ULMS Electronic Module Catalogue |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | BUSINESS ANALYTICS | ||
Code | EBUS305 | ||
Coordinator |
Professor T Bektas Operations and Supply Chain Management T.Bektas@liverpool.ac.uk |
||
Year | CATS Level | Semester | CATS Value |
Session 2022-23 | Level 6 FHEQ | First Semester | 15 |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
ULMS151 ORGANISATIONS AND MANAGEMENT |
Modules for which this module is a pre-requisite: |
Programme(s) (including Year of Study) to which this module is available on a required basis: |
Programme(s) (including Year of Study) to which this module is available on an optional basis: |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
12 |
6 |
12 6 |
36 | |||
Timetable (if known) |
60 mins X 1 totaling 12
|
60 mins X 1 totaling 6
|
60 mins X 1 totaling 6
|
||||
Private Study | 114 | ||||||
TOTAL HOURS | 150 |
Assessment |
||||||
EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 2: Unseen Examination Assessment Type: Written Examination Duration: 2 hours Weighting: 60% Reassessment Opportunity: Yes Penalty for Late Submission: Standard Anonymous Asses | 2 hours | 60 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 1: Report Assessment Type: Coursework Size: 2000 Words Weighting: 40% Reassessment Opportunity: Yes Penalty for Late Submission: Standard Anonymous Assessment: Yes | -2000 words | 40 |
Aims |
|
The module aims to provide an introduction to the key principles and concepts of Business Analytics to assist the students to develop technical skills in being able to apply a range of quantitative techniques to problems arising in business environments, for gaining improved insight and to support making better decisions. |
Learning Outcomes |
|
(LO1) Students will be able to understand what Business Analytics and Big Data are and to assess their relevance to business environments. |
|
(LO2) Students will be able to appreciate the wider issues around the use, collection and display of data. |
|
(LO3) Students will be able to evaluate the potential of Business Analytics tools to support decision-making in businesses. |
|
(LO4) Students will be able to understand the application of analytical business models and evaluate challenges associated with their implementation. |
|
(LO5) Students will be able to interpret the solutions yielded by Business Analytics tools with relevance to practical applications. |
|
(S1) Adaptability |
|
(S2) Problem solving skills |
|
(S3) Commercial awareness |
|
(S4) Organisational skills |
|
(S5) Communication skills |
|
(S6) IT skills |
|
(S7) International awareness |
|
(S8) Lifelong learning skills |
|
(S9) Ethical awareness |
Teaching and Learning Strategies |
|
Teaching Method - Online Asynchronous Learning Method Teaching Method - Synchronous Lecture Teaching Method - Seminar Teaching Method: Group Study Self-Directed Learning Hours: 114 Skills/Other Attributes Mapping Skills / attributes: Adaptability Skills / attributes: Problem solving skills Skills / attributes: Commercial awareness Skills / attributes: Organisational skills Skills / attributes: Communication skills Skills / attributes: IT skills Skills / attributes: International awareness Skills / attributes: Lifelong learning skills Skills / attributes: Ethical awareness |
Syllabus |
|
This syllabus will include (but is not limited to) the following: |
Recommended Texts |
|
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |