Business Intelligence Systems Infrastructure (Co-op and Non Co-op Version)
Gain specialized technical knowledge to jump-start a career in Business Intelligence and related data-driven decision-assist fields.
- Provides you with specialized knowledge and skills to support the corporate use of Business Intelligence (BI), Data Visualization, Data Science, Cloud Services, and Agile Project Management
- Students learn how to collect, analyze, design, build, integrate and manage systems in order to facilitate data-driven decision-making.
- This program is ideal for those with degrees or advanced diplomas in Computing Science, Engineering, Business, Mathematics, or related to business, science, or technology.
Program Availability and Schedule
Availability
Open
Closed
Waitlisted
Start Term
Availability
International
Availability
Competitive?
Fall 2024
No
Winter 2025
No
Fall 2025
No
Schedule
Program Summary
Credential
Program Delivery
Program Code
Area of Interest
School
Campus
Work Integrated Learning
With a balance of foundational and advanced topics, the one-year Business Intelligence Systems Infrastructure (BISI) Ontario College Graduate Certificate provides you with specialized knowledge and skills to assist you in launching a data-driven, Business Intelligence decision-assist career. Current frameworks, approaches and software services are explored in relevant core areas, including data engineering, database querying, data modelling, cloud foundations, cloud delivery, data visualization, machine learning, and emerging topics. Additionally, students gain team, agile project management, and client experience in a culminating Capstone Project.
A technical program, BISI is ideal for students with existing technical degrees or advanced diplomas in Computing Science, Engineering, Technical-Business, Mathematics or a similar relevant business-science- technology field with programming, database and cloud exposure....(read more)
Overview
Gain specialized technical knowledge to jump-start a career in Business Intelligence and related data-driven decision-assist fields.
With a balance of foundational and advanced topics, the one-year Business Intelligence Systems Infrastructure (BISI) Ontario College Graduate Certificate provides you with specialized knowledge and skills to assist you in launching a data-driven, Business Intelligence decision-assist career. Current frameworks, approaches and software services are explored in relevant core areas, including data engineering, database querying, data modelling, cloud foundations, cloud delivery, data visualization, machine learning, and emerging topics. Additionally, students gain team, agile project management, and client experience in a culminating Capstone Project.
A technical program, BISI is ideal for students with existing technical degrees or advanced diplomas in Computing Science, Engineering, Technical-Business, Mathematics or a similar relevant business-science- technology field with programming, database and cloud exposure.
The Business Intelligence Systems Infrastructure program provides hands-on experience with:
- data engineering
- database design, implementation and aggregate/analytic query writing
- data modelling
- data visualization
- programming
- machine learning
- cloud fundamentals and development
- agile project management
- important current topics
As a student in this program, you collect, analyze, design, build, integrate and manage systems in order to facilitate data-driven decision-making to address user requirements. Additionally, you use current versions of in-demand, enterprise grade software to access and manage data resources having a variety of characteristics and qualities to provision data-driven, decision-assist solutions.
As an integral team member, students work collaboratively in projects to apply and extend their new knowledge and skills in addressing client requirements.
Students also have the option to gain real-world experience through a paid co-operative education (co-op) work term (see Additional Information for more details). Please note that places in the co-op work term are subject to availability and academic eligibility. Please note that admission to the co-op program does not guarantee a co-op placement.
BISI graduates may work in the public or private sector. They have the knowledge and skills to become data-focused Business Intelligence specialists liaising with IT technical support and subject matter experts, as well as Technical Business Analysts designing, developing, and implementing responsive data models. A graduate`s previous field of study may also open specialized opportunities in markets embracing data-driven analytics.
Based on the foundational knowledge and skills acquired throughout the program, BISI graduates may choose to pursue various digital badge and certifications, in areas like:
- data engineering
- data analytics
- data modelling
- data visualization
- cloud foundations
- cloud development
- machine learning
- programming
- query writing
SUCCESS FACTORS
This program is well-suited for students who:
- Are problem solvers and critical thinkers.
- Are interested in seeking creative solutions in dynamic technical environments.
- Have an interest in working with integrated software to deliver and support business solutions.
- Have the ability to professionally collaborate and achieve team deliverables.
- Are able to translate design models to implementation details.
Courses
Programs at Algonquin College are delivered using a variety of instruction modes. Courses may be offered in the classroom or lab, entirely online, or in a hybrid mode which combines classroom sessions with virtual learning activities. Upon registration, each full-time student is provided an Algonquin email account which is used to communicate important information about program or course events.
