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, 09/12/2022} Fact Sheet Domestic Students

Next Start Dates

Monday, September 12, 2022

Application Deadlines

When Should I Apply?

Applications open one year before the next program start date.

We strongly advise applicants to apply early as space is limited and demand for full-time programs is extremely high.

Key Application Deadline

May 15

NOTE: This program may reach capacity prior to application deadline.

*Note if you do not see the program listed for the intake you are interested in on the online application portal, we have reached capacity and are no longer accepting applications.

Tuition & Fees

$21,875: Tuition cost includes the $100.00 UWSA Fee. Costs are tentative.

$1,000-$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.

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.

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 can:

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

International students are required to hold a minimum of an undergraduate degree in Business, Computer Science, Engineering, Mathematics, Statistics, or Physics
- A Higher National Diploma from Nigeria and Ghana are exceptions
- Advanced programming knowledge is strongly recommended.
In lieu of an undergraduate degree in the above fields, a combination of a bachelor degree AND work experience involving analysis of data in an organizational or applied research context may be considered on an exceptional basis.
- Advanced programming knowledge is strongly recommended.
The Cumulative Grade Point Average (GPA) or Final Percentage on these transcripts will be assessed for eligibility.
- If a higher degree is attained (post-graduate diploma, Master’s, or PhD) the minimum GPA or percentage must be attained in all degrees.

For complete admission details by country, please visit our detailed Admission Requirements for international students.

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
Duolingo	Overall score: miniumum 120 Production score: minimum 100
IELTS Academic	6.5
TOEFL (internet-based) or TOEFL MyBestScore	86 20 on each component
Heartland International English School Advanced 3, Level 6	80%
International Language Academy of Canada English Language Pathway Program	3.3
UWinnipeg ELP Academic Level 5	B

Students applying to The University of Winnipeg PACE during the COVID-19 crisis, may use the following online testing options to meet their English language requirements for applications to our 2021 & 2022 programs:

IELTS Indicator with a minimum overall academic band score of 6.5 and a minimum score of 6.0 for the writing and reading categories
TOEFL iBT "Special Home Edition Test" with a minimum score of 86 with no less than 20 in each component (internet-based)

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.