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2017/18 Undergraduate Module Catalogue

LUBS2931 Evidence-based Consultancy

10 creditsClass Size: 60

Module manager: Dr Sajid Siraj
Email: s.siraj@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2017/18

Module replaces

LUBS2930 The Practice of Analytics

This module is approved as a discovery module

Module summary

The 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.

Objectives

The 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.

Learning outcomes
Knowledge/Application

Upon completion of this module students will be able to:
1. Analyse and articulate the consultancy process
2. Explain the importance of understanding client needs (internal and external)
3. 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)
4. Identify and discuss ethical issues involved in the use of data

Subject specific

Upon completion of this module students will be able to:
Subject specific
1. Use their data analysis skills more effectively in a working environment
Transferable
1. Apply critical thinking and analysis in a business context
2. Communicate effectively via presentations and written reports
3. Be aware of cultural factors in global organisations
4. Manage their time effectively

Skills outcomes
Ethical Awareness


Syllabus

Indicative content:
1. Business analysis: understanding client problems
2. Data audit: what is possible now, what is needed to properly address the issue
3. Techniques audit: what is possible now, what is needed to properly address the issue (can include training needs)
4. Effective presentation skills
5. Project management
6. Cultural issues in data analysis in a global context
7. Ethical issues in data analysis

Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery typeNumberLength hoursStudent hours
Lecture111.0011.00
Seminar91.009.00
Private study hours80.00
Total Contact hours20.00
Total hours (100hr per 10 credits)100.00

Private study

4 hours preparation per seminar = 36 hours
Assessment preparation = 44 hours
Total private study = 80 hours

Opportunities for Formative Feedback

Online MCQ revision tests relating to lecture material will provide instant feedback and correct answers with their justification. This will act as formative feedback to students. Consultation hours will be announced on the VLE wherein students can contact the module leader for questions related to the module.

Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information


Exams
Exam typeExam duration% of formal assessment
Open Book exam2 hr 00 mins100.00
Total percentage (Assessment Exams)100.00

The resit for this module will be 100% by examination.

Reading list

The reading list is available from the Library website

Last updated: 25/01/2018

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