You are required to produce a market opportunity report for an actual business of your choice, rather than a club or society. This must be completely distinct from what your group worked on for assignment one, although you may choose to remain within the same industry if relevant. The report should include a detailed business model canvas with supporting notes to explain your business idea. Your report should be an expression of one of the United Nations Sustainable Development Goals (SDGs), ensuring it indicates how it reflects with sustainable and responsible business practices.
The word count is 2,500 words, excluding appendices. Additionally, you must include a 300-word reflection in the appendices, focusing on two to three skills you have developed during the module and how you might apply these skills in the future.
Remember, while your idea can be informed by the work you completed for assignment one, it must stand alone as a unique business opportunity that you have decided to develop.
Describe the target customer by outlining their demographics, geographic location, psychological traits, and behaviours
Describe the problem or challenge: The need you are meeting or the pain you are addressing
are eliminating.
Describe the Sustainable Development Goal you are addressing.
Provide the external research that supports your business idea
Describe your product or service and an explanation as to why it is likely to be successful (make appropriate reference to primary and secondary research undertaken beyond what was done for CW1).
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This assignment covers Learning Outcomes 3,4, and 5
The assessment criteria and weightings show you what is important in the assessment and how marks are shared across each criterion. When you are completing your assessment, remember you need to fulfil the brief and the assessment criteria below.
As the coursework for this module involves guidance by specified seminar leaders and a reflection informed by attendance and engagement, it is exempt from anonymous marking.
Statements, assertions, and ideas made in coursework should be supported by citing relevant sources. Sources cited in the text should be listed at the end of the assignment in a reference list. Any material that you read but do not cite in the report should go into a separate bibliography. Unless explicitly stated otherwise by the module teaching team, all referencing should be in Cite Them Right referencing format.
Unless indicated otherwise, coursework is submitted via Blackboard.
The deadline for this assessment is 14th April by 13:00 UK time. This means that your work should be fully uploaded before13:00. The University will treat your submission as late if your work has not been fully uploaded and stored on the server before 13:00. To avoid your submission being marked as late, you should upload your work as soon as possible before the deadline and must not wait until or just before the deadline to start uploading your work.
At busy times, the coursework submission process may run slowly. To ensure that your submission is not recorded as a late submission, avoid submitting very close to the deadline.
Any assessment submitted late online will be penalised unless you submit a claim for Mitigating Circumstances (MC) and the claim is accepted by the Registry. Check this page for more information about mitigating circumstances
If you do not submit an MC claim or if your MC claim is rejected, then your work will be penalised. If you submit your assessment late but within 24 hours or one working day of the specified deadline, 10% of the overall marks available for that assessment will be deducted as a penalty for late submission, except for work which is marked in the marginal pass rate range 40-49%. In this case, the mark will be capped at the pass mark of 40%.
If you submit your coursework more than 24 hours late after the specified deadline, you will be given a mark of zero for the work in question unless the Mitigating Circumstances claim has been accepted officially by the Registry.
If you are having technical difficulties with submission, please email the module leader, Deborah Rose, D.Rose@westminster.ac.ukand ask for advice.
If you have difficulties for reasons beyond your control (e.g., serious illness, family problems, etc.) that prevent you from submitting the assessment, make sure you apply to the Mitigating Circumstances board with evidence to support your claim as soon as possible. Further details can be found on the following URL
If you do not submit the coursework on time, log a call via the IT Service Desk that can be found on this webpage: University of Westminster
Please make sure that your message is very specific. The Service Desk will then email you confirmation that you will be able to use as supporting written evidence for your MC claim. You should take screenshots or make short videos that capture the issue, such as the error messages on the screen, as you may use them as supporting written evidence for your MC claim.
For this assessment, there will be an opportunity for academic support & feedback in Week 12, where you will receive support and feedback on your assessment before submission. There will also be opportunities to receive academic support during lectures through allocated question and answer sessions and the discussion board on the module blackboard site.
After submission, summative feedback will be provided online via Blackboard, where feedback takes the form of an indication of performance on the provided making grid. You will also receive several key points of strengths, weaknesses and academic skills you can improve upon. We aim to provide you with this feedback.
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Rapidly advancing AI technologies, notably in language and image generation, necessitate clarity on the University’s stance towards tools like ChatGPT and DALL-E. The University insists on original work from students, requiring independent thought and proper source citation. Outsourcing assignments to machines or third parties constitutes cheating, undermines critical thinking skills, hinders student development, and diminishes their potential contributions in both the academic and professional world.
The University recognises that students may legitimately use GenAI in many ways including for example: Assisting with grammar and spelling, utilizing it as a search tool for researching assignment topics, helping with planning, and developing the outline structure of a written assessment, generating ideas for graphics, images, and visuals, obtaining explanations of concepts, debugging code, overcoming writer’s block. These specific applications of GenAI can support students in their academic endeavours. However, it’s important to note that while these uses are permissible, students must still adhere to the principles of academic integrity and properly cite any sources or references derived from the assistance provided by GenAI. Please see the link below for more details on this.
Please note that some subject areas/specific taught modules will potentially have other legitimate ways for you to use GenAI and details of this will be communicated to you by module leaders where necessary.
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