2025/26 Undergraduate Module Catalogue

LLLC0211 Introduction to Mathematics and Statistics for Business

20 Credits Class Size: 90

Module manager: Katy Dobson
Email: k.l.dobson@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2025/26

Mutually Exclusive

LUBS1275 Mathematics and Statistics for Economics and Business 1A
LUBS1630 Introductory Statistics for Business
MATH0111 Elementary Diff Calculus 1
MATH0365 Foundation Probability and Statistics
MATH0390 Foundation Pure and Applied Mathematics
MATH1050 Calculus and Mathematical Analysis
MATH1400 Modelling with Differential Equations
MATH1710 Probability and Statistics I

Module replaces

MATH0390

This module is not approved as a discovery module

Module summary

The module will introduce you to the essential mathematical concepts required for success on your degree. It aims to develop your understanding, skills and techniques of basic mathematics to a level at which you can confidently and independently apply these concepts within a business context.

Objectives

During this module students will be introduced to core concepts and techniques in mathematics.
They will gain experience and confidence using these techniques and learn how mathematics is applied in business, finance and economics.
Students will develop an understanding of how to interpret mathematical objects from a business environment and learn how to effective communicate this understanding.

Learning outcomes

On successful completion of this module, students will be able to:
1. Explore and manipulate a variety of basic mathematical objects
2. Perform calculations and solve problems in abstract mathematical and real-world scenarios
3. Present mathematical ideas using precise mathematical language in various forms





Syllabus

The content will be delivered through lectures and seminars and will cover areas such as…
• Revision of basic arithmetic, algebra and equations.
• Manipulation of surds, logarithms and exponentials.
• Solutions of equations and rearranging
• Introduction to probability and descriptive statistics
• Introduction to calculus

Teaching Methods

Delivery type Number Length hours Student hours
Lecture 20 2 40
Seminar 10 2 20
Independent online learning hours 40
Private study hours 100
Total Contact hours 60
Total hours (100hr per 10 credits) 200

Opportunities for Formative Feedback

Formative feedback will be given in seminars, via in-class quizzes, via completion of online quizzes and via submission of independent work such as written problem sets.


Methods of Assessment

Coursework
Assessment type Notes % of formal assessment
Coursework Online assessment taking approximately 6 hours 30
Total percentage (Assessment Coursework) 30

Coursework will be released and submitted as a single assessment, however students will be encourage to tackle problems as the relevant material is covered, on a week-by-week basis.

Exams
Exam type Exam duration % of formal assessment
Standard exam (closed essays, MCQs etc) (S1) 2.0 Hrs 0 Mins 70
Total percentage (Assessment Exams) 70

Resits for the exam component of the module will be assessed by the same methodology as the first attempt during the August Resit period, in most cases, or during the next available opportunity.

Reading List

The reading list is available from the Library website

Last updated: 28/04/2025

Errors, omissions, failed links etc should be notified to the Catalogue Team