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Course & Unit Catalogues

MA50282: Industrial mathematics: context and practice

[Page last updated: 23 October 2023]

Academic Year: 2023/24
Owning Department/School: Department of Mathematical Sciences
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Semester 1
Assessment Summary: CW 100%
Assessment Detail:
  • Coursework 1 (CW 30%)
  • Coursework 2 (CW 35%)
  • Coursework 3 (CW 35%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Learning Outcomes: By the end of this unit students will be able to:
* Record a set of ideas and tools that are critical for operating effectively in an industrial environment;
* Assess existing and initiate new approaches to problem solving in a changing industrial environment;
* Conceptualise the solution to a mathematical problem from the point of view of a relevant industrial context;
* Communicate effectively to an industrial client, verbally and in writing.

Aims: The aim of the unit is to articulate the process of linking the mathematical machinery, real-world problem solving techniques, and concrete industrial contexts. Students will be introduced to basic principles of industrial application and develop skills that are essential for an industry-oriented mathematician. They will learn about industrial practices, the process of translating a mathematical solution into the language of industry, and acquire the related communication and project management skills.

Skills: Communication of mathematical solutions to an non-academic audience, keeping a written record of the process of problem solving.

* How to communicate mathematical solutions to a non-academic partner.
* Writing skills for effective operation in industry.
* Four mini-courses on industrial processes, such as: "How industry works", "NDAs and IPRs", "How contract works", "Industrial innovation" (or "From basic concept to working solution"), "Reproducibility of work".
* Assignment consolidating the knowledge and skills learnt: briefing session, supervised group work, presentation, and feedback session.

Course availability:

MA50282 is Compulsory on the following courses:

Department of Mathematical Sciences
  • TSMA-AFM19 : MSc Mathematics with Data Science for Industry
  • TSMA-AWM19 : MSc Mathematics with Data Science for Industry


  • This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
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