Surrey · College diplomaApplied AI For Business Management

Learn to turn artificial intelligence into practical business value—across strategy, operations, marketing, sales, HR, accounting and project management.

Study in class, live online, or through combined synchronous delivery.

Applied AI For Business Management

The goal is not simply to use AI tools. It is to ask better questions, evaluate the results and put responsible solutions to work.
Cumberland College’s Applied AI Business Management Diploma develops the practical knowledge and judgment to use artificial intelligence across a modern organization.

You will explore generative AI, machine learning, large language models, prompt engineering, analytics, automation and agentic systems—then apply them to familiar business challenges. The curriculum connects technology with decision-making, communication, governance and change.

By the end of the program, you will be able to assess opportunities, design AI-supported workflows, interpret data, create business content, improve customer experiences and build responsible implementation plans.

Why choose this program Build AI capability across the business

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Career direction Support better ways of working

The program’s occupational alignment focuses on analyzing organizations, researching effectiveness and proposing improvements to methods, systems and procedures.

Potential career paths named in the program outline

Occupational alignment

NOC 11201

Professional occupations in business management consulting

The current National Occupational Classification includes many of the roles identified in the program outline and describes work that analyzes organizational structures, operations and methods to propose improvements.

Review the official Statistics Canada classification

Career outcomes depend on prior education, experience, employer requirements and labour-market conditions. The program does not guarantee employment or qualification for every role.

The goal is not simply to use AI tools.

Cumberland College’s Applied AI Business Management Diploma develops the practical knowledge and judgment to use artificial intelligence across a modern organization.

You will explore generative AI, machine learning, large language models, prompt engineering, analytics, automation and agentic systems—then apply them to familiar business challenges. The curriculum connects technology with decision-making, communication, governance and change.

By the end of the program, you will be able to assess opportunities, design AI-supported workflows, interpret data, create business content, improve customer experiences and build responsible implementation plans.

Strategy

Program facts

Every course is self-contained and has no prerequisite. Open a course to see its focus and selected learning outcomes.

1,000 total instructional hours · 50 weeks

How you will learn Active learning, with room to practise

Courses combine concept development with repeated opportunities to apply, test and communicate what you learn.

  • Short lectures and instructor demonstrations
  • Guided and independent hands-on exercises
  • Business case studies, labs and simulations
  • Assignments, quizzes, presentations and projects
  • Evaluation of AI outputs and business recommendations
  • Approximately 1–3 hours of homework per lesson

 

Delivery options

Choose the setting that fits

In class
Attend scheduled instruction at the Surrey campus.

Synchronous distance education
Join live, scheduled classes online.

Combined synchronous delivery
Attend in person or online while the instructor teaches live from the classroom. Up to 50% of delivery may be online.

Program curriculum Twelve courses. One business-wide AI toolkit.

Build a foundation in generative AI and translate its capabilities into a practical, responsible business roadmap.

Generative AI · machine learning · content workflows · customer experience · governance

  • Explain core technologies, including LLMs and GANs
  • Evaluate use cases across business functions
  • Plan infrastructure, data, training and integration
  • Develop policies for risk, bias and transparency

Understand how AI systems learn, where they add value and how to use them critically and responsibly.

AI foundations · supervised learning · neural networks · prompting · ethics

  • Compare major machine-learning approaches
  • Explain neural networks and deep learning
  • Structure and refine prompts for business tasks
  • Assess privacy, bias and accountability

Use AI-supported analytics to collect, manage, interpret and present business information responsibly.

KPIs · data management · machine learning · visualization · governance

  • Connect business goals to useful measures
  • Assess data quality, consent and privacy
  • Interpret AI-generated analysis and visualizations
  • Prepare reports and executive summaries

Create and improve professional communication with AI while protecting accuracy, voice and accountability.

Prompting · correspondence · proposals · reports · brand voice · copyright

  • Draft emails, memos and reports for different audiences
  • Develop proposals and presentation content
  • Maintain tone, persuasion and brand consistency
  • Review output for evidence, ethics and ownership

Apply AI to common accounting and finance processes while maintaining appropriate controls and oversight.

Process automation · budgeting · forecasting · anomaly detection · reporting

  • Identify opportunities in accounting workflows
  • Support budgets and demand forecasts
  • Explore fraud, anomaly and risk detection
  • Evaluate solutions against ethical and regulatory needs

Use AI to strengthen administration, customer insight, process improvement and management reporting.

Administration · customer data · automation · business intelligence · change

  • Apply LLMs and prompts to administrative work
  • Support segmentation and personalization
  • Design intelligent process improvements
  • Plan adoption, upskilling and governance

Use AI to research, plan, launch and operate an entrepreneurial venture with limited resources.

Market research · business planning · product development · sales · operations

  • Research customers and competitors
  • Develop business plans and financial projections
  • Support product, marketing and sales workflows
  • Build responsible operating practices

Explore AI-supported talent processes while examining fairness, privacy and the continuing role of human judgment.

