DISSERTATION FOR BUSINESS ANALYTICS - 2022/3
Module code: MANM389
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.
The dissertation is compulsory for all MSc students and is the final element of the programme, providing an opportunity for a sustained period of independent study and research. It allows students to concentrate on topics that are of particular interest to them and it draws upon a range of different aspects of the taught programme particularly the Quantitative Methods Induction at the beginning of the module. It also gives an opportunity for students to work independently with individual supervision.
The Dissertation can take one of two different formats:
a) An academically based dissertation. This form of dissertation follows the standard academic pattern of identifying a topic arising from a gap in the literature and developing a methodology to explore this area in depth.
b) A business or applied dissertation. This form of dissertation starts with an emerging business problem, either provided from an industrial partner or with their co-operation in the process, and seeks to provide a research based solution to or exploration of the problem.
Both formats of the dissertation seek to develop the same learning outcomes and follow the same assessment criteria.
Surrey Business School
FAKHIMI Masoud (SBS)
Number of Credits: 60
ECTS Credits: 30
Framework: FHEQ Level 7
JACs code: N100
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 570
Guided Learning: 29
Captured Content: 1
Prerequisites / Co-requisites
Students will identify a topic area of interest that they wish to develop further through their dissertation. This must be relevant to their programme of study. On the basis of this topic, students will be assigned a supervisor who will guide their work. The module is, however, largely based on self-directed study and research, which takes place during the Spring semester and the summer.
|Assessment type||Unit of assessment||Weighting|
|Project (Group/Individual/Dissertation)||PROJECT REPORT (15,000 WORDS)||100|
The student is assessed on the basis of a 14000 word project report and a 1000 word executive summary. The assessment criteria are available in the Dissertation Handbook provided to all students. All Dissertations are also checked for plagiarism using an electronic plagiarism detection system.
Formative assessment and feedback
•Students will receive individual feedback during the module from the tutor.
- Develop an original piece of research; select, define and focus upon an issue at an appropriate level
- Develop and apply relevant and sound methodologies, analyse the issue and develop recommendations and logical conclusions
- Explore ethical dilemmas that arise in research
|001||Write cogently to show an in-depth understanding and insight of a relevant topic of specific interest||KCPT|
|002||Use appropriate methodologies and to justify their use||KCPT|
|003||Analyse and present their findings, and to critically compare these with existing knowledge||KCPT|
|004||Critically evaluate findings to produce sound conclusions||KCPT|
|005||Synthesise many of the elements covered in the taught part of the programme||KCPT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The module commences in Semester 1, with the Quantitative Methods Induction workshop. The individual supervised part of the module starts in Semester 2 and is completed by early September of the same year.
The teaching and learning strategy is designed to develop the students&rsquo ability to conduct and report independent research. It builds on the Quantitative Methods Induction workshop, allowing students to gain experience of applying some of the principles and methods learned. Included in the strategy is the development of a research proposal to help students crystallise their ideas.
The teaching and learning methods include regular supervision and support by an experienced tutor in more generic aspects of the process. Students will discuss initial ideas with the teaching team for their programme, and then will write a short research proposal outlining the problem, research objectives and their proposed research strategy &ndash including approaches, and, as relevant, arrangements for fieldwork, development of instruments and sample. This is a formative assessment, and allows a fruitful discussion between student and supervisor about the proposed study. The proposal should be agreed with the supervisor before proceeding with the dissertation. Subsequent meetings may include discussing details of methodological approaches, how to organise fieldwork and structuring and writing the dissertation. Where necessary, students must obtain ethical approval prior to data collection. The supervisor will also comment and provide feedback on one complete draft of the student&rsquos work.
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: MANM389
For students in the Business Analytics MSc programme, a dissertation in the form of a business plan dissertation is not available as an alternative, and they have to have completed the Quantitative Methods Induction course;
Programmes this module appears in
|Business Analytics MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
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.