Big Data Solution Architecture (Optional Co-op)

Notice:

Students in this program are required to bring a mobile device that meets minimum specified requirements.

About the Program

Companies that embrace modern information technology must deal with very large amounts of data. This "Big Data" often shows patterns and trends on which to make good business decisions. To support Business Analysts, students in this program focus on the collection, processing and presentation of these large data sets. Developing skills in solution development, database design (both SQL and NoSQL), data processing, data warehousing and data visualization help build a solid foundation in this important support role. Through applied learning techniques such as problem-based learning, students will be able to apply their learning to real world problems. The optional co-op stream includes one co-op work term.

Program Information

Length: One-year Ontario College Graduate Certificate program
Delivery Sequence:
         Waterloo - September/2020 - Fall | Winter
         Waterloo - January/2021 - Winter | Spring/Summer
         Waterloo - May/2021 - Spring/Summer | Fall
Location: Waterloo
Start: September, January and May
First-Year Capacity: 25

Admission Requirements

Note re: Admission Requirements

Applying to the Co-op Stream

Co-op Information

Admission Procedures

Tuition & Fees

Tuition fee details for the 2019-2020 year are listed below. Fees for the next academic year are unavailable at this time. Books and supplies are additional.

Non Co-op Program Fees

Domestic Fees

Estimated fees based upon the previous academic year (2019 / 2020) for Big Data Solution Architecture - Program # 1448

Waterloo - Fall 2019 Level 1 & 2 (Program Start: 2019-09-03)
Description Fall 2019 Winter 2020
Technology Enhancement Fee $135.00 $135.00
Program Tuition Fee (ACR) $2520.00 $2520.00
CSI Health Plan Fee $295.00 $0.00
ONE Card Fee $7.00 $7.00
CSI Legal Protection $28.00 $0.00
Capital Development Fee - Waterloo $48.00 $48.00
CSI Advocacy Fee $12.50 $12.50
CSI Event Fee $40.00 $40.00
CSI Student Clubs $3.50 $3.50
Locker Fee $5.00 $5.00
Alumni Services $5.00 $5.00
Student Spaces $10.00 $10.00
Graduation fee $15.00 $15.00
Academic Support Fee $18.00 $18.00
CSI Academic Support Fee $5.00 $5.00
Health and Wellness Fee $20.00 $20.00
CSI Health and Wellness Fee $10.00 $10.00
Career Services Fee $10.00 $10.00
CSI Career Services Fee $10.00 $10.00
Session Total $3197.00 $2874.00
Year Total   $6071.00
Waterloo - Winter 2020 Level 1 & 2 (Program Start: 2020-01-13)
Description Winter 2020 Spring 2020
Technology Enhancement Fee $135.00 $135.00
Program Tuition Fee (ACR) $2520.00 $2520.00
CSI Health Plan Fee $197.65 $0.00
ONE Card Fee $7.00 $7.00
CSI Legal Protection $18.76 $0.00
Capital Development Fee - Waterloo $48.00 $48.00
CSI Advocacy Fee $12.50 $12.50
CSI Event Fee $40.00 $40.00
CSI Student Clubs $3.50 $3.50
Locker Fee $5.00 $5.00
Alumni Services $5.00 $5.00
Student Spaces $10.00 $10.00
Graduation fee $15.00 $15.00
Academic Support Fee $18.00 $18.00
CSI Academic Support Fee $5.00 $5.00
Health and Wellness Fee $20.00 $20.00
CSI Health and Wellness Fee $10.00 $10.00
Career Services Fee $10.00 $10.00
CSI Career Services Fee $10.00 $10.00
Session Total $3090.41 $2874.00
Year Total   $5964.41
Waterloo - Spring 2020 Level 1 (Program Start: 2020-05-11)
Description Spring 2020
Technology Enhancement Fee $135.00
Program Tuition Fee (ACR) $2520.00
CSI Health Plan Fee $97.35
ONE Card Fee $7.00
CSI Legal Protection $18.76
Capital Development Fee - Waterloo $48.00
CSI Advocacy Fee $12.50
CSI Event Fee $40.00
CSI Student Clubs $3.50
Locker Fee $5.00
Alumni Services $5.00
Student Spaces $10.00
Graduation fee $15.00
Academic Support Fee $18.00
CSI Academic Support Fee $5.00
Health and Wellness Fee $20.00
CSI Health and Wellness Fee $10.00
Career Services Fee $10.00
CSI Career Services Fee $10.00
Session Total $2990.11
Year Total $2990.11