Code:
CST2101
Course Name:
Business Intelligence Programming 1: Foundations for Machine Learning Libraries
Course Description:
Programming concepts and coding skills are instrumental in selecting, applying, explaining, and supporting business intelligence and machine... + Read More
Hours:
56.0
Code:
CST2102
Course Name:
Database Analytics
Course Description:
Databases, and their core properties, are essential systems for securely storing, managing, and accessing data for subsequent use in analyti... + Read More
Hours:
70.0
Code:
CST2108
Course Name:
Cloud Solutions 1: Architecture and Development Fundamentals
Course Description:
Understanding Cloud architecture, Cloud provisioning options, and Cloud development frameworks is necessary for optimal resource allocation,... + Read More
Hours:
56.0
Code:
CST2109
Course Name:
Machine Learning 1: Fundamentals
Course Description:
Understanding Machine Learning algorithms and explaining generated results are essential skills in the data-driven analytics industry. Stude... + Read More
Hours:
56.0
Code:
CST2111
Course Name:
Data VIsualization
Course Description:
Data visualization is a communications tool for exploring data, identifying data patterns, and reporting analytic results. Students are prov... + Read More
Hours:
42.0
Code:
CST2112
Course Name:
Data Engineering and Integration
Course Description:
Developing reliable, evidence-based analyses requires data being managed as a strategically valuable corporate asset. Students explore a var... + Read More
Hours:
42.0
Code:
GEP1001
Course Name:
Cooperative Education and Job Readiness
Course Description:
Students are guided through a series of activities that prepare them to conduct a professional job search and succeed in the workplace. Thro... + Read More
Hours:
21.0
Code:
CST2212
Course Name:
Business Intelligence Project
Course Description:
Students are provided with the tools and strategies for managing technical projects. Students use strategies relating to team building, requ... + Read More
Hours:
84.0
Code:
CST2213
Course Name:
Business Intelligence Programming 2: Advanced Concepts
Course Description:
Building on Business Intelligence Programming 1, this course adds depth and complexity to programming considerations for provisioning analyt... + Read More
Hours:
56.0
Code:
CST2214
Course Name:
Cloud Solutions 2: Development and Delivery
Course Description:
Building and supporting complex predictive analytic models using Cloud resources and services requires a thorough understanding of several i... + Read More
Hours:
56.0
Code:
CST2215
Course Name:
Data Modelling
Course Description:
The Data Modelling process develops a coherent data fabric tailored to enterprise requirements for developing meaningful analytics and predi... + Read More
Hours:
56.0
Code:
CST2216
Course Name:
Machine Learning 2: Advanced Models and Emerging Topics
Course Description:
As data and models increase in complexity, technical analysts benefit from having the ability to integrate multiple data inputs, select algo... + Read More
Hours:
56.0
Code:
WKT8001
Course Name:
Work Term I
Course Description:
Students complete a cooperative work term, and submit a written report which documents the location of employment and the duties performed.... + Read More
Hours:
Careers & Pathways
Careers
Graduates may find a variety of employment opportunities as BI specialists in IT technical support and customer service support. Training in database design and administration may also present job opportunities in those areas. Employment may be found in organizations of all sizes in both the public and private sectors.
Depending on the previous education and experience of the students, graduates may be positioned to move into managerial or other positions of authority and/or responsibility overseeing or collaborating with technically aware professionals in a business solutions delivery environment.
Pathways
Please use our Pathways tool to search for pathway options.
Learning Outcomes
The graduate has reliably demonstrated the ability to:
- Analyze and resolve information technology problems to support secure Business Intelligence services.
- Install, customize and manage Business Intelligence services to meet operational and strategic requirements.
- Develop and implement data integration strategies to facilitate enhanced Business Intelligence services.
- Provide technical systems support and client guidance to promote the secure use of Business Intelligence services.
- Apply data engineering practices to improve the quality and integrity of data used in Business Intelligence analysis.
- Develop use case Business Intelligence and Analytical results to support data-driven decision making.
- Develop and customize Business Intelligence and Analytic services to meet client requirements.
- Apply data governance and ethical standards to the development of Business Intelligence services to safeguard the use of enterprise and user data.
- Apply project management practices to support the collaborative development of Business Intelligence services.
- Identify and apply discipline-specific practices that contribute to the local and global community through social responsibility, economic commitment and environmental stewardship.
Tuition & Fees
Get an idea of how much each semester will cost with our Tuition and Fee Estimator.
2024/2025 Academic Year
Tuition and related ancillary fees for this program can be viewed by using the Tuition and Fees Estimator tool at www.algonquincollege.com/fee-estimator.
Further information on fees can be found by visiting the Registrar`s Office website at www.algonquincollege.com/ro.
Fees are subject to change.
Additional program related expenses include:
- Books and supplies can be purchased from the campus store. For more information visit www.algonquincollege.com/coursematerials.
