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New for 2019 Data Analytics

Open for Fall 2020

Open for Winter 2020

Credential: Post-Diploma Certificate
Available: Part Time Classroom or Online

Program Highlights

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.

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Get started as an undeclared student

The courses in the Data Analytics program allow for registration into individual courses without going through the SAIT application process first.

Bring your own device

The Data Analytics program was developed to meet the needs of working professionals who want to specialize in this exciting field. As the program is being offered via part-time and distance delivery, it is expected that students will provide their own laptop.

Classes will be scheduled into e-learning labs with power outlets Wi-fi access is available to connect to the network and internet. Laptop specs should meet the following minimum requirements: i5 or i7 processor, 16 GB RAM, 500 GB storage. It may be necessary to subscribe to some specialized software for certain courses.

Learn more about our Bring Your Own Device (BYOD) programs.

Program Details

Program description

Graduates of the Data Analytics post-diploma certificate will develop the knowledge, skills and aptitude to apply fundamental principles of data analytics. Learners will align data with business decision-making processes, creating accurate and meaningful storytelling with actionable insights.

Courses in the program address the methods used to organize and analyze structured and unstructured (big data) sets to facilitate informed decision making.

The 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.

Your career

Graduates of this program will be able to: 

  • Manipulate data using data science, modelling, ethics and ETL in a business context that is relevant to decision-making.
  • Contextualize data in a format that maps to business processes, objectives and aligns data analysis to strategic outcomes. 
  • Build presentations that communicate data analysis effectively and accurately for a business audience using visualizations (dashboards) and storytelling. 
  • Perform statistical and algorithmic analyses on cloud-based and on-premise data sets using a variety of tools and techniques.
  • Explain the use of machine learning and artificial intelligence as it relates to data analysis. 
  • Use industry recognized programs and tools to extract meaning from data. 
  • Demonstrate core strategic, tactical and operational business processes which are driven by data for evidence-based decision making. 
  • Apply fundamental data analytics principles, aligning data and business processes to create accurate, actionable insights.

Possible job opportunities for graduates include business analyst, data analytics analyst, data analytics specialist, data and reporting analyst, data steward and business intelligence analyst. 

Student success 

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 and accreditations

Upon successful completion of this program, graduates will receive a SAIT Data Analytics post-diploma certificate.

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.

Applications

Winter 2020 - opened May 1, 2019

Fall 2020 - open Oct. 2, 2019

Applications are open until the end of the term.

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.

Get started as an undeclared student

The courses in the Data Analytics program allow for registration into individual courses without going through the SAIT application process. It is important you read the ideal candidate statement above to be sure you are a good fit for these courses.

You may apply to complete the credential at any time through Apply Alberta at which time you will have to submit transcripts for entrance into the credential. You must apply for prior learning assessment if you wish to get credit for a required course based on previous education or experience.

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.
  • To see course availability, schedules and to register, follow the course links below. 

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

Costs

Domestic tuition and fees*

Year Tuition fees SAIT fees SAITSA fees 2019/20 total
1 $9,600 $462 $523 $10,585

International tuition and fees*

Year Tuition fees SAIT fees SAITSA fees 2019/20 total
1 $21,068 $462 $523 22,053

SAIT fees

Campus Athletic and Recreation Fee: $160
Universal Transit Pass (UPass): $302

SAIT Students' Association fees

Health Plan: $110**
Dental Plan: $125**
SAIT Students' Association (SAITSA): $288

Books and supplies*

  • Books and supplies are approximately $3,000.
  • A $400 security deposit to use a SAIT issued laptop.

Find out about tuition and financial aid.

* Tuition, fees, books and supply costs are subject to change.
** For students with existing health and/or dental plans, please refer to the SAITSA website for information on opting out.

Contact 

School of Information and Communications Technologies
403.284.8543
ict.info@sait.ca

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