International Fees

Estimated International fees based upon the previous academic year (2019 / 2020) for
Big Data Solution Architecture - Program # 1448


Waterloo - Fall 2019 Level 1 & 2 (Program Start: 2019-09-03)
Description Fall 2019 Winter 2020
International Program Tuition $0.00 $0.00
Technology Enhancement Fee $135.00 $135.00
CSI Health Plan Fee $295.00 $0.00
ISR $375.00 $375.00
International Health Fee $0.00 $0.00
ONE Card Fee $7.00 $7.00
CSI Legal Protection $28.00 $0.00
Capital Development Fee - Waterloo $48.00 $48.00
CSI International Health Fee $500.00 $0.00
Grad. Cert. Program Tuition $6500.00 $6500.00
CSI Advocacy Fee $12.50 $12.50
CSI Event Fee $40.00 $40.00
CSI Student Clubs $3.50 $3.50
Locker Fee $5.00 $5.00
Alumni Services $5.00 $5.00
Student Spaces $10.00 $10.00
Graduation fee $15.00 $15.00
Academic Support Fee $18.00 $18.00
CSI Academic Support Fee $5.00 $5.00
Health and Wellness Fee $20.00 $20.00
CSI Health and Wellness Fee $10.00 $10.00
Career Services Fee $10.00 $10.00
CSI Career Services Fee $10.00 $10.00
Session Total $8052.00 $7229.00
Year Total   $15281.00

Waterloo - Winter 2020 Level 1 & 2 (Program Start: 2020-01-13)
Description Winter 2020 Spring 2020
International Program Tuition $0.00 $0.00
Technology Enhancement Fee $135.00 $135.00
CSI Health Plan Fee $197.65 $0.00
ISR $375.00 $375.00
International Health Fee $0.00 $0.00
ONE Card Fee $7.00 $7.00
CSI Legal Protection $18.76 $0.00
Capital Development Fee - Waterloo $48.00 $48.00
CSI International Health Fee $335.00 $0.00
Grad. Cert. Program Tuition $6500.00 $6500.00
CSI Advocacy Fee $12.50 $12.50
CSI Event Fee $40.00 $40.00
CSI Student Clubs $3.50 $3.50
Locker Fee $5.00 $5.00
Alumni Services $5.00 $5.00
Student Spaces $10.00 $10.00
Graduation fee $15.00 $15.00
Academic Support Fee $18.00 $18.00
CSI Academic Support Fee $5.00 $5.00
Health and Wellness Fee $20.00 $20.00
CSI Health and Wellness Fee $10.00 $10.00
Career Services Fee $10.00 $10.00
CSI Career Services Fee $10.00 $10.00
Session Total $7780.41 $7229.00
Year Total   $15009.41

Waterloo - Spring 2020 Level 1 (Program Start: 2020-05-11)
Description Spring 2020
International Program Tuition $0.00
Technology Enhancement Fee $135.00
CSI Health Plan Fee $97.35
ISR $375.00
International Health Fee $0.00
ONE Card Fee $7.00
CSI Legal Protection $18.76
Capital Development Fee - Waterloo $48.00
CSI International Health Fee $165.00
Grad. Cert. Program Tuition $6500.00
CSI Advocacy Fee $12.50
CSI Event Fee $40.00
CSI Student Clubs $3.50
Locker Fee $5.00
Alumni Services $5.00
Student Spaces $10.00
Graduation fee $15.00
Academic Support Fee $18.00
CSI Academic Support Fee $5.00
Health and Wellness Fee $20.00
CSI Health and Wellness Fee $10.00
Career Services Fee $10.00
CSI Career Services Fee $10.00
Session Total $7510.11
Year Total $7510.11