Recruitment · onboarding · performance · engagement · workforce analytics

  • Assess screening and candidate-matching tools
  • Support training and performance processes
  • Analyze engagement, retention and workforce needs
  • Reduce bias and protect employee data

Apply AI throughout a project lifecycle—from charter and scope through schedule, risk, quality and cost control.

Project documentation · WBS · scheduling · risk · quality · forecasting

  • Draft project and stakeholder documents
  • Support scope, schedules and progress tracking
  • Analyze risk, quality and testing information
  • Improve estimates, budgets and forecasts

Use AI to understand buyers, manage pipelines, develop persuasive sales material and improve forecasts.

Sales funnel · CRM · audience research · presentations · pricing · forecasting

  • Map AI opportunities across the sales cycle
  • Research audiences and decision-makers
  • Develop pitches and presentation content
  • Apply data to pricing and forecasting

Go deeper into LLMs, evaluation, retrieval, tool use and agentic systems for reliable business applications.

LLMs · context · evaluation · RAG · prompt chains · agents · guardrails

  • Explain tokenization, training and context limits
  • Design advanced prompts and evaluation rubrics
  • Explore retrieval, memory, tools and APIs
  • Plan privacy, access and governance controls

Apply AI across customer journeys, content, search, social media, personalization and campaign planning.

Segmentation · content · SEO · sentiment · personalization · predictive marketing

  • Build personas and audience segments
  • Create AI-supported content workflows
  • Use social listening and sentiment analysis
  • Develop data-informed marketing action plans

Admissions requirements

Academic admission

Applicants must have a secondary school diploma: a B.C. Grade 12 diploma, B.C. Adult Graduation Diploma, GED, or equivalent secondary-school completion from another jurisdiction.

Mature student admission

Applicants may be considered through the mature-student pathway if they are 19 or older at program start, are Canadian citizens or permanent residents, and cannot access their secondary-school records. Additional requirements include an attestation of three years of full-time English-language study in a country where English is a principal language and minimum Accuplacer scores:

  • Reading: 235
  • Writing: 235
  • WritePlacer: 4

English language proficiency

Applicants may qualify through prior education in English as described in the official program outline, or through one of these accepted tests completed within the previous two years:

  • IELTS Academic 5.5
  • CELPIP L6 · S6 · R5 · W5
  • TOEFL iBT 46
  • PTE Academic 43
  • Cambridge B2 First 160 / C
  • CAEL 40
  • Duolingo 95

Admissions will confirm current documentation and equivalency requirements.

Admissions Not sure which pathway applies?

An admissions advisor can review your education, language documentation and next steps before you apply.

Core capabilities developed across the program

Prompt engineering · Generative AI · Business analytics · Automation · LLM evaluation · AI governance · Change planning · Data storytelling

How to apply Take the next step

Admissions can help you confirm eligibility and prepare the documents required for your application.

Review the program
Explore the curriculum, schedule and delivery options.

Confirm admission eligibility
Gather academic and English-language documentation.

Submit your application
Complete the online application and required materials.

Plan your start
Work with Admissions on intake, funding and enrolment.

AI skills for real business work

Hands-on exercises, demonstrations, case studies, projects and presentations.

Assessment and progression Demonstrate what you can do

Every course uses the same balanced assessment structure, combining frequent practice with a major project and two exams.

Delivery options Choose the setting that fits

In class
Attend scheduled instruction at the Surrey campus.

Synchronous distance education
Join live, scheduled classes online.

Combined synchronous delivery
Attend in person or online while the instructor teaches live from the classroom. Up to 50% of delivery may be online.

Develop a broad, applied toolkit while learning where human judgment, privacy, ethics and governance must remain central.

Tuition Fees

Domestic Students

Tuition Refund Policy

*The Valued Skills bursary is available to Canadian citizen and permanent residents of Canada, speak with our admissions team to obtain all the conditions 

Assessment and progressionDemonstrate what you can do

Assignments 20%

Quizzes 10%

Participation 5%

Passing grade 60%

Frequently asked questions Program questions

It is a 1,000-hour diploma that teaches practical and responsible applications of AI across business strategy, operations, analytics, communication and core functions such as marketing, sales, HR, accounting and project management.

The program is 50 weeks and includes 1,000 instructional hours across 12 courses.

No. The official outline identifies the courses as independent, with no prerequisites or required sequence. Students may begin at the start of any course, subject to the College’s intake schedule.

It may be delivered in class, through synchronous distance education, or through combined synchronous delivery. Ask Admissions which options are available for your intake.

Assessment includes assignments, quizzes, projects, presentations, participation, and midterm and final exams. The passing grade is 60% in every course.

The program aligns with business management consulting and analysis occupations, including business management consultant, business methods analyst, management analyst and organizational analyst. Employer requirements vary, and completion does not guarantee employment.

Contact Cumberland College Admissions for current tuition, course-material costs, intake-specific fees and available financial support.

Ready to bring AI into business practice?

Talk with Cumberland College about admissions, upcoming intakes and delivery options.