Use the Tab and Up, Down arrow keys to select menu items.
This course provides students with the opportunity to apply the principles and techniques of evidence-based management (EBM) to a real-world organisational problem. Working in teams, students engage with a client organisation to diagnose a management issue, gather and evaluate multiple sources of evidence, and develop actionable, evidence-informed recommendations. The course emphasises critical thinking, stakeholder engagement, and professional consulting skills, preparing students to deliver practical solutions grounded in rigorous analysis. MBUS672 builds directly on prior learning from MBUS604 and serves as a capstone experience for students in the Master of Business Management.
The objectives of the course are:1. Collaboratively design and execute a team-based consulting project that integrates primary and secondary data collection and stakeholder engagement with a client organisation.2. Demonstrate professional and ethical stakeholder engagement, including the ability to engage respectfully in a bicultural context and with awareness of Te Tiriti o Waitangi obligations.3. Independently analyse and synthesise primary and secondary data to diagnose organisational problems and generate insights in a client context.4. Acquire, critically appraise and aggregate multiple sources of evidence - including academic literature, organisational data, stakeholder perspectives, and professional expertise - to develop sound, evidence-informed recommendations.5. Produce a logically organised, well-argued and professionally presented individual consulting report.6. Effectively communicate findings and recommendations through an oral presentation that demonstrates clarity, professionalism, and responsiveness to audience needs.7. Reflect on the challenges and limitations of evidence-based consulting practice, including data quality, stakeholder dynamics, and the application of research in multicultural contexts.
MBUS604
MBAZ672
Students must attend one activity from each section.
Anna Earl
The ‘45% rule’ does not apply to this course. That is, students do not need to reach 45% weighted average across invigilated assessments. Please refer to https://learn.canterbury.ac.nz/course/view.php?id=7744 for further information.Guidelines for the Use of AI in CourseworkThe use of AI may or may not be permitted in courses. Within a course, permission may vary by assignment. It is the responsibility of the student to inform themselves about assessment conditions and submit work that is their own and that properly acknowledges the work of other people and tools, including generative artificial intelligence tools.It is important to familiarise yourself with the UC Misconduct Procedure Guide for Students. Examples of academic misconduct include, but are not limited to: Where a student uses a generative artificial intelligence (AI) tool for an assessment in a manner that is not expressly permitted or fails to acknowledge the use of a generative AI tool as instructed.Assessment In Te Reo MāoriIn recognising that Te Reo Māori is an official language of New Zealand, the University provides for students who may wish to use Te Reo Māori in their assessment. If you intend to submit your work in Te Reo Māori you are required to do the following:Read the Assessment in Te Reo Māori Policy and ensure that you meet the conditions set out in the policy. This includes, but is not limited to, informing the Course Coordinator 1) no later than 10 working days after the commencement of the course that you wish to use Te Reo Māori and 2) at least 15 working days before each assessment due date that you wish to use Te Reo Māori.
Barends, E., & Rousseau, D. M; Evidence-based management: How to use evidence to make better organizational decisions ; Kogan Page Publishers, 2018.
Domestic fee $2,395.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Management, Marketing and Tourism .