This module is discontinued in the selected year. The information shown below is for the academic year that the module was last running in, prior to the year selected.
2016/17 Undergraduate Module Catalogue
LUBS2930 The Practice of Analytics
10 creditsClass Size: 50
Module manager: Sajid Siraj
Email: S.Siraj@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2016/17
Pre-requisite qualifications
A-Level Mathematics or Statistics Grade ACo-requisites
| LUBS2940 | Business Analytics 2 |
This module is not approved as a discovery module
Module summary
“Soft” skills including team working, cultural sensitivity, ethical awareness and effective communication are required to be an effective data scientist. You will explore these skills in this module through a series of case studies on the actual practice of analytics.Objectives
The module will focus on developing the “soft” skills required to be an effective data scientist including team working, cultural sensitivity, ethical awareness, and effective communication.Learning outcomes
Learning Outcomes - Knowledge/Application
Upon completion of this module students will be able to:
1. Identify and discuss cultural factors involved in data analysis in global organisations
2. Identify and discuss ethical issues involved in the use of data
3. Describe and evaluate specific case studies of the actual practice of data analytics
Learning Outcomes – Skills
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. Work effectively in teams
2. Communicate effectively via presentations and written reports
3. Manage their time effectively
Skills outcomes
Upon completion of this module students will be able to:
1. Use their data analysis skills more effectively in a working environment
Syllabus
Indicative content:
1. The job market for data scientists
2. Skills audits for data scientists
3. Effective report writing
4. Effective presentation skills
5. Working in teams
6. Project management
7. Cultural issues in data analysis in a global context
8. Ethical issues in data analysis
9. Case studies of analytics in action
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Seminar | 10 | 2.00 | 20.00 |
| Private study hours | 80.00 | ||
| Total Contact hours | 20.00 | ||
| Total hours (100hr per 10 credits) | 100.00 | ||
Private study
Private study4 hours preparation per seminar = 40 hours
Assessed coursework = 40 hours
Total private study = 80 hours
Opportunities for Formative Feedback
Student progress will be monitored principally by seminar performance. Selected seminar assignments will be submitted in advance and marked to provide feedback on student progress.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Group Project | 15-minute presentation + supporting documentation | 20.00 |
| Reflective log | 2000 words max, submitted via Turnitin | 80.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Group project will require a 15-minute presentation focusing on the ethical and cultural issues involved in the use of data analytics in organisations that operate globally. The assessment will be based equally on the actual presentation and the supporting documentation (i.e. slides and notes). The project assessment will be for the group as a whole supplemented by the standard Faculty procedure for marks to reflect group member evaluations of individual contributions.
Reading list
The reading list is available from the Library websiteLast updated: 31/03/2017
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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