Professor

Industrial Mathematics - UH-000012

The University of Huddersfield seeks and encourages applicants in order to widen participation, improve access and apply the principles of equal opportunities.  We provide support for applicants who require additional assistance in order to select the right course of study and make a successful transition to studying at University.  We encourage local, national and international applications.  Further information for <a href="http://www.hud.ac.uk/international">International Students can be found on their website</a>.
If you were educated outside the UK, you are required to have International English Language Testing System (IELTS) at a score of 6.0 with a minimum score of 6.0 in writing and a minimum of 5.5 in any single component. For the MSc Industrial Mathematics with Placement course, the minimum for IELTS is 7.0 overall with 6.5 in any single component. If you have alternative qualifications or do not meet the IELTS requirement we also offer a range of <a href="http://www.hud.ac.uk/international/pre-sessionalenglishprogramme/">Pre-Sessional English Programmes.</a>
The University provides opportunities for the accreditation of prior learning (APL) as stated in section 3 of the <a href="https://www.hud.ac.uk/policies/registry/awards-taught/section-3/">Regulations for Awards.</a>
 The University’s general minimum entry requirements are specified in Section 1 of the <a href="https://www.hud.ac.uk/policies/registry/awards-taught/section-1/">Regulations for Awards.</a>
Every person who applies for this course and meets the minimum entry requirement – regardless of any disability – will be given the same opportunity in the selection process.  General advice and information regarding disability and the support the University can give can be found by contacting student services as follows:
Telephone: 01484 472675
Email: disability@hud.ac.uk
Further information is available on the <a href="https://students.hud.ac.uk/help/disability/">disability services website.</a>
Further advice on the specific skills and abilities needed to successfully undertake this course can be found by contacting the admissions tutor and by visiting our <a href="https://courses.hud.ac.uk/">course finder website page</a>.
MSc Industrial Mathematics:
<ul>
<li>An Honours degree (2:2 or above) in mathematics, physical science, computing, engineering or a related discipline or an equivalent professional qualification.</li>
<li>Applicants are expected to be familiar with and have some aptitude for mathematics and basic statistical concepts and methods</li>
<li>Other qualifications and/or experience that demonstrate appropriate knowledge and skills equivalent to Honours degree level.</li>
<li>Substantial (5+ years) relevant industry experience.</li>
</ul>

PgCert Industrial Mathematics
The PgCert Industrial Mathematics consists of a programme in which students must acquire the following credits: 60 credits from any of the taught modules available on the programme.
PgDip Industrial Mathematics
The PgDip Industrial Mathematics consists of a programme in which students must acquire the following credits: 120 credits from all the taught modules available on the programme.

UH-000012 - Industrial Mathematics

Masters Core

Masters Optional

Masters Compulsory

Masters Level

Structure

Postgraduate Diploma

Postgraduate Certificate

Develop general and critical abilities of an intellectual, logical, analytical, creative and problem-solving nature.

Have a systematic understanding of general principles and techniques appropriate to industrial applications of mathematics. 

Ability to develop mathematical models by abstracting the essentials of problems, formulating them mathematically, obtaining solutions by appropriate methods and interpreting these solutions.

Show good judgement in the selection and application of mathematical tools and techniques to solve unstructured ”real world” problems.

Reflectively formulate mathematical models to address specific complex problems or requirements and solve or analyse those models using appropriate analytic or numerical techniques. 

A professional mathematician’s understanding of codes of practice and the ethical conventions that underpin practice. 

A good understanding of computing principles, software processes and the uses and capabilities of computer languages and packages including MATLAB, R and Python.

An understanding of mathematical reasoning including the process by which mathematical proofs are constructed. 

Evaluate the correctness and reliability of numerical and analytical solutions. 

Competently plan and execute an advanced project themed in mathematics and report on it.

An insightful understanding of the implementation and use of numerical methods in developing approximate solutions. 

