2023/24 Taught Postgraduate Module Catalogue
LUBS5318M Evidence Based Consultancy
15 creditsClass Size: 280
Module manager: Dr. Sajid Siraj
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2023/24
This module is not approved as an Elective
ObjectivesThe aim of this module is to provide students with the skills to act in a consultancy capacity for both external and internal clients in a commercial context providing evidence based solutions to business problems. This is compulsory for the MSc Business Analytics & Decision Sciences, as this is a likely role for graduates, working as part of a team.
Upon completion of this module students will be able to:
- analyse and articulate the consultancy process
- explain the importance of understanding client needs (internal and external)
- apply different ways of identifying the required resources to achieve the business goal in an evidence-based way (as shown in the sessions, and outlined in the syllabus).
- analyse and articulate business communication and management of the implementation process.
- identify the need for reflection and review in developing their consultancy approach.
• Critical thinking
• Communication Skills
Subject specific skills:
Effective decision making in a consultancy context
- Business analysis: understanding client problems
- Data audit: what is possible now, what is needed to properly address the issue
- Techniques audit: what is possible now, what is needed to properly address the issue (can include training needs)
- Identifying the intervention
- Making the case
- Implementation and managing change
- Reflection and review
|Private study hours
|Total Contact hours
|Total hours (100hr per 10 credits)
Private studyThis could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
Opportunities for Formative FeedbackYour teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.
Methods of assessment
|% of formal assessment
|Total percentage (Assessment Coursework)
The resit for this module will be 100% by coursework assignment.
Reading listThe reading list is available from the Library website
Last updated: 28/04/2023 14:49:18
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