COVID-19 update: This course will start online and continue on campus later. Read more

What will I learn?

As Artificial Intelligence (AI) continues to rapidly transform the way organizations and their people work, a shortage of skilled professionals remains the single most significant challenge facing AI adoption by industry. With a focus on enterprise AI, including both off-the-shelf solutions and proprietary AI, this program – the first and only graduate certificate of its kind in Canada – will prepare you to meet this demand for AI-literate practitioners.

As a graduate, you will know how to leverage AI to extract data and use data-driven intelligence to guide decision-making, solving complex enterprise problems with state-of-the-art solutions, all while creating efficiency and quality gains for small and medium-sized enterprises up to the largest of corporations. Additional emphasis will be put on data governance, including data management to ensure its integrity.

Students will also benefit from multiple opportunities for experiential learning, including access to the college’s AI Hub, completion of two diverse capstone projects and an optional work term. Graduates will be prepared to enter this high-growth field, which currently sees the Greater Toronto Area home to the highest per-capita concentration of AI companies in the world.

Program Details

Graduates of the Artificial Intelligence Analysis, Design and Implementation program will enter the workforce with a specialized skill set that includes the ability to:

  • Analyze, design, and implement Artificial Intelligence (AI) systems through the application of systematic approaches and methodologies to meet organizational needs.
  • Develop AI models and agents that use enterprise data to identify patterns, provide insights, recommend actions or perform tasks autonomously on behalf of stakeholders.
  • Prepare and communicate analysis, reports and recommendations, in a variety of formats, for various audiences, stakeholders and purposes.
  • Conduct research, data analysis, model development and solution deployment in an ethical manner that protects privacy, confidentiality, addresses data bias and transparency and ensures data integrity.
  • Apply project management tools and lifecycle management strategies to implement AI systems on time and budget.
  • Implement AI solutions in compliance with corporate policies, ethical standards, and industry regulations.

The AI Hub

Students will also benefit from and contribute to the Durham College Hub for Applied Research in Artificial Intelligence for Business Solutions (the AI Hub), which offers industry partners access to technical expertise, state-of-the-art facilities and platforms, and student talent, to help uncover business insights while providing intelligent and autonomous solutions that increase their companies’ productivity and growth.

Career Options

  • Data analyst
  • AI analyst/technologist
  • Machine learning analyst/technologist
  • Business transformation consultant
  • Business analyst
  • Data steward
  • Data engineer
  • Machine Learning Practitioner/Engineer
  • AI system developer

WHERE YOU COULD WORK:

  • Technology companies
  • Start-up and early stage entrepreneurial companies
  • Financial services providers
  • Telecommunications companies
  • Manufacturing organizations

Which department am I in?

School of Business, IT and Management (BITM)

Study options

Full Time (2 semesters)

Tuition fees
CAD$13,404.00 (US$ 10,533) per year
Compulsory Ancillary: CAN $1,812
Start date

Expected January, September 2021

Venue

Durham College

Oshawa campus,

2000 Simcoe Street North,

OSHAWA,

Ontario (ON),

L1G 0C5, Canada

Entry requirements

For students from United States

Degree in psychology or social work or related discipline; overall grade point average (GPA) of 2.5 or 65 per cent average

For international students

  • Diploma or degree
  • A minimum of three years of related industry experience detailed in a professional resumé with a letter of intent may be considered

Note: A comfort in mathematics, statistics, computer software, computer programming, and enterprise systems is recommended.

English Language Requirement

  • Academic IELTS: 6.5, no band score less than 6.0
  • IBT TOEFL: 88, with minimum section scores of 22
  • PTE Academic: 60 minimum overall, no section below 57 L,W,S,R
  • CAEL: Overall score of 70, no section below 70
  • DET 110

RECOMMENDED

Strong communication skills, both written and verbal

*There may be different IELTS requirements depending on your chosen course.

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