Module Catalogues, Xi'an Jiaotong-Liverpool University   
Module Code: MAN441
Module Title: Contemporary Issues in the Ethics of Business Analytics
Module Level: Level 4
Module Credits: 2.50
Academic Year: 2019/20
Semester: SEM1
Originating Department: International Business School Suzhou
Pre-requisites: N/A
This module teaches students how organisations deal with the new challenges posed by contemporary data analytics, especially in the realm of big data. It exposes students to research and real-life cases on ethical issues arising from collecting and analyzing big data. It provides students with practical frameworks for analyzing and acting in new ethically-sensitive situations.
Learning outcomes 
A Critically analyze contemporary ethical issues in business analytics

B Integrate research and practice to analyse ethical issues in business analytics

C Comprehend and account for the ethical implications of Big Data in different domains of management activity
Method of teaching and learning 
Intensive online seminars delivered by faculty members and guest speakers, including active researchers and practitioners in the field of data analytics. Classroom teaching will be supported by asynchronous online discussions in a blended learning mode. Students will be directed towards selected scholarly articles, academic research, contemporary professional journals and press articles to deepen their understanding of current issues concerning the ethics of data analytics.

In terms of mode of delivery, we use Adobe Connect. This allows those students not on campus, faculty and speakers from both other Chinese centres as well as abroad, to participate.

The module will examine the most challenging and debated issues in the ever-evolving field of big data. It will draw heavily upon recent and current real-world events, and it is therefore inevitable that the precise content of the syllabus will change to reflect this. However, it is likely that the module will examine a range of ethics-related issues such as:

• personal information,

• surveillance,

• privacy and consent in data gathering;

• database security and breaching of confidentiality;

• data interpretation and misinterpretation;

• the ethics of ad networks,

• on-line user tracking companies and data aggregators;

• and ethical issues concerning the regulation and supervision of big data owners.

Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester   6  12 DISCUSSIONS      57  75 


Sequence Method % of Final Mark
1 Written Report/ Case Study 60.00
2 Group Presentation 40.00

Module Catalogue generated from SITS CUT-OFF: 6/3/2020 1:32:49 AM