Predictive Analytics Diploma

Programs Page

Stay ahead of the competition with this cutting-edge applied program focused on harnessing big data for smart business decisions that optimize competitive and social benefits within an organization. Graduates of this program master a range of analytical models to become strategic leaders in any industry.

International

In-Class

_{Mon, 05/17/2021} Fact Sheet Domestic Students

Next Start Dates

Monday, May 17, 2021

Duration

12 months in duration, Mon-Fri, hours may vary.

Two breaks of one week throughout the program and two weeks off for winter break.

Tuition & Fees

$21,915: Tuition cost includes the $100.00 UWSA Fee. Costs are tentative.

$1,00-$1,500: Textbook costs may vary depending on new, rental, used, or electronic purchasing choices. Textbooks are a requirement.

For more information reguarding tuition, fees, and payment options, click here.

Objectives & Outcomes

The use of large volumes of data to forecast and predict human behaviour, business, and socio-economic outcomes has accelerated rapidly in recent years. This program builds foundational skills in data science with a specialization on the use of predictive models to forecast outcomes. Students will learn to apply data science and predictive modelling to provide insights, predictions, and operationalize the use of data for competitive and social benefits within an organization.

Successful graduates of this program shall be able to:

Design and implement data acquisition, management, and cleansing solutions to support data science applications;
Use effective visualizations to communicate patterns, trends, and other findings stemming from the analysis of data;
Use statistical techniques in the development of data science applications;
Describe legal, ethical, and societal considerations arising from the application of data science and predictive analytics;
Identify suitable applications and recommend the use of predictive analytical models in a business context;
Design the overall solution architecture required to support predictive modeling applications; and
Design, test, and implement predictive analytical models.

Admission Requirements

Academic Requirements

Undergraduate Degree	Minimum Grade
Minimum (Business, Computer Science, Engineering, Mathematics, Statistics, or Physics) Advanced programming knowledge is strongly recommended.	60%

If a higher degree is attained (post-graduate diploma, Master’s, or PhD) the minimum GPA or Percentage must be attained in all degrees.

In lieu of a degree/diploma; significant work experience involving analysis of data in an organizational or applied research context may be considered on an exceptional basis. Advanced knowledge of programming is required.

Work Experience

Predictive Analytics Diploma applicants must have a minimum of two years of professional work experience in applied computer science, applied statistics, engineering, or a business role involving the use/analysis of data.

English Language Requirements

Applicants whose previous education was completed outside of Canada and where English may or may not have been the medium of instruction, must submit proof of meeting one of the accepted English language proficiency measures.

Test	Score
IELTS Academic	6.5
TOEFL (internet-based)	86
Heartland International English School	80%
International Language Academy of Canada	3.3
UWinnipeg ELP	B

The University reserves the right to request English language proficiency testing result documentation for any international applicant.

Download the UWPACE English Language Requirements (PDF) for additional English proficiency tests and programs and waiver options for the English language requirement.