Postgraduate Diploma in Predictive Analytics

The University Of Winnipeg - Professional, Applied And Continuing Education (PACE)

Canada,Manitoba

 3 Shortlist

12 Months

Duration

CAD 19,850/year

Tuition Fee

CAD 150

Application Fee

Sep 2025

Apply Date

Canada, Manitoba

Type: University

Location Type: Urban

Founded: 1972

Total Students: 9,684 +

Int. Students: 1,250 +

Campus Detail

Main Campus Address

460 Portage Ave, Winnipeg, MB R3C 0E8, Canada

Postgraduate Diploma in Predictive Analytics

Program Overview

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. +

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.