Co-op Program Fees

Optional Co-op Domestic Fees

Estimated fees based upon the previous academic year (2019 / 2020) for Big Data Solution Architecture (Optional Co-op) - Program # 1448C

Waterloo - Fall 2019 Level 3 (Program Start: 2019-01-07)
Description Fall 2019
Student Priority Fee $0.00
Graduation/Alumni Services Fee $0.00
Administration Fee $0.00
Technology Enhancement Fee $0.00
CSI Association Fee $0.00
CSI - Advocacy Fee $0.00
Program Tuition Fee (ACR) $0.00
CSI Health Plan Fee $0.00
ONE Card Fee $0.00
CSI Legal Protection $0.00
Capital Development Fee - Waterloo $0.00
CSI Advocacy Fee $0.00
CSI Event Fee $0.00
CSI Student Clubs $0.00
Locker Fee $0.00
Alumni Services $0.00
Student Spaces $0.00
Graduation fee $0.00
Academic Support Fee $0.00
CSI Academic Support Fee $0.00
Health and Wellness Fee $0.00
CSI Health and Wellness Fee $0.00
Career Services Fee $0.00
CSI Career Services Fee $0.00
Session Total $0.00
Year Total  
Waterloo - Winter 2020 Level 2 & 3 (Program Start: 2019-09-03)
Description Winter 2020 Spring 2020
Technology Enhancement Fee $135.00 $0.00
Program Services Fee $557.00 $0.00
Program Tuition Fee (ACR) $2520.00 $0.00
CSI Health Plan Fee $197.65 $0.00
ONE Card Fee $7.00 $0.00
CSI Legal Protection $18.76 $0.00
Capital Development Fee - Waterloo $48.00 $0.00
CSI Advocacy Fee $12.50 $0.00
CSI Event Fee $40.00 $0.00
CSI Student Clubs $3.50 $0.00
Locker Fee $5.00 $0.00
Alumni Services $5.00 $0.00
Student Spaces $10.00 $0.00
Graduation fee $15.00 $0.00
Academic Support Fee $18.00 $0.00
CSI Academic Support Fee $5.00 $0.00
Health and Wellness Fee $20.00 $0.00
CSI Health and Wellness Fee $10.00 $0.00
Career Services Fee $10.00 $0.00
CSI Career Services Fee $10.00 $0.00
Session Total $3647.41 $0.00
Year Total   $3647.41
Waterloo - Spring 2020 Level 2 (Program Start: 2020-01-13)
Description Spring 2020
Technology Enhancement Fee $135.00
Program Services Fee $557.00
Program Tuition Fee (ACR) $2520.00
CSI Health Plan Fee $97.35
ONE Card Fee $7.00
CSI Legal Protection $18.76
Capital Development Fee - Waterloo $48.00
CSI Advocacy Fee $12.50
CSI Event Fee $40.00
CSI Student Clubs $3.50
Locker Fee $5.00
Alumni Services $5.00
Student Spaces $10.00
Graduation fee $15.00
Academic Support Fee $18.00
CSI Academic Support Fee $5.00
Health and Wellness Fee $20.00
CSI Health and Wellness Fee $10.00
Career Services Fee $10.00
CSI Career Services Fee $10.00
Session Total $3547.11
Year Total $3547.11

Optional Co-op International Fees

Estimated International fees based upon the previous academic year (2019 / 2020) for
Big Data Solution Architecture (Optional Co-op) - Program # 1448C


