Next information session
All classes in this program will be delivered online for the Fall 2020 term due to the COVID-19 pandemic and associated health and safety guidelines.
Overview
Gain the skills and knowledge to take your career to the next level with data analytics. Become a valued member of any business by using data to align the business decision-making process with storytelling and insight.
The Data Analytics post-diploma certificate program will focus on predictive analytics, which uses statistical models and forecasting to understand possible future scenarios, as well as prescriptive analytics, which uses optimization and simulation to produce recommendations on possible outcomes.
Courses in the program address the methods used to organize and analyze structured and unstructured (big data) sets to facilitate informed decision making.
Graduates will possess the knowledge, skills, and aptitude to apply fundamental principles of data analytics. They will learn to align data into the business decision-making process, creating accurate and meaningful storytelling with actionable insights. They will accomplish this using a foundation of data management and ethics.
Is this the right fit for me?
This is an intensive program requiring a commitment of both time and energy. Students who experience success are those who make their education a priority throughout the program.
We find there is a direct correlation between the time and energy invested to the amount of success achieved.
Learners with strong time-management and discipline have a greater propensity to succeed. Remaining focused and diligent with coursework is important for success in completing the program.
Credentials
Upon successful completion of this program, graduates will receive a SAIT Data Analytics post-diploma certificate.
Career opportunities
Graduates can pursue job opportunities as a(n):
- business analyst
- data analytics analyst
- data analytics specialist
- data and reporting analyst
- data steward
- business intelligence analyst
Related careers include:
- statistician
- webmaster
Tuition and fees per year*
Year 1: $14,062
Year 1 (International): $17,132
*Tuition, fees, books and supply costs are subject to change.
Requirements
This is a direct entry program. Applicants who meet the admission requirements are offered spots based on first qualified, first acceptance if space is available.
When can you apply?
- Applications for Spring 2020 opened Dec. 13, 2019 until the program start date.
| Term | Program start |
|---|---|
| Spring 2020 | May 4, 2020 |
Doubling down on data
It’s no coincidence that some of the world’s largest companies have one thing in common: an abundance of data. Their ability to process, interpret and apply it to the world of artificial intelligence (AI) and Internet of Things (IoT) has catapulted big tech companies like Facebook, Amazon, Apple, Netflix and Google to market dominance.
Admission requirements
Applicants must meet one of the following (or equivalent), as well as the English Proficiency requirement*:
- Post-secondary degree or diploma from a recognized university, institute or college.
- A combination of education and experience will be considered, upon approval from the Academic Chair.
* All applicants must demonstrate English language proficiency prior to admission, including students educated in Canada.
Ideal candidate
The ideal candidate for the Data Analytics post-diploma certificate has a previous post-secondary diploma or degree. Education in business, economics, finance, etc. would be ideal.
You have a strong math background and foundational education in statistics. You have worked with data and are intrigued by the power of data and how it can be analyzed to support good business decision-making.
Previous experience working with databases is an asset.
Courses
Program outline
The courses listed are not shown in instructional order. Due to the nature of the fast-track programs some course may be modified or replaced.
Looking for course descriptions and requisites? Visit the course catalogue
| Course code | Course name | Credit |
|---|---|---|
| DATA 401 | Data Literacy | 3.0 |
| DATA 410 | Business Context for Data Analytics | 3.0 |
| DATA 415 | Statistical Analysis of Data | 3.0 |
| DATA 420 | Predictive Analytics | 3.0 |
| DATA 445 | Business Analytics with Excel | 3.0 |
| DATA 460 | Business Intelligence Reporting | 3.0 |
| DATA 475 | Advanced Concepts in Data Analytics | 3.0 |
| PROJ 406 | Data Analytics Capstone Project | 3.0 |
| Total Program Credits | 24.0 | |
Progression
Students must attain a PGPA and/or a CGPA of 2.0 or better in each semester and pass the necessary prerequisite courses to progress through the program. To qualify for graduation, students must pass all courses, attain a CGPA of 2.0 or better and complete course requirements within the prescribed timelines.
Costs
Domestic tuition and fees*
| Year | Tuition fees | SAIT fees | SAITSA fees | Health & Dental Plan | 2019/20 total |
|---|---|---|---|---|---|
| 1 | $12,840 | $462 | $288 | $235 | $14,062 |
International tuition and fees*
| Year | Tuition fees | SAIT fees | SAITSA fees | Health & Dental Plan | 2019/20 total |
|---|---|---|---|---|---|
| 1 | $15,819 | $462 | $288 | $460 | $17,249 |
SAIT Fees
Campus Athletic and Recreation Fee: $160
Universal Transit Pass (UPass): $302 - Check eligibility here.
Health and Dental Fees
Domestic Students
- Health Plan: $110
- Dental Plan: $125
- For students with existing health and/or dental plans, please refer to the SAITSA website for information on opting out and adding dependants.
Books and supplies*
- Books and supplies are approximately $1,000 - $1,500 per full-time year.
Find out about tuition and financial aid.
*Tuition, fees, books and supply costs are subject to change.
Next steps for incoming students
Have you been accepted to this program? Here's what you'll need for your first day of classes.
Important dates and deadlines
Find important dates applicable to all students, including your transcript and tuition payment deadlines on our Important Dates page.
Student Guidelines
Review the student guidelines to learn about the School of Information and Communications Technologies' expectations before you start your studies.
Computers and laptops
This is a bring your own device program with a power-user hardware and software requirement. See the specific requirements on our computers and laptops page.
Preparation courses
To support your success, SAIT offers some short courses before classes start, including PREP 100: The SAIT Experience and ETHI 110: SAIT Ethical Practices.
Required textbooks
The booklist will be available about two weeks before classes start.
Can’t find your program or course? The bookstore didn't receive a textbook list. Contact your program directly to determine if they’re still refining course details or if you're in luck, no textbook purchase required this term.
Contact
School of Information and Communications Technologies
403.284.8543
ict.info@sait.ca