Location
Start Dates

  • January 10, 2022
Duration

2Terms

Program Delivery

  • Any-time Online
Tuition Per Half-Term

Domestic: $2,400

Based on a typical eight months (two terms) to complete program, the estimated tuition total is $9,200 

Program Description

The Data Management and Analytics Post-diploma Certificate prepares learners to uncover insights from unstructured data sets to inform data-driven decision making. Learners will determine data requirements, plan for the data life cycle, model data, and use information technology tools to gather data and interpret results. Graduates of the program will have experience with relational database systems, data warehousing, data quality improvement, and visual analytics, along with an introduction to working with big data. Graduates will be able to design data analytics projects to help organizations across sectors make informed and actionable decisions. Resolving real-life business and organizational challenges will be central to project work.

This is a competency-based education (“CBE”) program, not a traditional classroom program, with a small cohort of only 25 students each term. CBE provides excellent flexibility and control for students, and is ideal for those who have existing training, are already self-taught, or are highly self-motivated. Like all programs, you’ll still have access to dedicated instructors and academic supports. For more information, visit our CBE page

Potential Graduate Career Opportunities

Exciting career opportunities await in the public and private sectors, including companies and corporations, non-profit agencies, and government agencies.

  • Data Analyst
  • Database Administrator
  • Data Merger Specialist
  • Data Analytics Professional
  • Data Architect
Course Listings

Domestic Applicants

Welcome Centre
South Campus – Main Floor
info@bowvalleycollege.ca
403-410-1402


International Learner Applicants

International Education
North Campus – Third Floor
international@bowvalleycollege.ca
403-410-3476


Admission Requirements

Academic requirements
  • Completion of a diploma or equivalent in business administration, information technology, engineering, or software development
  • Credit in Math 30-1 or Math 30-2 or equivalent       
English language proficiency requirements

For applicants whose first language is not English, please review English language proficiency requirements.

Please note
  •  Learners are expected to have programming experience or to complete a preparatory course
  •  A laptop computer meeting minimum specifications is required for this program (see below)
  •  Additional course-specific software may be required

Laptop specifications
  • Intel quad core CPU (i5 or i7)
  • 8GB RAM (16GB recommended)
  • 13 inch 1080p screen (15 inches recommended)
  • a dedicated graphics card with 2GB of VRam
  • 128GB solid state hard drive (256GB recommended)
  • portable hard drive (for data backup)
  • Windows 10

** Equivalent specification in an Apple MacBook Pro is acceptable.

Course Listings

Domestic Applicants

Welcome Centre
South Campus – Main Floor
info@bowvalleycollege.ca
403-410-1402


International Learner Applicants

International Education
North Campus – Third Floor
international@bowvalleycollege.ca
403-410-3476

Course Listing


Courses

Required CoursesCredit

Understanding the data-driven programming methodology and having a sound programming background are foundational skills for anyone interested in working with data. This course introduces students to the principles of programming and application design. In addition, students are exposed to the concepts of data structures and algorithms. Using a hands-on approach, students gain experience developing data driven software applications.

Course Delivery

Effective data analysis requires the integration of business understanding and data understanding. In this course, learners will be introduced to a range of common business processes, workflows, and management strategies across a range of sectors (such as sales, marketing, accounting, quality improvement, product/service delivery, product development, and human resources), in addition to their associated data needs. They will develop their ability to apply this knowledge to real-world business contexts to identify and define business goals and design appropriate data projects.

Course Delivery

The quality of a data analysis project is limited by the quality of the data used. In this course, learners will develop the skills to locate and select relevant, high-quality data that meets the requirements and constraints of a project and then use the appropriate techniques (such as database extraction, web-scraping, and Application Programming Interface (API)) to extract the required data. This course, along with Data Wrangling, make up the Data Acquisition and Wrangling competency; competency assessments in both courses must be successfully completed to be deemed competent.

In order to be successful in this course, learners must be competent in the Data Programming course outcomes.

Course Delivery

Once data has been collected, it must be prepared - reviewed, cleaned, structured, and enriched - prior to analysis. This is an incredibly important step in a data analysis project and learners will develop skills in identifying and correcting data issues (such as missing data, duplicates, outliers, coding issues), structuring data for analysis, and enriching it through augmentation, aggregation or transformation. The result of data wrangling is a finalized dataset that is ready for analysis. This course, along with Data Acquisition, make up the Data Acquisition and Wrangling competency; competency assessments in both courses must be successfully completed to be deemed competent.

In order to be successful in this course, learners must be competent in the Math for Data Analytics and Data Programming course outcomes.

Course Delivery

A key role of an analyst is to present insights in a meaningful and compelling way so that stakeholders can fulfill business objectives. This course will focus on the characteristics of effective visual storytelling, and successful learners will be able to incorporate the principles of visual storytelling to design visualization elements, reports, and interfaces (e.g. dashboards) that meet stakeholder needs and support decision making. This course, along with Building and Presenting Data Visualizations, make up the Visualizing Data and Insights competency; competency assessments in both courses must be successfully completed to be deemed competent.

In order to be successful in this course, learners must be competent in the Math for Data Analytics and Data Programming course outcomes.

Course Delivery

This course is specifically focused towards supporting the mathematical principles required to apply the concepts of data analysis and big data analytics. Students work through a series of hands-on assignments covering topics such as probability, distributions, regression, topological analysis, and descriptive and inferential statistics.

Course Delivery

The first step in data analysis is pattern identification. This is done through exploratory data analysis. Learners will develop skills in applying both manual and machine-learning approaches to exploratory analysis in order to identify, characterize, and evaluate relationships that exist in datasets, according to the business questions they are looking to answer. Learners will then use the relationships identified during exploratory analysis to build simple predictive (supervised learning) models based on regression and classification. This course, along with Data Insights into Business Problems, make up the Performing Data Analysis competency; competency assessments in both courses must be successfully completed to be deemed competent.

In order to be successful in this course, learners must be competent in the Math for Data Analytics and Data Programming course outcomes.

Course Delivery

Enterprise analytics focus on the effective use of data and information to help organizations make quality decisions. In this course, learners will synthesize the results of descriptive and predictive analyses and translate them into actionable business insights. Successful learners will be able to develop defensible recommendations about business decisions and future analysis opportunities. This course, along with Data Analysis, make up the Performing Data Analysis competency; competency assessments in both courses must be successfully completed to be deemed competent.

Course Delivery

In this course, learners will develop the technical skills required to apply a range of techniques to realize any design vision. They will learn to integrate their technical and communication skills to build and refine simple and complex visualizations to optimize effectiveness. In addition, they will learn how to close off a project and ensure that decision makers have what they need to make decisions. This course, along with Designing Effective Visualizations, make up the Visualizing Data and Insights competency; competency assessments in both courses must be successfully completed to be deemed competent.

Course Delivery

Working alone or in a small team, students research, design, develop, and implement an applied big data analytics research project to satisfy a real organizational or community need. Students are expected to apply all of their knowledge and skills to produce a functioning prototype of their project idea.

Course Delivery
  • If you are currently studying in a post-secondary program at BVC, please register for your courses via mybvc to ensure your enrolments and fees are processed appropriately.
  • Cart total based on domestic tuition rates. For information about International Tuition rates please see Fee Information
  • If you anticipate applying for a student loan, your payment will be refunded to you based on your loan award once your funding has been received by BVC.

Your cart is currently empty.

Browse Available Courses

We use cookies to ensure that we give you the best experience on our website. Learn more in our privacy policy