Waterloo - Fall 2019 Level 3 (Program Start: 2019-01-07)
Description Fall 2019
International Program Tuition $0.00
Student Priority Fee $0.00
Graduation/Alumni Services Fee $0.00
Administration Fee $0.00
Technology Enhancement Fee $0.00
CSI Association Fee $0.00
CSI - Advocacy Fee $0.00
CSI Health Plan Fee $0.00
ISR $0.00
International Health Fee $0.00
ONE Card Fee $0.00
CSI Legal Protection $0.00
Capital Development Fee - Waterloo $0.00
CSI International Health Fee $500.00
Grad. Cert. Program Tuition $0.00
CSI Advocacy Fee $0.00
CSI Event Fee $0.00
CSI Student Clubs $0.00
Locker Fee $0.00
Alumni Services $0.00
Student Spaces $0.00
Graduation fee $0.00
Academic Support Fee $0.00
CSI Academic Support Fee $0.00
Health and Wellness Fee $0.00
CSI Health and Wellness Fee $0.00
Career Services Fee $0.00
CSI Career Services Fee $0.00
Session Total $500.00
Year Total $500.00

Waterloo - Winter 2020 Level 2 & 3 (Program Start: 2019-09-03)
Description Winter 2020 Spring 2020
International Program Tuition $0.00 $0.00
Technology Enhancement Fee $135.00 $0.00
Program Services Fee $557.00 $0.00
CSI Health Plan Fee $197.65 $0.00
ISR $375.00 $0.00
International Health Fee $0.00 $0.00
ONE Card Fee $7.00 $0.00
CSI Legal Protection $18.76 $0.00
Capital Development Fee - Waterloo $48.00 $0.00
CSI International Health Fee $335.00 $0.00
Grad. Cert. Program Tuition $6500.00 $0.00
CSI Advocacy Fee $12.50 $0.00
CSI Event Fee $40.00 $0.00
CSI Student Clubs $3.50 $0.00
Locker Fee $5.00 $0.00
Alumni Services $5.00 $0.00
Student Spaces $10.00 $0.00
Graduation fee $15.00 $0.00
Academic Support Fee $18.00 $0.00
CSI Academic Support Fee $5.00 $0.00
Health and Wellness Fee $20.00 $0.00
CSI Health and Wellness Fee $10.00 $0.00
Career Services Fee $10.00 $0.00
CSI Career Services Fee $10.00 $0.00
Session Total $8337.41 $0.00
Year Total   $8337.41

Waterloo - Spring 2020 Level 2 (Program Start: 2020-01-13)
Description Spring 2020
International Program Tuition $0.00
Technology Enhancement Fee $135.00
Program Services Fee $557.00
CSI Health Plan Fee $97.35
ISR $375.00
International Health Fee $0.00
ONE Card Fee $7.00
CSI Legal Protection $18.76
Capital Development Fee - Waterloo $48.00
CSI International Health Fee $165.00
Grad. Cert. Program Tuition $6500.00
CSI Advocacy Fee $12.50
CSI Event Fee $40.00
CSI Student Clubs $3.50
Locker Fee $5.00
Alumni Services $5.00
Student Spaces $10.00
Graduation fee $15.00
Academic Support Fee $18.00
CSI Academic Support Fee $5.00
Health and Wellness Fee $20.00
CSI Health and Wellness Fee $10.00
Career Services Fee $10.00
CSI Career Services Fee $10.00
Session Total $8067.11
Year Total $8067.11

Financial Assistance

The Ontario Student Assistance Program (OSAP) is a needs-based program designed to help Ontario students cover the cost of post-secondary education. Funded by the federal and provincial governments, OSAP is intended to promote equality of opportunity for post-secondary studies through direct financial assistance for educational costs and living expenses. These interest-free loans are intended to supplement your financial resources and those of your family. The majority of students apply for loan assistance via the OSAP website. Students can also print the application booklet through the OSAP website.

For more information, please visit Financial Services/Awards.

Graduate Opportunities

The business intelligence profession is growing and the demand is increasing for the information technology professionals supporting it. This program prepares students to build and support the systems capturing, storing and visualizing the vast amounts of data available today. Graduates will have the knowledge and skills required for career growth in such positions as business intelligence analyst, data architect, business intelligence solution specialist, business intelligence developer and data scientist in large manufacturing companies, financial institutions, the public service sector, and any organization with an active web presence.

For more details on related occupations, job market information and career opportunities, see the Government of Canada website: https://www.jobbank.gc.ca/home

Pathways & Credit Transfer

Conestoga pathways enable students to build on their academic achievements in order to earn a degree or additional credential. Pathways are formed through agreements between Conestoga programs or partner institutions.

Often applicants have earned credits from another college or university that may allow a student to be granted advanced standing or exemption. Learn more about credit transfer opportunities at Conestoga.

Prior Learning Assessment and Recognition (PLAR)

Conestoga recognizes prior learning of skills, knowledge or competencies that have been acquired through employment, formal and informal education, non-formal learning or other life experiences. Prior learning must be measurable at the required academic level and meet Conestoga standards of achievement for current courses. Challenge exams and portfolio development are the primary methods of assessment. Other methods of assessment may be available depending upon the nature of the course objectives. Successful completion of the assessment results in an official course credit that will be recorded on the student's Conestoga transcript. PLAR cannot be used by registered Conestoga students for the clearance of academic deficiencies, to improve grades or to obtain admission into a program.

Learn more about PLAR.

Program Courses

Non Co-op Course Details (1448)
Course Code Course Title and Description
Level 1
CON0101 Conestoga 101

Description: This self-directed course focuses on introducing new students to the supports, services, and opportunities available at Conestoga College. By the end of this course, students will understand the academic expectations of the Conestoga learning environment, as well as the supports available to ensure their academic success. Students will also be able to identify on-campus services that support their health and wellness, and explore ways to get actively involved in the Conestoga community through co-curricular learning opportunities.
Hours: 1
Credits:
Pre-Requisites:
CoRequisites:

PROG8400 Relational Database Design

Description: Database design must accurately reflect business requirements in order to enable effective data analysis. In this course, students will learn how to describe business rules in Entity-Relationship and Process Diagrams and subsequently develop relations to normalize the data. Students will also focus on the implementation of the database design by using Structured Query Language (SQL) to build, query and maintain large data sets.
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

PROG8410 NoSQL Database Implementation

Description: “Not only SQL” databases are heavily used in Big Data applications - particularly those that are web-related. The benefits in scalability and performance make a NoSQL database a compelling choice. In this course, students will design and implement NoSQL databases using systems like CouchDB, MongoDB, Cassandra or Hive. Students will also use the Hadoop framework to demonstrate the implementation of a NoSQL database in a large-scale storage and data processing model.
Hours: 56
Credits: 4
Pre-Requisites:
CoRequisites:

PROG8420 Programming for Big Data

Description: Custom applications are often required to collect, transform and present data. In this course, students will review fundamental concepts like language syntax, data types, flow control and modular programming. Students will also use programming languages (like Python, Java and C#), program libraries and visual components to analyze and present information derived from the connected data sources.
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

PROG8430 Data Analysis Mathematics, Algorithms and Modeling

Description: The fundamentals of Big Data Analysis are rooted in traditional statistics and advanced statistical models. Students will begin this course by reviewing ways in which a common tool (like a spreadsheet) provides powerful statistical analysis tools. Then, students will implement some formulae and algorithms used for Big Data analysis in custom computer programs (using, for example, R) and specialized software packages like SPSS, MATLAB and Statistics. Finally, students will examine topics in predictive and prescriptive modeling.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

PROG8440 Software Quality

Description: Reliable, accurate and maintainable software is critical to the success of a company. In this course, the student learns the fundamentals of project management in both traditional and agile approaches. In addition, the student learns the importance of creating good software by applying good design principles and implementing solid testing methodologies.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

Level 2
ETHS8010 Ethics and Security

Description: Data Mining in Business Intelligence and Big Data often involves the analysis of demographic and psychographic data. In this course, students will examine the ethics of using this type of data, as well as topics in applying appropriate security measures in data collection and visualization.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

INFO8120 Emerging Trends in Big Data

Description: In a high-tech oriented field like Big Data analysis, there are constantly new topics to explore. The course is driven by student presentations in areas like computing platforms, data storage, environmentally sustainable practices, analysis tools, programming languages and Open Data.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

