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Data Analytics

Open for Fall 2020

Closed for Winter 2020

Length: 1 year
Credential: Post-Diploma Certificate
Available: Part Time Classroom

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.

This program is also available through fast-track. 

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Tuition and fees per year*

Year 1: $12,985

Year 1 (International): $18,985

*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 fall 2020 open Oct. 2, 2019 until the program start date.
  • Applications for winter 2020 open May 1, 2019 until the program start date.
Term Program start
Fall 2020 Sept. 8, 2020
Winter 2020 Jan. 6, 2020 

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:

  • Intel I5 or AMD A8 processor
  • 16GB RAM
  • 512GB solid state drive
  • Ethernet port or adapter
  • 802.11 wifi
  • Windows 10, North American or English version
  • Up-to-date antivirus and malware protection software

It may be necessary to subscribe to some specialized software for certain courses.

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

Fall 2020: Applications open on Oct. 2, 2019 and are accepted until the program start date. 

Winter 2020: Applications open on May 1, 2019 and are accepted until the program start date. 

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

Courses may be scheduled between 8:00 am — 9:00 pm

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 Health & Dental Plan 2019/20 total
1 $12,000 $462 $288 $235 $12,985

International tuition and fees*

Year Tuition fees SAIT fees SAITSA fees Health & Dental Plan 2019/20 total
1 $18,000 $462 $288 $460 $18,985

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.

  • Bring Your Own Device program approx. $1,000 - $1,500 for a laptop that meets the minimum BYOD requirements: 

    • Intel I5 or AMD A8 processor
    • 16GB RAM
    • 512GB solid state drive
    • Ethernet port or adapter
    • 802.11 wifi
    • Windows 10, North American or English version
    • Up-to-date antivirus and malware protection software

Find out about tuition and financial aid.

*Tuition, fees, books and supply costs are subject to change.

Contact 

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

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