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 | Data Analysis for Accountants | ||
Code | ACFI120 | ||
Coordinator |
Mr MJ Swift Finance and Accounting Mark.Swift@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2021-22 | Level 4 FHEQ | Second Semester | 15 |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
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 |
8 |
24 6 12 |
50 | ||||
Timetable (if known) |
60 mins X 1 totaling 8
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120 mins X 1 totaling 24
60 mins X 1 totaling 6 |
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Private Study | 100 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 3: Group Presentation Assessment Type: Practical Assessment Size: 5 minutes Weighting: 10% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Penalty Applies Anon | 5 minutes | 10 | ||||
Assessment 1 - Company Performance Analysis Report Assessment Type: Coursework Size: 1250 words Weighting: 30% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Penalty Appl | -1250 words | 30 | ||||
Assessment 2: Group Company Decision Making Report Assessment Type: Coursework Size: 3000 words Weighting: 60% Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Penalty Ap | -3000 words | 60 |
Aims |
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This module also aims to develop an understanding of financial statement analysis using financial accounting and ratio analysis skills developed in this and earlier modules. Using the research tools available, students will examine company financial statements and evaluate their position and performance. |
Learning Outcomes |
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(LO1) Students will be able to analyse and interpret financial statements and other financial information and draw appropriate conclusions.. |
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(LO2) Students will be able to calculate and discuss key ratios relevant to company financial statements. |
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(LO3) Students will be able to examine how the finance function uses data and data analysis to fulfil its roles. |
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(LO4) Students will be able to use data (financial and non-financial) and the appropriate concepts and techniques to facilitate performance measure and management – supporting the achievement of organisational objectives of value creation and preservation. |
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(LO5) In the analysis, presentation and interpretation of data, demonstrate consideration of the needs and abilities of the ultimate user of the data. |
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(S1) Flexible and Adaptable |
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(S2) A Problem Solver |
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(S3) Numerate |
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(S4) Commercially Aware |
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(S5) An Excellent Verbal and Written Communicator |
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(S6) Internationally Aware |
Teaching and Learning Strategies |
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Teaching Method: Online Asynchronous Learning Materials Teaching Method : Large Group Teaching Teaching Method: Seminar Teaching Method: Group Study Self-Directed Learning Hours: 100 Skills Mapping Skill 1: Flexible and Adaptable Skill 2: A Problem Solver Skill 3: Numerate Skill 4: Comm
ercially Aware Skill 5: An Excellent Verbal and Written Communicator Skill 6: Internationally Aware |
Syllabus |
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- Introduction to data analysis and its importance in analysing business performance and in business decision making. |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |