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
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.
*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
$21,850: 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.
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:
- Undergraduate degree in Computer Science or Computer Engineering Degree within last five years
- Must include courses in Python and SQL
OR
- Undergradute degree in Business, Engineering, Mathematics, Statistics, Physics or related degree AND minimum 1 year of work experience within the last five years using Python and SQL. Additional work experience in Java and XML is preferred.
- Undergraduate degree in Computer Science or Computer Engineering Degree within last five years
- 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: minimum 120 |
|
IELTS Academic |
6.5 |
|
TOEFL iBT or TOEFL MyBestScore |
86 |
|
Heartland International English School |
80% |
|
International Language Academy of Canada |
3.4 |
|
UWinnipeg ELP |
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
Student Life
Find more information on student life at PACE here.
Career Opportunities
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
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Artificial Intelligence Industry Memberships
Admittance into the program includes student membership to the following: