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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 A

Co-requisites

LUBS2940Business 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

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

Delivery typeNumberLength hoursStudent hours
Seminar102.0020.00
Private study hours80.00
Total Contact hours20.00
Total hours (100hr per 10 credits)100.00

Private study

Private study
4 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

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


Coursework
Assessment typeNotes% of formal assessment
Group Project15-minute presentation + supporting documentation20.00
Reflective log2000 words max, submitted via Turnitin80.00
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 website

Last updated: 31/03/2017

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