
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
Get more details
Visit official programme websiteProgramme 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
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
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Language
Delivered
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 36 other Masters in Data Science & Big Data in CanadaExplore more key information
Visit official programme websiteAcademic requirements
English requirements
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.
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.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
21850 CAD/yearTuition FeeBased on the tuition of 21850 CAD per year during 12 months. -
National
15100 CAD/yearTuition FeeBased on the tuition of 15100 CAD per year during 12 months.
Living costs for Winnipeg
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.