Skip to main content

Search form

Main menu

  • UWinnipeg
  • PT Timetable
  • About Us
  • Contact Us
  • Student Logins
Menu

Secondary Menu

Home
  • Future Students
    • Admissions

      Admissions Menu

      • Admission Requirements
      • Apply Today
      • Tuition & Fees
      • Funding & Financial Aid
      • Internships
      • Student Life
      • FAQ
      • Pathways to UWinnipeg
      • Student Success Stories
      • PACE News

      Programs

      Programs for Domestic Students

      • Full Time
      • Part Time
      • Microcredentials

      Courses

      Courses

      • Part Time Timetable
      • Register for Courses
  • Current Students
    • Part Time

      Part Time

      • Part Time Students Home
      • Part Time Timetable
      • Part Time Students Planning Tool
      • Register for Courses
      • Online Learning for Part Time Students

      All

      All

      • Transfer Credits
      • Student Resources
      • Forms
      • FAQ
      • Graduation Information
      • Student Life
      • PACE News

      Student Logins

      Student Logins

      • Nexus Login
      • WebAdvisor Login
      • Webmail Login
  • International Students
    • International Students

      International Students

      • Programs
      • Admission Requirements
      • Admission Process for Full Time Students
      • Tuition & Fees
      • Study In Canada
      • UWinnipeg English Language Pathways
      • International Student Success Stories
      • Transfer Credits
      • PACE News
      • Join Us for Live Webinar About Studying at PACE
  • About Pace
    • About Pace

      About PACE

      • About Us
      • Contact Us
      • Fact Sheets & Publications
      • Instructors
      • Teach at PACE
      • Policies
      • PACE News
Apply Today!

Artificial Intelligence Post-Degree 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.

International
In-Class
Mon, 01/15/2024 Fact SheetInternational Students

Next Start Dates

Monday, January 15, 2024

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.

Start Your Application Today

*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

      Learn more about International Students tuition & fees and payment options here.

      *Please note there is a fee increase scheduled for Artificial Intelligence. As of January 2024 fees for this program will be $21,850.

      Duration

      12 months in duration, Mon-Fri, days and hours vary and classes may be scheduled during the day time or evenings between 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

      We recommend applicants demonstrate 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
      6.0 in reading and writing categories

      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

      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.

      Courses & Descriptions

      AI & Machine Learning Theory & Practice

      - -
      • Read more about AI & Machine Learning Theory & Practice

      Applied Statistics for Data Science

      - -
      • Read more about Applied Statistics for Data Science

      Big Data Platforms

      - -
      • Read more about Big Data Platforms

      Data Acquisition & Management

      - -
      • Read more about Data Acquisition & Management

      Database & Programming Essentials

      - -
      • Read more about Database & Programming Essentials

      Effective Oral Communication

      - -
      • Read more about Effective Oral Communication

      Effective Written Communication

      - -
      • Read more about Effective Written Communication

      Foundations of Data Science

      - -
      • Read more about Foundations of Data Science

      Indigenous Insights

      - -
      • Read more about Indigenous Insights

      Introduction to Machine Learning

      - -
      • Read more about Introduction to Machine Learning

      Project in AI & Machine Learning

      - -
      • Read more about Project in AI & Machine Learning

      Project Management Fundamentals

      - -
      • Read more about Project Management Fundamentals

      Resume Building & Job Search Techniques

      - -
      • Read more about Resume Building & Job Search Techniques

      Topics in Data Science

      - -
      • Read more about Topics in Data Science

      Student Life

      Find more information on student life at PACE here.

      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

      Certifications

      Academic Credentials

      Upon successful completion of the full-time program, you will be eligible for the following academic credential:

      • Artifical Intelligence Post-Degree Diploma.

      Industry Credentials

      The Artificial Intelligence Post-Degree Diploma prepares students to seek additional certification as an Artificial Intelligence Engineer (AIETM) through ARTiBA, the Artificial Intelligence Board of America.

      For more information on obtaining the AIE Credential click here.

      Tech Requirements

      Students must have a laptop that meets the following requirements for their program (not included in tuition).

      Laptop Requirements

      PC hardware
      • CPU: Multicore Intel® or AMD processor (2 GHz or faster processor with SSE 4.2 or later) with 64-bit support.
      • RAM: 8GB of RAM (16GB recommended)
      • Graphics card: 2 GB of VRAM
      • Hard Disk space: 256GB (500GB recommended)
      • Operating system: Microsoft Windows 10 or 11  (64 bit) (versions Windows 10 versions  20H2, 21H1, 21H2, and Windows 11 version 21H2)
      Apple hardware
      • Processor: Multicore Intel® processor (2 GHz or faster processor with SSE 4.2 or later) with 64-bit support or Apple silicon/M1
      • Operating system: macOS 12.0 (Monterey), version 11 (big sur) and version 10.15 (Catalina)
      • RAM: 8GB (16GB recommended)
      • Hard disk space: 256GB (500GB SSD recommended)
      • Software to run Virtualization for Microsoft Windows
        • Parallels Desktop or VirtualBox

      Additional Comments

      Artificial Intelligence Industry Memberships

      Admittance into the program includes student membership to the following:

      • Canadian Artificial Intelligence Association
      • Tech Manitoba

      International Students

      • Programs
      • Admission Requirements
      • Admission Process for Full Time Students
      • Tuition & Fees
      • Study In Canada
      • UWinnipeg English Language Pathways
      • International Student Success Stories
      • Transfer Credits
      • PACE News
      • Join Us for Live Webinar About Studying at PACE

      Apply Today
      UWinnipeg PACE
      • UWinnipeg
      • About Us
      • Contact Us
      • About Pace
      • Webadvisor
      • Nexus Login
      • Webmail Login
      • Contact Webmaster
      COPYRIGHT © 2018 THE UNIVERSITY OF WINNIPEG - PROFESSIONAL, APPLIED AND CONTINUING EDUCATION
      Privacy PolicyEmergency Info

      Cookies

      By clicking "Accept" you allow cookies that improve your experience on our site, help us analyze site performance and usage, and enable us to show relevant marketing content.

      Accept