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 Mathematics and Statistics
Code ACFI112
Coordinator Miss KH Hall
Finance and Accounting
K.H.Hall@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2024-25 Level 4 FHEQ First 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 24

 6

         30
Timetable (if known)              
Private Study 120
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Assessment 1: Mid-Term Assessment Assessment Type: Written Exam Duration / Size: 1hr Weighting: 20 % Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty applies   1    20       
Assessment 2: Final exam Assessment Type: Written Exam (Managed by SAS) Duration / Size: 1hr 30 mins Weighting: 80 % Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL pe  1.5    80       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
             

Aims

This module will enable students to appreciate the role of statistical and mathematical methods in a business environment. It will also introduce students to different data types and approaches required for analysis.

Learning Outcomes

(LO1) Students will be able to calculate a range of basic financial measures

(LO2) Students will be able to identify different data types, manipulate data and carry out statistical and financial analysis, including interpretation of hypotheses using suitable significance tests

(LO3) Students will be able to calculate and use various location and dispersion measures, and explore data to enable decision making

(LO4) Students will be able to undertake analysis of data including simple forecast of financial data and evaluation of investment and saving options

(S1) Numerate

(S2) IT Literate

(S3) Problem Solver

(S4) Lifelong Learner

Teaching and Learning Strategies

Teaching Method 1: Lecture
Scheduled Directed Student Hours: 24 (2 hours each week)
Description: Lecture will be a delivery of content and introduction to new concepts and methods that will be assessed in both the midterm and end of term examination.
Attendance Recorded: Yes

Teaching Method 2: Seminar
Scheduled Directed Student Hours: 6
Description: 1 hour every other week
Attendance recorded: Yes

Skills mapping

Skill: Numerate
How is it developed: Students will be required to demonstrate numeracy skills throughout the module such as analysing and interpreting data sets, probability, and linear programming.
How is it assessed (if applicable): Midterm and final exam

Skill: IT literate
How is it developed: Students will analyse data sets and use Excel to display their findings to make investment decisions for a business as part of their midterm assessment.
How is it assessed (if applicable): Midterm and final exam

< p>Skill: Problem solver
How is it developed: Students will use the skills they learn throughout the module to solve business decisions such as valuing investments and projects, confidence intervals and other financial mathematical problems.
How is it assessed (if applicable): Midterm and final exam

Skill: Lifelong learner
How is it developed: Students will develop a strong understanding and confidence of the mathematical and statistical skills that will be transferable to other modules throughout university and into their future employment.
How is it assessed (if applicable): Midterm and final exam

Syllabus
 

This module will cover:
Calculate a range of basic financial measures
Introduction to data types, primary and secondary data sources
Measures of location and dispersion and their uses
Probability
Financial mathematics, compounding, discounting, and investment appraisal
Confidence intervals and hypothesis tests
Linear programming
Index numbers

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.