BUSINESS ANALYTICS CHALLENGE PROJECT 1 - 2022/3
Module code: MAN3202
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
Students may have the opportunity to meet organisations seeking advice on a real Business Analytics Challenge or a problem of personal interest. They will investigate possible solutions and submit solution plan (proposal) based on the problem in hand supported by theoretical research.
Surrey Business School
ELDABI Tillal (SBS)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 6
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 138
Lecture Hours: 8
Tutorial Hours: 4
Prerequisites / Co-requisites
· Introduction to the philosophy of empirical research.
· Stakeholders management and communication skills.
· Literature search and literature review.
· An overview of Research Design (research approach and ethics; methodology & methods)
|Assessment type||Unit of assessment||Weighting|
|Oral exam or presentation||Business Challenge Presentation||20|
|Project (Group/Individual/Dissertation)||Business Challenge Proposal||80|
The assessment strategy is designed to provide students with the opportunity to demonstrate:their ability to identifying a suitable research topic, conduct independent academic literature review, conceptualise a solution framework, and write a research proposal.
Thus, the summative assessment for this module consists of:
· Research Proposal (80%)
Each student will have to submit a 3000-words individual research proposal of their project in week 11 of the semester including literature review and conceptual framework of their proposed work.
· Proposal Presentation (20%).
Oral presentation of the proposal after the submission of the proposal
Supervision sessions will be used as formative assessment outlets where supervisors will assess progress and advice on how to improve the project.
A supervisor will be allocated to the group by the module co-ordinator. Each student/group is required to have up to 4 meetings with the supervisor, who will monitor the project progress and provide formative feedback during these meetings.
- · The student may have the opportunity to learn about extracting problem definitions from external companies or internally proposed questions.
- · To allow students to critically evaluate business analytics methods for solving a specific business problem and develop a solution framework.
- · Provide the opportunity for students to plan, organise, and implement a large piece of work over a sustained period of time.
|001||Demonstrate in depth knowledge and a systematic, academically informed understanding of a selected topic within a business analytics context.||CKPT|
|002||Contextualise in depth knowledge within current academic debates in the literature.||CKT|
|003||Demonstrate awareness of research methods design and their strengths and limitations and show ability to select the most suitable research methods and consider potential ethical issues.||CKPT|
|004||Produce a project conceptual framework as a means to developing and refining ideas which will feed into a more substantive research project.||CPT|
|005||Work with an advisor in order to plan a scheme of work from inception to completion.||PT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
encourage critical understanding of the role played by analytics for business decision making. Learning will be supported through a combination of lectures and online discussion groups, plus directed and self-directed study to define problems and propose solutions frameworks.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: MAN3202
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.