PROG8450 Big Data Integration and Storage

Description: Many Big Data applications require the acquisition and integration of data from multiple data sources. Often, these data sources are from different databases or data stores. In this course, students will demonstrate approaches to data collection and integration with a common data store. They will also explore, demonstrate, and compare the two general approaches of using a Data Warehouse versus a NoSQL implementation (like Hadoop).
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

PROG8460 Web Analytics and Business Intelligence Tools

Description: Companies with a Web presence are very interested in analyzing their site usage. Students in this course will examine data mining through social media tracking. At first, students will demonstrate how to gather and analyze the data that most web sites track automatically. Later, students will study Google Analytics, including setting it up and understanding the data that is available. Finally, students will install and configure a commercially available tool to visualize and explore large data sets.
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

SENG8080 Case Studies

Description: The popularity of the Internet has provided numerous examples of best (and worst) practices in the field of Big Data analysis. In this course, students will focus on group activity and discussion to review some of the more compelling case studies in Big Data. Students will examine these case studies from the point of view of architecture, implementation and maintenance of the solutions. In addition, the students will discuss how the entrepreneurial spirit helped drive innovation in this field.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

Optional Co-op Course Details (1448C)
Course Code Course Title and Description
Level 1
CON0101 Conestoga 101

Description: This self-directed course focuses on introducing new students to the supports, services, and opportunities available at Conestoga College. By the end of this course, students will understand the academic expectations of the Conestoga learning environment, as well as the supports available to ensure their academic success. Students will also be able to identify on-campus services that support their health and wellness, and explore ways to get actively involved in the Conestoga community through co-curricular learning opportunities.
Hours: 1
Credits:
Pre-Requisites:
CoRequisites:

PROG8400 Relational Database Design

Description: Database design must accurately reflect business requirements in order to enable effective data analysis. In this course, students will learn how to describe business rules in Entity-Relationship and Process Diagrams and subsequently develop relations to normalize the data. Students will also focus on the implementation of the database design by using Structured Query Language (SQL) to build, query and maintain large data sets.
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

PROG8410 NoSQL Database Implementation

Description: “Not only SQL” databases are heavily used in Big Data applications - particularly those that are web-related. The benefits in scalability and performance make a NoSQL database a compelling choice. In this course, students will design and implement NoSQL databases using systems like CouchDB, MongoDB, Cassandra or Hive. Students will also use the Hadoop framework to demonstrate the implementation of a NoSQL database in a large-scale storage and data processing model.
Hours: 56
Credits: 4
Pre-Requisites:
CoRequisites:

PROG8420 Programming for Big Data

Description: Custom applications are often required to collect, transform and present data. In this course, students will review fundamental concepts like language syntax, data types, flow control and modular programming. Students will also use programming languages (like Python, Java and C#), program libraries and visual components to analyze and present information derived from the connected data sources.
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

PROG8430 Data Analysis Mathematics, Algorithms and Modeling

Description: The fundamentals of Big Data Analysis are rooted in traditional statistics and advanced statistical models. Students will begin this course by reviewing ways in which a common tool (like a spreadsheet) provides powerful statistical analysis tools. Then, students will implement some formulae and algorithms used for Big Data analysis in custom computer programs (using, for example, R) and specialized software packages like SPSS, MATLAB and Statistics. Finally, students will examine topics in predictive and prescriptive modeling.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

PROG8440 Software Quality

Description: Reliable, accurate and maintainable software is critical to the success of a company. In this course, the student learns the fundamentals of project management in both traditional and agile approaches. In addition, the student learns the importance of creating good software by applying good design principles and implementing solid testing methodologies.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

Level 2
CEPR8200 Co-op and Career Preparation

Description: This series of modules will prepare graduate certificate students for job searching for their co-op work terms and for their future careers. Students will familiarize themselves with the co-operative education policies and procedures and will learn the expectations, rules, and regulations that apply in the workplace regarding social, organizational, ethical, and safety issues while deepening their awareness of self-reflective practices. Students will critically reflect on their skills, attitudes, and expectations and evaluate available opportunities in the workplace. Successful completion of this course is a requirement for co-op eligibility.
Hours: 14
Credits: 1
Pre-Requisites:
CoRequisites:

