Canada
The Non-degree in Artificial Intelligence and Data Analytics Certificate at Saskatchewan Polytechnic, Regina is a program for international students taught in English.
Saskatchewan Polytechnic, Regina, is a hands-on institution known for industry-focused technical and vocational education. Established roots and modern facilities support a practical approach to learning that prepares students for direct entry into the workforce. The Regina campus offers applied programs designed to meet regional and national labour needs, with a student body that includes a significant international presence and a commitment to experiential learning.
Programs cover a broad range of trades, health technologies, business and engineering technologies, with 27 distinct options that emphasize applied skills, labs and work placements. Strong partnerships with local employers shape curricula and create practicum and co-op opportunities, allowing students to build professional networks and accumulate workplace experience before graduation. Faculty with industry backgrounds provide mentorship and skill-focused instruction aligned with employer expectations.
Campus services support both domestic and international students through advising, skills development and career-centred workshops, helping graduates navigate job search and credential recognition. The college’s practical training model, combined with vibrant community ties in Regina, makes it a pragmatic choice for students seeking applied learning and clear pathways into employment across Saskatchewan and beyond.
The Artificial Intelligence and Data Analytics Certificate program is for graduates with degrees in information and communications technology. This non-degree program takes a year to complete and prepares students for careers in data analysis and machine learning. Students learn to analyze large amounts of data and detect patterns to make future trend predictions.
The program curriculum includes machine learning and data analysis. Students learn to work with large amounts of data from multiple sources and make predictions about future trends. They develop skills in predictive analytics and learn to make decisions about production, marketing, and development.
Graduates can work as data analysts, business intelligence developers, predictive modeling analysts, or machine learning engineers. They can find jobs in business and industry, where they can help companies make informed decisions. With their skills and knowledge, they can drive business success and innovation.
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Tuition
13,511 USD per year
Application Fee
160 USD
Service Fee
8,427 USD
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