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FIN-10001 - Module Specification
Keele Business School
Faculty of Humanities and Social Sciences

For academic year: 2025/26 Last Updated: 04 December 2025

FIN-10001 - Methods for Finance and Accounting
Coordinator: Alena Audzeyeva Tel: +44 1782 7 33271
Lecture Time: See Timetable...
Level: Level 4
Credits: 30
Study Hours: 300
School Office: 01782 733094

Programme/Approved Electives for 2025/26

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

No

Barred Combinations

No

Description for 2025/26

This module offers a comprehensive introduction to the analytical skills essential for navigating modern finance and accounting landscapes. A hands-on approach is emphasized, with students utilizing real-world financial data from the Bloomberg terminal. Additionally, students receive a brief introduction to Excel, and a programming language such as Python. Familiarity with common terminology used in the field of finance and accounting is also a key component of this module.

Aims
The module aims to familiarise students with some key tools and techniques useful for developing and analysing quantitative models. Students will develop their knowledge of tools and techniques for presenting and analysing financial, accounting and business data and essential statistical methods such as the methodology for sampling that are necessary for the study of Finance, Accounting and related disciplines.

Intended Learning Outcomes

illustrate logical and structured analysis to a range of problems.: 1
apply selected key concepts such as discounting and compounding for a range of applications in finance and accounting.: 1
apply the concepts of margins and optimisation for decision making to a range of finance and accounting problems.: 1
interpret financial data through appropriate graphical representations, tables, and summary statistics.: 2
differentiate between sample and population data in using confidence intervals and hypothesis testing.: 2
apply statistical techniques like linear regression to model relationships from sample data in a range of areas.: 2

Study hours

36 hours lectures
12 hours problem based exercise and computer lab classes
60 hours preparation for classes
32 hours preparation for on-line examination
52 hours portfolio preparation
108 hours independent study

School Rules

No pre-requisite beyond programme entry requirement for grade C GCSE Mathematics or equivalent.

Description of Module Assessment

1: Open Book Assessment weighted 40%
Computer based test (open book)
This is a 90-minute online assessment representing a set of computer-based tasks that cover the first half of the module syllabus, taught in Semester 1. The assessment will be available on the KLE for 28-hours for students to complete and submit their answers. Students will be informed that they will have 28-hour access to their computer-based assessment, but once they start the assessment they should finish and submit their answers in 90-minutes, adjusted for eligible students, otherwise the system will submit their answers automatically.

2: Portfolio weighted 60%
Portfolio of assignments
This is a portfolio of assignments involving statistical data analysis undertaken during the semester and submitted at the end of the Semester. Approximately 1500 words.

The University undertakes a continuous review of its teaching and research provision to ensure programmes are of a high quality and changes may be made to modules where it is necessary and reasonable to do so. Please be aware that minor changes to modules, such as a change to an individual assessment, can occur up until enrolment, although we endeavour to give you as much notice as possible of any changes. Details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/legalgovernancecompliance/governance/actcharterstatutesordinancesandregulations/studenttermsconditions/

Last Updated: 04 December 2025