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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.
Domestic
In-Class
Next Start Dates
Monday, January 15, 2024
Tuition & Fees
$15,100: 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
a. Undergraduate degree or college diploma in Business, Computer Science, Engineering, Mathematics, Statistics, or Physics
or
b. 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.
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. This must include a minimum of one year of experience within the last five years using Python and SQL.
Additional work experience in Java and XML is preferred.
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. Download the UWPACE English Language Requirements (PDF) for additional English proficiency tests and programs and waiver options for the English language requirement.
International Students
Please visit our detailed Admission Requirements for international students.
The University reserves the right to request English language proficiency testing result documentation for any international applicant.
Courses & Descriptions
Student Life
Find more information on student life at PACE here.
Career Opportunities
Certifications
Upon completion of this program students will earn the Artifical Intelligence Diploma.
The Artificial Intelligence Diploma prepares students to seek 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
Student Success Story
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Artificial Intelligence Industry Memberships
Admittance into the program includes student membership to the following: