Artificial Intelligence Diploma

Programs Page

Be on the cutting edge of innovation with a diploma in AI and machine learning. Artificial intelligence and machine learning is a branch of data science growing at full speed. We see the application of artificial intelligence in our daily lives, from checking the weather forecast to social media feeds, from banking and finance to healthcare, amongst others.

In this program, graduates master the skills to create and use problem-solving algorithms to provide insights, predictions, and operationalization strategies needed to transform any organization into an innovative, efficient, and sustainable company of the future.

This program starts in January 2020.

International

In-Class

_{Mon, 01/16/2023} Fact Sheet International Students

Next Start Dates

Monday, January 16, 2023

Application Deadlines

When Should I Apply?

Applications open one year before each 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

September 15 (January start date)

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

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

Tuition & Fees

$21,815: 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 regarding tuition, fees, and payment options, click here.

Duration

12 months in duration, Mon-Fri, days and hours vary and classes may be scheduled during the day time or evenings from 9AM to 9PM.

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

Objectives & Outcomes

The use of artificial intelligence is common place on devices ranging from personal smartphones to large industrial equipment. From simple algorithms to complex decision making, this program ensures that graduates have a firm, applied knowledge of artificial intelligence and machine learning. While the curriculum and learning outcomes include establishing a general understanding of the theories underlying AI, greater emphasis is placed on the application of these techniques in a practical setting.

Successful graduates of this program shall be able to:

Design and implement data acquisition, management, and cleansing solutions to support data science applications;
Use statistical techniques in the development of data science applications;
Describe legal, ethical, and societal considerations arising from the application of data science and artificial intelligence;
Identify suitable applications and recommend the use of AI within an organization;
Design the overall solution architecture required to support AI; and
Design, test, and implement applied AI solutions.

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.
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.
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. Programming knowledge is strongly recommended.

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

Work Experience

Artificial Intelligence 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:

Duolingo English Test with a minimum test score of 120, with at least a Production score of 100
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.