Give critical advice on the use of a given mathematical model, for a given situation. 

A comprehensive knowledge of calculus, differential equations (ordinary and partial), linear algebra and continuum mechanics.

Use professional judgment in the selection and use of industry standard software for specific purposes. 

A systematic understanding of the mathematical modelling of real-world problems and systems.

Use and write software to process data for simulation and analysis.

Use computer packages to solve problems in mathematics, critically evaluating their results.

Improve learning and performance by building on previous experience in order to generalize ideas and skills.

Use problem solving techniques to formulate appropriate problem solving strategies.

The ability to work competently and independently, to be aware of own strengths and weaknesses, and knowing when to ask for help.

Exercise critical judgement in searching, appraising and evaluating literature from a variety of sources and synthesizing the results of a literature review. 

Confident and accurate communication of arguments and conclusions in appropriate forms.

Quantitative understanding and interpreting data before and after processing.

<ul>
<li>The School Teaching and Learning Committee, a sub-committee of the University Teaching and Learning Committee, is tasked with implementing the University’s teaching and learning strategy and with fostering innovation in teaching and learning and the dissemination of good practice</li>
<li>The School Board, via the School Teaching and Learning Committee has responsibility for implementing University policy through school-defined procedures.</li>
<li>Periodic school and subject reviews take place on a rolling quinquennial programme and focus inter alia on the arrangements for quality management and enhancement, teaching, learning and assessment, C&amp;IT strategies, the articulation and assurances of standards, external examiner reports and evaluation and links with professional bodies, employers and other external organisations.</li>
<li>The Course Committee is responsible for the monitoring and development of the course or programme, taking account of feedback from staff, students and external examiners. Feedback is sought as follows:
<ul>
<li>From students through annual course and module evaluation questionnaires.</li>
<li>From external examiners through annual reports, course assessment board minutes, assessment moderation reports and informal verbal communication during the year.</li>
</ul>
</li>
<li>The annual evaluation of the course/programme is the responsibility of the School Board. The Course Committee prepares an annual evaluation report comprising reporting and evaluation, informed by feedback from staff, students and external examiners and by statistical data.</li>
<li>Amendments to course/programme and module documents are validated by the School Accreditation and Validation Panel.</li>
<li>A process for peer observation of teaching is in place with the object of enhancing teaching practice and sharing ideas between staff.</li>
</ul>

UH-000012

The latest subject review for the subject area that includes this course took place in January 2021. The panel commended the subject area for, among others, the strong links with industry which offers clear benefits for students and the ambitious plans for curriculum development.

At course level support is provided as follows:
<ul>
<li>Supporting documentation is provided, online, in the form of Student Handbooks, Module Handbooks, Programme Specification Documents (PSD) and Module Specification Documents (MSD)</li>
<li>The Course Leader is available to provide guidance on academic progress.</li>
<li>Module tutors are available to help with academic problems during term time, either on campus or through electronic means such as Microsoft Teams, to facilitate support for distance learning students.</li>
<li>All modules and year groups are supported on the Virtual Learning Environment</li>
</ul>

Industrial Mathematics

Term 1

Year 2

Term 2

Term 3

Year 1

MSc Industrial Mathematics FT Jan Start

MSc Industrial Mathematics FT Sept Start

The School of Computing and Engineering provides additional student support using a variety of approaches:
<ul>
<li>All students undertake an induction programme at the start of their studies.</li>
<li>All students have a Personal Academic Tutor (PAT), with whom they should discuss academic difficulties. The PAT will refer tutees to central help facilities as appropriate.</li>
<li>A Guidance Team supports students with a wide range of Learning and Academic skills development (<a href="https://students.hud.ac.uk/unilife/sce/studentsupport/">Student Support - University of Huddersfield</a>), through seminars, workshops and 1-1 appointments.</li>
<li>A central computer-based attendance-monitoring scheme is operated and students with poor attendance are contacted and advised.</li>
</ul>