- Approximately $250 related to rental of statistics software and purchase of specified Raspberry Pi and related components.
Admissions Requirements
Program Eligibility
- Ontario College Diploma, Ontario College Advanced Diploma, Degree or equivalent in the related technical field such as a technical areas of business, information systems, computer science or engineering including, but not limited to courses showing technical skills in programming, database, math, statistics or operations research.
- Examples include, but are not limited to: Computer/Computing Science, Computing Engineering Science, Computer Programming, Applied Information Technology, Systems and Computer Engineering, Computer Engineering, Computer Applications, Aerospace Engineering, Artificial Intelligence or Machine Learning, Science or Applied Science in a relevant concentration (Mathematics, Physics, Business with multiple relevant technical courses).
- Applicants with international transcripts must provide proof of the subject-specific requirements noted above and may be required to provide proof of language proficiency. Domestic applicants with international transcripts must be evaluated through the International Credential Assessment Service of Canada (ICAS) or World Education Services (WES).
- IELTS-International English Language Testing Service (Academic) Overall band of 6.5 with a minimum of 6.0 in each band; OR TOEFL-Internet-based (iBT)-overall 88, with a minimum of 22 in each component: Reading: 22; Listening: 22; Speaking: 22; Writing: 22; OR Duolingo English Test (DET) Overall 120, minimum of 120 in Literacy and no score below 105.
Application Information
BUSINESS INTELLIGENCE SYSTEMS INFRASTRUCTURE (CO-OP AND NON CO-OP VERSION)
Program Code 1514X03FWO
Applications to full-time day programs must be submitted with official transcripts showing completion of the academic admission requirements through:
ontariocolleges.ca
60 Corporate Court
Guelph, Ontario N1G 5J3
1-888-892-2228
Applications are available online at www.ontariocolleges.ca.
Applications for Fall Term and Winter Term admission received by February 1 will be given equal consideration. Applications received after February 1 will be processed on a first-come, first-served basis as long as places are available.
International applicants applying from out-of-country can obtain the International Student Application Form at https://algonquincollege.force.com/myACint/ or by contacting the Registrar`s Office.
For further information on the admissions process, contact:
Registrar`s Office
Algonquin College
1385 Woodroffe Ave
Ottawa, ON K2G 1V8
Telephone: 613-727-0002
Toll-free: 1-800-565-4723
TTY: 613-727-7766
Fax: 613-727-7632
Contact: https://www.algonquincollege.com/ro
Additional Information
Program Resources
CO-OP INFORMATION:
All applicants apply directly to the co-op version of this program through OntarioColleges.ca or our International Application Portal. Applicants not wishing to pursue the co-op version will have the opportunity to opt-out after being admitted to the program but prior to the first co-op work term.
Co-operative education (Co-op) allows students to integrate their classroom learning with a real-world experience through paid work terms. Two academic terms prior to the cooperative education work term, students are required to actively participate in and successfully complete the self-directed co-op course, readiness activities and workshops.
Students must actively conduct a guided, self-directed job search and are responsible for securing approved program-related paid co-op employment. Students compete for co-op positions alongside students from Algonquin College and other Canadian and international colleges and universities. Algonquin College`s Co-op Department provides assistance in developing co-op job opportunities and guides the overall process, but does not guarantee that a student will obtain employment in a co-op work term. Co-op students may be required to relocate to take part in the co-op employment opportunities available in their industry and must cover all associated expenses; e.g., travel, work permits, visa applications, accommodation and all other incurred expenses.
Co-op work terms are typically 14 weeks in duration and are completed during a term when students are not taking courses. For more information on your program`s co-op level(s), visit the courses tab on your program`s webpage.
International students enrolled in a co-op program are required by Immigration, Refugees and Citizenship Canada (IRCC) to have a valid Co-op/Internship Work Permit prior to commencing their work term. Without this document International students are not legally eligible to engage in work in Canada that is part of an academic program. The Co-op/Internship Work Permit does not authorize international students to work outside the requirements of their academic program.
For more information on co-op programs, the co-op work/study schedule, as well as general and program-specific co-op eligibility criteria, please visit www.algonquincollege.com/coop.
Several courses can assist in the preparation for industry standards examinations (CST2102, CST2200, CST2203, CST2204, CST2205, CST2206 and CST2212).
Program curriculum is reviewed annually to reflect evolving industry trends and standards in this information technology field.
Applicants should have intermediate computer skills, such as experience installing software, writing basic SQL queries, as well as understanding basic operating system and programming concepts and commands. Candidates without this background, that are otherwise from a relevant discipline and are confident in their ability to learn these skills, are also encouraged to apply.