Learn To Be A Data Analyst
The Applied Data Analytics Certificate (ADAC) from BCIT Computing provides the computer science foundations for data analytics systems.
Students learn how to determine data requirements, plan for the entire data life cycle, model data, and use IT tools to mine data for business intelligence and data-driven decision making.
Starting with relational database systems, students have a foundation for data warehouse, data quality improvement, and visual analytics.
Statistics for data analytics, IT and Internet Law, and IT security are required courses, along with Hadoop for an introduction to Big Data.
Participants have over a dozen elective courses to choose from, including UX/UI, web, database development, several business intelligence options, performance management and evidence-based decision making.
After the electives are completed, two advanced courses in statistical techniques and data analytics are required.
Depending on electives, students may be able to complete this BCIT credential with as few as sixteen courses, part-time in the evenings and on weekends.
Upon program completion, students will know how to integrate scalable and secure business intelligence solutions for Management Information Systems (MIS).
Graduates of the Applied Data Analytics Certificate (ADAC) will be able to design data analytics projects to help organizations across sectors make informed and actionable decisions.
ADAC graduates will have learned the technical computing foundations to keep up with changes in data technologies and future business intelligence trends.
COMP 1002 or equivalent knowledge of file management on a Windows based PC.
COMP 2010 or COMP 1362 or equivalent knowledge.
BC High School Grade 12 English and Grade 12 Math, or equivalent knowledge are recommended for success.
Students in this program are required to have solid English comprehension, reading, writing and speaking skills.
Specific prerequisites or equivalent knowledge are required for each course.
The Applied Data Analytics Certificate (ADAC) program is aimed at mature students with other post-secondary education looking to acquire an additional set of skills that are needed in the marketplace.
It is not designed for those students just out of high school with no other education or work experience; those students should consider completing a Diploma or Degree in order to be well positioned in the job market.
NOTE: Students who have completed the CST or CIT Diploma may have credit exemptions for COMP 1630 and other course components. Please contact the department for details.
Students who have completed or who are in process of completing the Associate Certificate in Applied Database Administration and Design (ADAD) will have advanced standing in ADAC.
Please complete COMP 1630 Relational Database Design and SQL prior to declaring this Applied Data Analytics Certificate (ADAC).
Costs & Supplies
All Computing Part-time Studies programs are course by course registration.
Course tuition and textbooks for this program will cost approximately $9,000 depending on electives chosen. Specific textbooks are required, some COMP courses also have lower cost eBook options.
Students register and pay for available courses online, by clicking on the green block 'Add to Cart'. Follow the directions to obtain a BCIT student number if you do not already have one.
Please register early to avoid disappointment, our database courses are very popular and fill weeks in advance.
Do you have credits from another BC/Yukon post-secondary school? Do you want to know if
they transfer to courses here at BCIT? Check out BCIT's
Transfer Equivalency Database to find out.
The foundations of this program include group work, written communications of technical system specifications and oral presentations in a team environment.
Please note: Some COMP courses prepare students for Industry exams which are independent from BCIT credentials. These exams may be purchased for additional costs, from various third parties.
After completing the core courses in Relational Database Design with SQL, Business Analysis and Systems Design and Data Warehouse Foundations for Business Intelligence, students then have a variety of Business Intelligence elective choices from SAP and Microsoft.
Electives include: Technical Writing, UX/UI Development, IT Project Management, Web Development, Web Analytics, Performance Management and Evidence-based Decision Making.
This program must be completed within 5 years. Students who only complete one course per term will take 5 years to finish this certificate. Those students who complete two courses per term may complete the program in less than 3 years.
Not all courses are offered every term and each course has specific prerequisites.
Students will also require additional preparation and studying in order to pass these industry certification exams.
Graduating & Jobs
Huge demand for data analytics
A recent LinkedIn study revealed that statistical analysis and data mining was the hottest skill in Canada in 2015
. Career options abound in this highly active field.
Faculty, Advisors & Staff
BCIT Computing Part-time Studies COMP courses are delivered by subject matter in Computing and Information Technology, Math, Business Systems, Law, Business Intelligence and Analytics.
The Applied Data Analytics Certificate (ADAC) program was developed in conjunction with subject matter experts.
Program surveys and proposals were coordinated by Cynthia van Ginkel, Business Development Manager for SoCAS.
Both ADAD and ADAC were created and developed by Kevin Cudihee, Program Head for BCIT Computing PTS and Industry Training.
BCIT Computing Part-time Studies courses are delivered by subject matter experts who work in the field. Several of our COMP instructors are graduates of BCIT's CST, Computer Systems Technology diploma and degree programs.
Courses were developed and delivered by: Diana Gerrard, Joanne Atha, Andrew McConnell, Takashi Nakamura, Benjamin Yu, Frank Wegener, Pauline Panek, Mark Bacchus, Ed Rubuliak, Glen Elliott, Dean Palmer, Donabel Santos, Roland Santos, Gordon Hamilton, Steve Overland, and Farshad Abasi.
Elective courses were developed by Arron Ferguson, Andre Coetzee, Behdad Barati, Cathy Michitsch, Marin Kostadinovic, Kirk Mitchel and Shan Satoglu.
Administrative support is provided by Joanne Atha.
This credential was approved by the Computer Systems Technology, CST Curriculum Committee and School of Computing an Academic Studies Quality Committee, SQC.
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Programs and courses are subject to change without notice.