12 months
Duration
21815 CAD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Be on the cutting edge of innovation with a diploma in AI and machine learning. In this Artificial Intelligence program at University of Winnipeg, 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.  

Visit the official programme website for more information

Overview

The use of artificial intelligence is commonplace 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.

Outcomes of the Artificial Intelligence program at University of Winnipeg

  • 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.

Career Opportunities 

  • Data Scientist
  • AI Programmer/Specialist/Engineer
  • Machine Learning Engineer/Specialist
  • Machine Learning and AI Developer
  • AI/ML Researcher
  • AI/ML Data Architect
  • Deep Learning Engineer

Accreditation

Upon completion of this program, students earn the Artificial Intelligence Diploma

Programme Structure

Courses include:

  • AI & Machine Learning Theory & Practice

  • Applied Statistics for Data Science

  • Big Data Platforms

  • Data Acquisition & Management 

  • Database & Programming Essentials

  • Data Visualization for Analytics  

  • Effective Oral Communication

  • Effective Written Communication

  • Foundations of Data Science 

  • Indigenous Insights

  • Project in AI & Machine Learning

  • Project Management Fundamentals

  • Resume Building & Job Search Techniques

  • Topics in Data Science

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Required

Other requirements

General requirements

  • Students applying to The University of Winnipeg PACE during the COVID-19 pandemic, may use the Duolingo English Test with a minimum score of 120 with a minimum Production score of 100.
  • International students are required to hold a minimum of an undergraduate degree in Business, Computer Science, Engineering, Mathematics, Statistics, or Physics
    • Advanced programming knowledge is strongly recommended.
  • The Cumulative GPA, or Final Percentage, on these transcripts will be assessed for eligibility. 
In cases where the number of applicants exceeds the available spaces, applicants will be assessed on the following criteria: the amount of, and type of, work experience; academic grades; and proficiency in English.

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.

Technological requirements

Advanced programming knowledge is strongly recommended.

Tuition Fee

To alway see correct tuition fees
  • International

    21815 CAD/year
    Tuition Fee
    Based on the tuition of 21815 CAD per year during 12 months.

Living costs for Winnipeg

1056 - 1650 CAD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Students attending programs at PACE are eligible for many funding possibilities such as bursaries, scholarships, government student aid, lines of credit, and sponsorship.

Financial Aid is administered by the Awards & Financial Aid Office, which supports the access and excellence mandate of The University of Winnipeg through a comprehensive program of scholarships, awards, prizes and bursaries.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Artificial Intelligence
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University of Winnipeg

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