BUSINESS ANALYTICS CHALLENGE PROJECT 2 - 2022/3
Module code: MAN3203
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.
This module will provide the students with the opportunity to harness previously learned business analytics methods to solve a problem in their respective proposed plan (business analytics challenge project 1). The students will submit a substantial piece of work with practical solutions to the problem.
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
· Effective academic writing and presentations.
· Introduction to empirical qualitative and quantitative research.
· Data collection methods in business.
· Analysis, discussion and critical appraisal of findings.
|Assessment type||Unit of assessment||Weighting|
|Project (Group/Individual/Dissertation)||Business Analytics Challenge||100|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
their ability to utilise relevant business analytics methods within a suitable research project, conduct independent empirical research and write a project report.
Thus, the summative assessment for this module consists of:
· Business Analytics Challenge (100%)
Each student will have to submit a 4500-words research implementation report in week 11 of the semester including data collection, results and analysis, discussion, and conclusion.
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.
- · To allow students to consolidate learning in previous stages by expanding their knowledge of the relevant research methods.
- · Students will acquire and develop a number of skills in business analytics of realistic problems.
- · Students will be assisted in presenting the project according to accepted academic conventions.
|001||Implement solutions on proposed conceptual frameworks.||CKT|
|002||Identify, access and critically evaluate/review the relevant data and literature in systematic manner.||CKT|
|003||Communicate findings in a clear and effective manner in terms of a high quality and well-structured project according to conventions for academic reports.||CPT|
|004||Evaluate information collected to draw appropriate conclusions.||PT|
|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 solve problems and present findings
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: MAN3203
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.