Explore This Program
Program Overview
The Data Analyst program at Robertson prepares students for positions as data analyst in the public and private sector. Students will learn how to design databases and develop and administer data management solutions across a broad range of private and public sectors. They will learn how to compile and merge data, clean data and use a variety of tools and software to extract information from datasets.
Students will develop the skills required to report data findings through data visualizations, reports, dashboards, scorecards, and a variety of other methods. Students will also learn fundamental project management skills to oversee and manage the challenging and often complex data needs of an organization.
Program Delivery
International Learning
- This program is delivered through one of our campuses, central to everything you need.
- Study and collaborate with your peers on campus, with instructor support along the way.
- Get additional support from the International Student Services Team during your at Robertson
For more information on how to apply, please reach out to our admission advisors or Contact Us today!
Program Details
Quick Facts
Duration:
11 Months
Schedule:
5 Days a Week
Admission Requirements
- Completion of two year diploma or university degree
- English Language Requirement – one of the following:
- IELTS 6.0 Academic, no subscore below 5.5
- TOEFL (IBT) 60; no skill score below 7 Listening; 16 Speaking; 8 Reading; 18 Writing
- CanTest 4.0, no skills score below 4.0
- PTE Academic 50
- CAEL 50
For more information on ELP requirements for all of our ACC partnership programs, please visit the link here.
Approximate tuition fees for this program is between $22,000 to $28,000
Please click here for detailed information about tuition payment and policies
Practical Applied Culture and Employment (PACE) is a co-requisite for the program. This course can be completed online in conjunction with your studies at Robertson.
Exceptions may be considered. Please contact our International Admissions team for more information regarding admission requirements.
If you don’t meet the language requirements, please contact us for more information on our Intensive Academic English pathway program designed to help students reach the English proficiency necessary to apply to the Advanced Diploma programs.
Contact AdmissionsAccreditation
Career Opportunities
Graduates of the program will have the skills and knowledge to work as a Data Analyst and may be able to find rewarding employment in businesses of all sizes, across a variety of sector both public and private. Other professions include:
- Data Administrator
- Database Clerk
- Innovation Specialist
- Data Analyst
- Data Custodian
- System Analyst
- Business Analyst
As a Robertson student or graduate, you will have access to lifetime employment services and job search assistance through our Robertson Workforce team.
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.
Upon graduation, you will be eligible to apply for a Post Graduation Work Permit (PGWP) which will allow you to work anywhere in Manitoba. Our Career Services team can help and advise you of your options.
As a graduate, if you choose to stay in Canada, you will 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
In person at our campus in Winnipeg
New start dates are being released all the time. Contact us for more dates.
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.
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 language 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.
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 Length: 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.
Why Choose a Robertson - Assiniboine Community College Affiliated Program
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This is an Assiniboine Community College program delivered on-campus at Robertson’s campus in Winnipeg. Assiniboine ensures the ongoing quality of the program and conducts all admission and enrollment into the program. |
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This program follows the ACC Academic Policies. All credentials and transcripts for this program will also be issued by ACC. For day-to-day inquiries and assistance, students enrolled in this program may contact Robertson as their first point of contact.
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Program Availability
This program is neither available on campus or via Robertson Online.