ETHS8010 Ethics and Security

Description: Data Mining in Business Intelligence and Big Data often involves the analysis of demographic and psychographic data. In this course, students will examine the ethics of using this type of data, as well as topics in applying appropriate security measures in data collection and visualization.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

INFO8120 Emerging Trends in Big Data

Description: In a high-tech oriented field like Big Data analysis, there are constantly new topics to explore. The course is driven by student presentations in areas like computing platforms, data storage, environmentally sustainable practices, analysis tools, programming languages and Open Data.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

PROG8450 Big Data Integration and Storage

Description: Many Big Data applications require the acquisition and integration of data from multiple data sources. Often, these data sources are from different databases or data stores. In this course, students will demonstrate approaches to data collection and integration with a common data store. They will also explore, demonstrate, and compare the two general approaches of using a Data Warehouse versus a NoSQL implementation (like Hadoop).
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

PROG8460 Web Analytics and Business Intelligence Tools

Description: Companies with a Web presence are very interested in analyzing their site usage. Students in this course will examine data mining through social media tracking. At first, students will demonstrate how to gather and analyze the data that most web sites track automatically. Later, students will study Google Analytics, including setting it up and understanding the data that is available. Finally, students will install and configure a commercially available tool to visualize and explore large data sets.
Hours: 84
Credits: 6
Pre-Requisites:
CoRequisites:

SENG8080 Case Studies

Description: The popularity of the Internet has provided numerous examples of best (and worst) practices in the field of Big Data analysis. In this course, students will focus on group activity and discussion to review some of the more compelling case studies in Big Data. Students will examine these case studies from the point of view of architecture, implementation and maintenance of the solutions. In addition, the students will discuss how the entrepreneurial spirit helped drive innovation in this field.
Hours: 42
Credits: 3
Pre-Requisites:
CoRequisites:

Level 3
COOP8150 Co-op Work Term (Big Data Analytics - Solutions Development)

Description: This co-op work term will provide students with college-approved work experience in an authentic, professionally relevant work environment. Through this course, students will be provided the opportunity to connect theory and practice by leveraging their academic knowledge to develop specialized vocational skills. The practical applications of this work term will promote students' awareness of key concepts and terminology in their field, improve their competencies in problem-solving and decision-making, further their application of professional judgement, hone their leadership skills (independently or as part of team), and enhance their capacity to critically analyze and reflect on their demonstrated abilities in the workplace.
Hours: 420
Credits: 14
Pre-Requisites: CEPR8200
CoRequisites:

Program Outcomes

Software Downloads

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  • Your login information will determine what programs you have access to download.

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Program Handbook

Handbook

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ONTARIOCOLLEGES.CA
60 Corporate Court
Guelph, Ontario
Canada N1G 5J3

Detailed steps on the application process may help you to apply.

International students should apply online using the Ontario Colleges.ca International applicant portal.. Please note that not all programs are open to international students; check the list of open programs on our International Student Programs web page before applying.
For additional program information, call the Information Centre at 519-748-5220 ext 3656.

Disclaimer

The College reserves the right to alter information including requirements and fees and to cancel at any time a program, course, or program major or option; to change the location and/or term in which a program or course is offered; to change the program curriculum as necessary to meet current competencies in the job market or for budgetary reasons; or to withdraw an offer of admission both prior to and after its acceptance by an applicant or student because of insufficient applications or registrations, over-acceptance of offers of admission, budgetary constraints, or for other such reasons. In the event the College exercises such a right, the College’s sole liability will be the return of monies paid by the applicant or student to the College.

Students actively registered in cohort delivered programs who take longer than the designed program length of time to complete their studies are accountable for completing any new or additional courses that may result due to changes in the program of study. Unless otherwise stated, students registered in non-cohort delivered programs must complete the program of study within seven years of being admitted to the program.

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