Surrey University Stag


Module code: MAN1145

Module Overview

The module teaches tools and techniques of Business Mathematics.

Module provider

Surrey Business School

Module Leader

MADON Farhad (SBS)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 4

JACs code:

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 90

Lecture Hours: 10

Seminar Hours: 20

Guided Learning: 20

Captured Content: 10

Module Availability

Semester 1

Prerequisites / Co-requisites


Module content

Topics include, but not exhausted to:
Basic numeracy, Data collection and Presentation, Descriptive Statistics, Index Numbers, Probability, Probability Distributions, Inference and Hypothesis Testing, Correlation, Linear and Multiple Regression, Forecasting, Linear Programming techniques, Time Value of Money, Investment Appraisal including Net Present Value

Assessment pattern

Assessment type Unit of assessment Weighting
School-timetabled exam/test School-timetabled exam/test 50 min 30
Examination Examination 120 min 70

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate

¿ Their knowledge of relevant mathematical tools

¿ Their ability to use excel to solve numerical problems

The summative assessment for this module consists of:

¿ A midterm test that addresses learning outcomes 1 and 2

¿ A final term examination covering all learning outcomes

Formative assessment and feedback

¿ Students will receive verbal feedback during lectures/seminars through direct questioning, also from class exercises which will challenge their understanding of the building blocks

¿ Class exercises and indicative questions given before the test will be the basis of the midterm test ¿ students will be encouraged to research these and ask questions

Module aims

  • Enable students to use mathematical and statistical methods.
  • Prepare students to apply mathematical tools required in future modules within the undergraduate degree programme.

Learning outcomes

Attributes Developed
001 Identify and use appropriate basic mathematical tools CKPT
002 Analyse and present data CKPT
003 Use probability techniques, apply probability distribution theory, make inferences and test hypotheses CKP
004 Calculate correlations and demonstrate tools for forecasting, including linear, multiple regression and time series CKPT
005 Apply financial mathematics techniques CKPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy:
¿ Give students the opportunity to gain knowledge and understanding of mathematical tools relevant to finance and accounting modules

¿ Engage students to develop excel skills enhancing digital literacy

The learning and teaching methods include:

¿ Elements of seminars, lectures, guided reading and captured content including illustrative practice exercises

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: MAN1145

Other information

Surrey Business School is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability, and Resourcefulness and Resilience. This module is designed to allow students to develop knowledge, skills, and capabilities particularly in the following areas: Digital Capabilities: Students will use excel throughout the module to learn module contents. The excel skills aid the development of finance and accounting related modelling and enhance their digital capabilities. Employability: The module aims to develop excel skills and financial awareness that will aid in enhancing employability. During the course of module delivery, students develop the ability to evaluate problems and devise solutions. As a result, students build and enhance individual and professional skills. Resourcefulness and Resilience: Students solve problems as well as critically analyse the solutions, thereby fostering an openness to different perspectives and developing their own viewpoint. In addition, through the independent and guided learning, students develop attributes such as confidence, adaptability, self-regulation, self-efficacy, problem solving and decision-making abilities.

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Accounting and Finance (Dual degree with SII-DUFE ) BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Accounting and Finance BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Accounting and Finance (SII DUFE) BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2024/5 academic year.