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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.

This program starts in January 2022.

Domestic
In-Class
Mon, 01/17/2022 Fact SheetInternational Students

Next Start Dates

Monday, January 17, 2022

Duration

12 months in duration, Mon-Fri, hours may vary.

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

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.

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

Analytics & Business 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. 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

AI & Machine Learning Theory & Practice

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  • Read more about AI & Machine Learning Theory & Practice

Applied Statistics for Data Science

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  • Read more about Applied Statistics for Data Science

Big Data Platforms

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  • Read more about Big Data Platforms

Data Acquisition & Management

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  • Read more about Data Acquisition & Management

Database & Programming Essentials

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  • Read more about Database & Programming Essentials

Effective Oral Communication

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  • Read more about Effective Oral Communication

Effective Written Communication

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  • Read more about Effective Written Communication

Foundations of Data Science

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  • Read more about Foundations of Data Science

Indigenous Insights

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  • Read more about Indigenous Insights

Introduction to Machine Learning

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  • Read more about Introduction to Machine Learning

Project in AI & Machine Learning

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  • Read more about Project in AI & Machine Learning

Project Management Fundamentals

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  • Read more about Project Management Fundamentals

Resume Building & Job Search Techniques

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  • Read more about Resume Building & Job Search Techniques

Topics in Data Science

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  • 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

FAQ

Find answers to students’ most frequently asked questions here.

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

Laptop Requirements

  • Operating Systems: 64-bit versions of Microsoft Windows 10
  • CPU: Meets or exceeds Microsoft requirements for Windows 10 (1 Ghz CPU)
  • Free disk space: 10gb+ recommended
  • RAM: 8+ GB recommended

Additional Comments

Artificial Intelligence Industry Memberships

Admittance into the program includes student membership to the following:

  • Canadian Artificial Intelligence Associations
  • Tech Manitoba

Quick Links

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