Industrial Mathematics MSc

2020-21 (also available for 2021-22)

This course is eligible for Master's loan funding. Find out more.

Start date

21 September 2020

11 January 2021

Duration

1 year full-time

About the course

Our Masters course in Industrial Mathematics is designed to meet the requirements of the modern knowledge economy for employees with both the mathematical skills needed for modelling of industrial problems and processes, and the communication and teamwork skills needed to be able to apply these skills as part of a cross-functional or interdisciplinary team.

In addition to acquiring deep knowledge of mathematical tools and techniques needed to model industrial systems, we aim to develop the communication skills needed to understand the requirements of the problem owner and work with them to formulate a description true to the actual need and amenable to mathematical analysis. After the analysis has been carried you’ll also have the skills needed to communicate results in the context of the original problem, e.g. as actionable recommendations.

On completion of this course you will be able to work as mathematicians and mathematical modellers in industry, either working independently or embedded in cross functional teams. This course will also allow you to progress into academic research via a PhD qualification.

This course covers all the skills needed to apply mathematics to real-world problems and opens up a broad range of career prospects.

None

Prof. William Lee, Course Leader, Industrial Mathematics

Course detail

Effective Research and Professional Practice

This module aims to provide you with skills that are key to helping you become a successful computing researcher or practitioner. You'll get the opportunity to study topics including the nature of research, the scientific method, research methods, literature review and referencing. The module aims to cover the structure of research papers and project reports, reviewing research papers, ethical issues (including plagiarism), defining projects, project management, writing project reports and making presentations.

Advanced Mathematical Methods

This module will develop and apply various methods used to derive, analyse and solve ordinary and partial differential equations; which often exhibit unusual properties rendering them beyond standard techniques. While the differential equations arise in various applications this module will focus on the methods used to solve them rather than the context. However we will then apply the methods to specific differential equations found in applications with particular emphasis on active areas of research within the University.

Scientific Computing

Scientific computing is a key skill in the application of mathematics to solve academic and real world problems. This module will aim to teach you the theory of linear algebra and its implementation within the appropriate software. You will learn practical applications in solving equations, optimisation problems, finding solutions to ordinary and partial differential equations, and data analysis.

Data Analysis and Statistics

Statistical methodology and statistical practice are very central for data analysis. In official statistics, in hypothesis testing, in distributional properties of data, in very many application domains that support decision making, and so on, such as case studies where both statistical practice is important and the underlying and underpinning statistical methodology that is at issue. Statistical methods and statistical implementation are also very complementary to machine learning and data mining, covering supervised and unsupervised methods. Quite major developments in mathematics, in the past few hundred years, were brought about by statistical methods and their implementation. Real world applications are addressed by modelling and implementing applications encountered in business, e.g. Customer analytics, Credit scoring, Financial forecasting), in Health and Medical research (e.g. Automatic diagnosing, genetic data mining and Bioinformatics, mining online medical publications libraries), in structured and unstructured data analysis, etc. Students are exposed to current core research topics in data mining, machine learning, and interdisciplinary research in which data analysis plays an essential role.

Advanced Mathematical Modelling

In this module you will learn how to derive and analyse mathematical models describing physical, chemical, biological and industrial processes. Particular attention will be directed towards models based on conservation (of mass, momentum and energy) laws. Mathematical analysis will focus on model reduction and solution by non- dimensionalisation and asymptotic analysis. However, you will be expected to demonstrate a command of the entire modelling process: converting a problem into a form capable of mathematical analysis, carrying out that analysis and interpreting that analysis in the context of the original problem.

Individual Project: Industrial Mathematics

The project provides you with the opportunity to undertake a major programme of advanced independent work. You will conduct an original research project in the area of applied or industrial mathematics, where possible in collaboration with an industrial company. This is to be a substantial piece of self-directed original research work under the direction of a mentor. The Project will be self-driven, with the clear onus on you to negotiate agreement and communicate effectively, with all parties involved at each stage.

Entry requirements

Entry requirements for this course are normally:

  • A BSc or BEng Honours degree (2:2 or above) in Mathematics, Physical Science, Computing, Engineering or a related discipline.
  • You are expected to be familiar with and have some aptitude for basic Mathematics and basic statistical concepts and methods.
  • Substantial (3+ years) relevant industry experience.

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable. Read more about the University’s entry requirements for students outside of the UK on our Where are you from information pages.

Why Choose Huddersfield?


Watch this clip to find out five great reasons to choose the University of Huddersfield for postgraduate study.

Teaching excellence

Research plays an important role in informing all our teaching and learning activities. Through research our staff remain up-to-date with the latest developments in their field, which means you develop knowledge and skills that are current and highly relevant.

Find out more about our research staff and centres

  1. Huddersfield is a TEF gold-rated institution delivering consistently outstanding teaching and learning of the highest quality found in the UK (Teaching Excellence Framework, 2017).

  2. We won the first Global Teaching Excellence Award recognising the University’s commitment to world-class teaching and its success in developing students as independent learners and critical thinkers (HEA, 2017).

  3. Here at Huddersfield, you’ll be taught by some of the best lecturers in the country. The University is joint first in England for the proportion of staff with teaching qualifications (HESA 2020).

  4. We are joint second for National Teaching Fellowships which mark Britain’s best lecturers in Higher Education, winning a total of 17 since 2008 (2020 data).

  5. All our permanent teaching staff* have, or are completing, doctorates. This expertise, together with our teaching credentials, means that students here learn from knowledgeable and well-qualified teachers and academics who are at the forefront of their subject area.

*Permanent staff, after probation: some recently appointed colleagues will only obtain recognition in the months after their arrival in Huddersfield, once they have started teaching; research degrees applies to those on contracts of more than half-time.

Enhance your career


A mathematics qualification opens up a broad range of careers. Just some but not limited to, of the sectors employing mathematicians are Advertising and Marketing, Finance and Banking, Medicine and Health and IT and Computers.

* Percentage of our postgraduate students go on to work and/or further study within fifteen months of graduating (HESA Graduate Outcomes 2017/18, UK domiciled graduates).

96.4%*

Student support

At the University of Huddersfield, you'll find support networks and services to help you get ahead in your studies and social life. Whether you study at undergraduate or postgraduate level, you'll soon discover that you're never far away from our dedicated staff and resources to help you to navigate through your personal student journey. Find out more about all our support services.

In the School of Computing and Engineering we have a dedicated guidance team that provides the students that need it, guidance and support on both academic and non-curriculum matters.These may include:

  • Settling in
  • Personal development
  • Health and wellbeing
  • Balancing work and studies
  • Exam and assignment preparation
  • Staying the course (attendance, change course, extensions etc.)
  • Study skills and Technical English support from our Academic Skills Tutor

Important information

We will always try to deliver your course as described on this web page. However, sometimes we may have to make changes as set out below.

Changes to a course you have applied for

If we propose to make a major change to a course that you are holding an offer for, then we will tell you as soon as possible so that you can decide whether to withdraw your application prior to enrolment.

Changes to your course after you enrol as a student

We will always try to deliver your course and other services as described. However, sometimes we may have to make changes as set out below:

Changes to option modules

Where your course allows you to choose modules from a range of options, we will review these each year and change them to reflect the expertise of our staff, current trends in research and as a result of student feedback or demand for certain modules. We will always ensure that you have a range of options to choose from and we will let you know in good time the options available for you to choose for the following year.

Major changes

We will only make major changes to the core curriculum of a course or to our services if it is necessary for us to do so and provided such changes are reasonable. A major change in this context is a change that materially changes the services available to you; or the outcomes, or a significant part, of your course, such as the nature of the award or a substantial change to module content, teaching days (part time provision), classes, type of delivery or assessment of the core curriculum.

For example, it may be necessary to make a major change to reflect changes in the law or the requirements of the University’s regulators; to meet the latest requirements of a commissioning or accrediting body; to improve the quality of educational provision; in response to student, examiners’ or other course evaluators’ feedback; and/or to reflect academic or professional changes within subject areas. Major changes may also be necessary because of circumstances outside our reasonable control, such as a key member of staff leaving the University or being unable to teach, where they have a particular specialism that can’t be adequately covered by other members of staff; or due to damage or interruption to buildings, facilities or equipment.

Major changes would usually be made with effect from the next academic year, but this may not always be the case. We will notify you as soon as possible should we need to make a major change and will carry out suitable consultation with affected students. If you reasonably believe that the proposed change will cause you detriment or hardship we will, if appropriate, work with you to try to reduce the adverse effect on you or find an appropriate solution. Where an appropriate solution cannot be found and you contact us in writing before the change takes effect you can cancel your registration and withdraw from the University without liability to the University for future tuition fees. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

Termination of course

In exceptional circumstances, we may, for reasons outside of our control, be forced to discontinue or suspend your course. Where this is the case, a formal exit strategy will be followed and we will notify you as soon as possible about what your options are, which may include transferring to a suitable replacement course for which you are qualified, being provided with individual teaching to complete the award for which you were registered, or claiming an interim award and exiting the University. If you do not wish to take up any of the options that are made available to you, then you can cancel your registration and withdraw from the course without liability to the University for future tuition fees and you will be entitled to a refund of all course fees paid to date. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

When you enrol as a student of the University, your study and time with us will be governed by a framework of regulations, policies and procedures, which form the basis of your agreement with us. These include regulations regarding the assessment of your course, academic integrity, your conduct (including attendance) and disciplinary procedure, fees and finance and compliance with visa requirements (where relevant). It is important that you familiarise yourself with these as you will be asked to agree to abide by them when you join us as a student. You will find a guide to the key terms here, along with the Student Protection Plan, where you will also find links to the full text of each of the regulations, policies and procedures referred to.

The Office for Students (OfS) is the principal regulator for the University.

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