BUSINESS-17 · Advanced · ENGLISH · PLANNED
Study an original business case, compare options, make a decision and defend implementation.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Business Administration · BBA/MBA | Business Research Methods and Management Consulting
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Sign in to save this learning pathPractical outcome: Design an ethical study for a fictional business problem.
Explain research questions using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Explain literature reviews using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Explain conceptual frameworks using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Explain qualitative methods using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Use the first concepts from this section. Design an ethical study for a fictional business problem. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain quantitative methods using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Explain mixed methods using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Explain sampling design using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Explain research ethics using a visual and one worked real-world example. Context: Design an ethical study for a fictional business problem. End with a prediction or check-for-understanding.
Design an ethical study for a fictional business problem. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Research questions, Literature reviews, Conceptual frameworks and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Analyse supplied synthetic interview and survey data.
Explain interview guides using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Explain survey design using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Explain observation using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Explain case-study protocols using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Use the first concepts from this section. Analyse supplied synthetic interview and survey data. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain qualitative coding using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Explain measurement validity using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Explain reliability using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Explain triangulation using a visual and one worked real-world example. Context: Analyse supplied synthetic interview and survey data. End with a prediction or check-for-understanding.
Analyse supplied synthetic interview and survey data. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Interview guides, Survey design, Observation and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Deliver a scoped recommendation for a hypothetical client.
Explain problem structuring using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Explain issue trees using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Explain hypothesis-driven analysis using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Explain work planning using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Use the first concepts from this section. Deliver a scoped recommendation for a hypothetical client. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain client interviews using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Explain recommendation testing using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Explain implementation roadmaps using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Explain consulting presentations using a visual and one worked real-world example. Context: Deliver a scoped recommendation for a hypothetical client. End with a prediction or check-for-understanding.
Deliver a scoped recommendation for a hypothetical client. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Problem structuring, Issue trees, Hypothesis-driven analysis and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Deliver a scoped recommendation for a hypothetical client. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Business Research Methods and Management Consulting, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Case discussions, business plans, management simulations and original consulting projects. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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