Enrol before January 10 to receive a $1,500 study credit.
School of Technology

Data Analyst

Learn how to interpret data and create data management solutions to support organizations.

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Program Overview

The Data Analyst program will prepare you for an in-demand, rewarding role that you can find in a variety of industries. While you’re a student, you’ll learn how to ethically collect data, articulate that data, and present findings to coworkers. As a data analyst, you will need strong critical thinking skills as well as statistical and data security knowledge.

This program is best suited for individuals wanting to build new skills and pivot their existing careers, though it’s also a great option for anyone looking for a more defined role with a specialized skill set. Graduates can find work at organizations in both the public and private tech sectors. 

The coursework for this program is facilitated through Robertson Online and can be completed within 1 year, giving our students the ultimate flexibility as they pursue a meaningful career from anywhere in Canada. While you’ll be completing the program remotely, you’ll have instructor support along the way in the form of online office hours and virtual meetings.

This program has a mandatory 120-hour practicum before graduation. When it’s your time to shine, we’ll help you find a placement that matches your skills and meets your goals. Your practicum is a great way to apply your skills with industry professionals in a real work environment, so when you look for that first job, you’ll have experience in your back pocket.

Program Delivery

This program is delivered through our Winnipeg campus, and is also available via Robertson Online.

Campus Availability

This program is currently only taught at our winnipeg campus.

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Robertson Online

Don't live near a Robertson campus? This program is also available online.

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Program Details

Quick Facts

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Format:

Winnipeg Campus

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Duration:

51 Weeks

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Practicum:

120 Hours
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Admission Requirements

  • High school diploma verified by transcript or equivalent
  • A minimum grade of 70% in grade 12 math as verified by high school transcript or equivalent
  • Canadian Language Benchmark 7,7,7,7 or equivalent if English is an additional language

 

Our admissions agents can work with you to ensure you meet the program’s criteria. Need advice? A Student Admissions Advisor is here to support you.

Contact Admissions

Career Opportunities

Data Analysts are becoming more in demand due to the impact the global pandemic has had on the prevalence of technology. Graduates can find opportunities in a variety of industries and organizations. Employment opportunities include:

  • Data Analyst
  • Innovation Specialist
  • Business Analyst
  • Database Clerk
You could be earning in less than a year
$40,040-$72,800

Lifetime Career Services

Even though you’ll leave Robertson once you graduate, we will support you throughout your career. Our team will help you with resume building, job hunting and interview preparation and will continue to guide you as you advance in your role.

Before you graduate, you’ll be paired with a career specialist in your field who will help you find a meaningful place to start your career. As a graduate, you’ll have lifelong access to student services that are committed to your success and helping you thrive.

Learn more about Lifetime Career Services.

Next Start Dates

Online on your own time with 3 real-time optional sessions per week with your instructor.

Virtual Classroom
January 17, 2022
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New start dates are being released all the time. Contact us for more dates.

Not near a Robertson campus?
This program is also available online.

Topics of Study

Business Intelligence (100 Hours)

This course introduces students to the concept of Business Intelligence (BI) and how this serves as a foundation for the data analysis profession. Students will develop an understanding of BI approaches across disciplines such as banking, healthcare, government, and education. They will be introduced to key technologies used within these disciplines to support BI. Students will develop the skills to support effective BI through the use of data.

Career Preparation (40 Hours)

This course introduces students to career preparation strategies. Students will be introduced to job search strategies, interview and other career management strategies. Students will develop an understanding of the various stages of a career within the profession.

Business Communication (60 Hours)

This course provides students with the knowledge and tools to communicate effectively and professionally in the workplace. Students will be introduced to essential skills in writing, speaking, formal presentations and the use of technology to enhance workplace communication.

Dashboards (80 Hours)

In this course, students will be introduced to the design and development of dashboards. Students will develop the capacity to develop effective data dashboards, use dashboard technology effectively, and design dashboard to best fit organizational and reporting needs. Students will develop the skills to support data analytics through effective dashboards visualizations.

Data Collection (100 Hours)

This course introduces students to the process of data collection and storage. Students will be introduced to the processes of data collection, integration, storage, cleaning, and data security. Students will also explore the concept of ethical collection, storage and use of data. Students will develop the skills to effectively collect and manage data.

Database Design (100 Hours)

In this course, students will develop the capacity to develop and design databases. Students will develop the skills to design databases using common models and structures. They will be introduced to the elements of different databases and how to develop schema for each. Students will develop the skills to develop databases tailored to a variety of BI and data needs.

