Artificial Intelligence and Data Analytics
| Program start date | Application deadline |
| 2024-09-01 | - |
| 2024-01-01 | - |
Program Overview
The Post-Graduate Certificate in Artificial Intelligence and Data Analytics (AI&DA) equips internationally-educated graduates with the skills and knowledge to analyze large datasets, develop expertise in Python, understand the ethical implications of AI, and prepare for careers in data analysis and machine learning. The program consists of 32 weeks of intensive study, covering topics such as business mathematics, data engineering, programming for data science, machine learning, and artificial intelligence for management. Graduates are prepared for entry-level positions in data analysis, data science, and machine learning.
Program Outline
Degree Overview:
Overview:
The Post-Graduate Certificate in Artificial Intelligence and Data Analytics (AI&DA) prepares internationally-educated graduates with degrees in Information and Communications Technology for careers in data analysis and machine learning.
Objectives:
- Equip graduates with the skills and knowledge to analyze large datasets and extract meaningful insights.
- Develop expertise in Python, a popular data science language.
- Understand the ethical implications of AI and data analysis.
- Prepare graduates for careers in a variety of industries, including business, government, and research.
Description:
The AI&DA program consists of 32 weeks of intensive study, covering topics such as:
- Business mathematics and data analytics
- Data engineering
- Programming for data science
- Web analytics and business intelligence tools
- Enterprise data architecture
- Introduction to artificial intelligence
- Machine learning
- Artificial intelligence for management and ethical issues
- Indigenous Studies
- Capstone project The program focuses on hands-on learning, with students working on real-world projects throughout the course. Graduates will be prepared for entry-level positions in data analysis, data science, and machine learning.
Outline:
Semester 1:
- ANLT-600 Business Mathematics and Data Analytics (3 credits): Estimating costs and benefits for process change, querying from existing data sources, outlining assumptions, developing cost benefits models, analyzing outcomes, separating assumptions from the model, developing flexible formulae.
- COMP-603 Programming for Data Science (3 credits): Python programming, data structures, visualization of real data, Boolean logic, control flow, loops, GIT usage.
- COMP-604 Web Analytics and Business Intelligence Tools (3 credits): Importance of business intelligence, reporting information effectively, modern BI tools.
- COMP-606 Machine Learning (3 credits): Applying algorithms, building and evaluating predictive models, tuning models, pre-processing data.
- INDG-600 Indigenous Studies (1 credit): Blanket Exercise, history of relationships between European settlers and Indigenous peoples, 94 Calls to Action of the Truth and Reconciliation Commission.
- PROJ-613 Capstone Project (3 credits): Planning and executing a major AI&DA project, group work, project management and monitoring, stakeholder communication.
Assessment:
Assessment methods include:
- Assignments and projects
- Quizzes and exams
- Presentations
- Capstone project Grading criteria vary depending on the specific assessment method.
Teaching:
The program is taught by experienced faculty with expertise in data analysis, machine learning, and artificial intelligence. The teaching methods are varied and include:
- Lectures
- Tutorials
- Labs
- Group work
- Online learning The program also offers unique learning opportunities such as:
- Guest lectures from industry experts
- Access to industry-standard software
- Opportunities to participate in research projects
Careers:
Graduates of the AI&DA program are prepared for a variety of careers in data analysis, data science, and machine learning. Some potential career paths include:
- Data analyst
- Data scientist
- Machine learning engineer
- AI specialist
- Business intelligence analyst
- Market research analyst The program also prepares graduates for further study in related fields, such as computer science or data analytics.
Other:
- The program is offered on a full-time basis.
- The program is offered at both the Regina and Saskatoon campuses.
- The program is open to international students.
Saskatchewan Polytechnic
Overview:
Saskatchewan Polytechnic is a publicly funded post-secondary institution offering a wide range of programs and services to students in Saskatchewan. It provides practical, hands-on education and training to prepare students for successful careers in various industries.
Services Offered:
Saskatchewan Polytechnic offers a variety of services to students, including:
Academic & Learning Services:
Accessibility services, counselling services, learning services, library services, orientation, transcript request, and student ID.Campus Services:
Child care, housing, lockers, parking & transit, campus store, community safety, food & dining, printing, and test centres.Health & Wellness:
Fitness & recreation, health & wellness services, salon & spa, and dental clinic.Students' Association:
Provides student representation, advocacy, and social activities.Career Services:
Career counselling, student employment services, and career fairs.Indigenous Services:
Offers support and resources for Indigenous students.Technology Services:
Provides access to technology and support for students.Graduation & Convocation:
Celebrates student achievements and graduation ceremonies.Key Reasons to Study There:
Practical, Hands-on Education:
Saskatchewan Polytechnic focuses on providing practical, hands-on training that prepares students for real-world careers.Industry-Relevant Programs:
The institution offers programs that are aligned with the needs of Saskatchewan's industries, ensuring graduates are equipped with the skills employers seek.Experienced Faculty:
Saskatchewan Polytechnic boasts experienced faculty who bring real-world knowledge and expertise to the classroom.Strong Industry Partnerships:
The institution has strong partnerships with various industries, providing students with opportunities for internships, co-op placements, and networking.New Saskatoon Campus:
Saskatchewan Polytechnic is currently developing a new, modern campus in Saskatoon, offering state-of-the-art facilities and technology-rich learning environments.Academic Programs:
Saskatchewan Polytechnic offers a wide range of programs across various disciplines, including:
Agriculture, Natural Resources and Sustainability
Business and Entrepreneurship
Computing and Digital Innovation
Construction
Creative Media, Arts and Sciences
Education and Community Services
Health Sciences
Hospitality, Tourism and Applied Aesthetics
Mining, Manufacturing and Engineering Technologies
Nursing
Transportation
Other:
Saskatchewan Polytechnic also offers a variety of continuing education courses, part-time studies, and micro-credentials to help individuals enhance their skills and knowledge. The institution is committed to applied research and innovation, working with industry partners to develop solutions to real-world challenges.
Entry Requirements:
This means that applicants must have already completed a bachelor's degree program in any field of study, from any accredited institution. The minimum GPA requirement is 60%, which translates to a "C" average in most grading systems. This is likely to involve submitting scores from an English language proficiency test such as TOEFL or IELTS.
