MyCanvas|
|COMP10187||Business Analytics for Managers|
|CRED10128||Career Discovery for Analytics Professionals||MyCanvas|
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Frequently Asked Questions
Program Learning Outcomes, often referred to as ‘Program Standards', set out the essential learning that a student must achieve before being deemed ready to graduate.
In many cases these program learning outcomes were developed by the Ministry of Colleges and Universities (MCU) in consultation with employers and educators who are experts in the program field. To ensure the outcomes remain current and in line with industry needs, we invite our employers, graduates working in the field and current students to re-examine and update them during regular, ongoing program review focus groups.
- Data Scientist
- Advanced Analytics Professional
- Data Analyst
- Business Analyst
- Business Intelligence Professional
Industries of Employment
- Tech Industry
- Sports and Entertainment
For more details on related occupations, job market information and career opportunities, see the Government of Canada website: www.jobbank.gc.ca/home
Opportunities for Graduates
- Certified Analytics Professional credential