Data Manipulation (100 Hours)

In this course, students will be introduced to the process of data manipulation. Students will develop the skills to manipulate data in Excel and will learn scripting languages such as Python and SQL. Students will develop a broad understanding of data manipulation techniques and technologies.

Data Visualization (80 Hours)

This course will introduce students to data visualization techniques and strategies. Students will develop the capacity to develop effective data visualizations, use data visualization technology effectively, and design visualizations to best fit organizational and reporting needs. Students will develop the skills to support data analytics through effective visualizations and storytelling.

Introduction To The Data Analyst Profession (20 Hours)

This course introduces students to the Data Analyst profession . Students will develop an understanding of the roles and responsibilities of Data Analysts, along with the professional competencies expected within the discipline. They will explore the concept of professionalism and how ethical practice frames the work of Data Analyst professionals. Students will develop a comprehensive understanding of the profession.

Microsoft Office Applications (80 Hours)

This course will prepare students to perform functions common to all Microsoft Windows applications. Elements include the ability to create and manipulate Word, Excel, or PowerPoint applications, modify the display of toolbars and other on-screen elements, use online help, and perform file management, editing, formatting and printing functions common to most Windows applications.

Presentation Skills (40 Hours)

This course introduces students to the skills needed to develop effective written and oral presentations. Students will explore the key components of crafting effective reports and presentations.  They will be introduced to a variety of technologies that can be used to support these activities.  Students will develop the foundational skills to communicate data findings with key audiences and stakeholders.

Project Management (80 Hours)

This course will provide students with the skills, knowledge and tools to manage and execute projects efficiently and successfully. 

Statistical Methods (80 Hours)

This course provides students with a concrete foundation in probability and statistics as it relates to data analytics.  Students will develop their understanding of statistical thinking, sampling and probability, inferential and descriptive statistics.  Students will develop the skills to apply statistical reasoning and inference to sets of data and make comparisons between difference between machine learning and statistical models. 

Practicum or Practical Project (120 Hours)

This course integrates theory with practice through an integrated project or on site practicum. Students will apply knowledge and skills learnt throughout the program in practical and hands-on ways.  This component provides an opportunity for students to practice and refine data analyst skills and competencies.  Students will focus on a wide range of topics, including, but not limited to, data visualization, collection and manipulation.

Campus Experience

Virtual Classroom

Have the flexibility to live your life while learning remotely in our Virtual Classroom. Our flexible start dates, small class sizes and online learning tool Brightspace will help you stay on track with your assignments and connect with your peers and instructors.

Industry-Leading Instructors
Learn from industry professionals who bring real-life experience into the classroom. You can book office hours or get virtual support from your instructors through Brightspace, where you can schedule video appointments and use instant messenger to ask questions.

Lifelong Career Services
Connect with a career specialist in your field who will help you find a meaningful place to start your career. As a graduate, you’ll have lifelong access to student services that will help you with resume building, interview preparation and networking.

Financial Assistance & Funding

Robertson offers a variety of financial aid opportunities to ease students’ stress and allow them to focus on their studies. If you need extra support, we have flexible funding to accommodate all our students, no matter their financial situation. Our dedicated Financial Aid Officers will help you every step of the way.

Questions about tuition & financial assistance?

Contact Admissions

Work Experience Practicum

The practicum is an essential part of a learner’s program. It is both a graduation requirement and an extension of in-class learning. The practicum asks you to apply the skills, theories, and concepts that you learned in your classes in an entry-level work experience situation. 

Practicum must begin and end within the dates outlined in your program schedule and enrollment contract. Practicum is a full-time, unpaid commitment, and is jointly-procured (where you work directly with our WorkForce team to obtain a training-related placement).  Your active participation with our Workforce Team in the search for your practicum placement will enhance your career development skills, industry networking opportunities, and professional communication skills.

Why study Data Analyst at Robertson?

The Data Analyst is a rewarding role that’s increasing in demand due to the pandemic and the need for technology. Robertson graduates will enter the industry with a competitive edge as the role becomes more defined and known across organizations. The program is also a great opportunity for those currently working in tech to shift to a more specialized role, allowing them to leverage their previous knowledge and experience.

Our small class sizes create the perfect environment for students to get hands-on instruction and one-on-one time to connect with peers and instructors.

Let's Get Started

Fill out the form below to receive the Robertson Information Guide and hear from one of our Student Admissions Advisors.

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1 (204) 943-5661
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Program Availability

This program is delivered through our Winnipeg campus, and is also available via Robertson Online.

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Winnipeg

Want a $1,500 study credit?

Enrol before January 10 to receive a $1,500 study credit for the program of your choice.