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Masters Degrees in Engineering/Industrial Mathematics, United Kingdom

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In today's uncertain global competition platform and economy, manufacturing and engineering are two of the most important pinnacles for a sustainable growth of any country. Read more
In today's uncertain global competition platform and economy, manufacturing and engineering are two of the most important pinnacles for a sustainable growth of any country. Many engineering companies require graduates who can demonstrate not only technological, but also managerial and entrepreneurial skill sets. You will be taught how to select advanced manufacturing processes and materials when making new products, and how to turn innovative ideas into real products quickly, timely and within the constraints of available resources, enhancing your employability.

The MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer. Accredited MSc graduates who also have a BEng(Hons) accredited for CEng, will be able to show that they have satisfied the educational base for CEng registration.

Key features

-A balanced syllabus blends aspects of technology and management to create a unique skill set, which is much sought after in industry.
-Academic teaching is also complemented by expert speakers from industry, keeping you up to date with the challenges and developments in the real world.
-Many modules are supported by practical workshops using the latest equipment and software. Such practical skills can easily be transferred into the working environment.

What will you study?

You will learn how to analyse complex technical problems and challenges faced by many real-world engineering companies of different sizes. You will also study the operational issues experienced by these companies through real case studies, and how to implement logical solutions under different scenarios. In addition, you will be able to measure the potentials of an engineering company not just through its technological adaptation but also from the entrepreneur viewpoint.

Throughout the course, you will have many hands-on sessions to practise what you have learned in the classroom. These practical skills will be obtained through using specialist software and hardware in engineering functions analysis, CAD/CAM, finite element modelling, operation management, quality analysis, business decision modelling, supply chain management and resources simulation. The project dissertation will allow you to develop a chosen field of knowledge which will complement your career ambition. Teamwork, group presentations, case studies and industrial speakers are other highlights of the course, enhancing your learning experience and employability.

Assessment

Coursework, group presentation, research project and exam.

Course structure

Please note that this is an indicative list of modules and is not intended as a definitive list.

Core modules
-Engineering Research Techniques, Entrepreneurship and Quality Management
-Advanced CAD/CAM Systems
-Mechatronic Design and Automation
-Engineering Individual Project

Option modules (choose one)
-Advanced Stress Analysis and Materials
-Industrial Operation Management and Resources Simulation
-E-engineering Systems
-Green Engineering and Energy Efficiency

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This programme develops mathematical modelling skills and provides mathematical techniques required by industry. The period October to June is devoted to lectures, tutorials and practical sessions comprising the core modules. Read more
This programme develops mathematical modelling skills and provides mathematical techniques required by industry.

The period October to June is devoted to lectures, tutorials and practical sessions comprising the core modules.

This is followed by a period of about 14 weeks devoted to an individual project either in an industrial or engineering company or at the University.

Core study areas include mathematical modelling, regular and chaotic dynamics, programming and numerical methods, advanced reliability, availability and maintainability, elements of partial differential equations, static and dynamic optimisation and fluid mechanics.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/industrial-maths-modelling/

Programme modules

Compulsory Modules:
Semester 1
- Mathematical Modelling I
- Regular and Chaotic Dynamics
- Programming and Numerical Methods
- Advanced Reliability, Availability and Maintainability

Semester 2
- Mathematical Modelling II
- Elements of Partial Differential Equations
- Static and Dynamic Optimisation
- Fluid Mechanics

Assessment

A combination of written examinations, reports, individual and group projects, and verbal presentations.

Careers and further Study

Graduate employment over a wide range of industries encompassing aerospace, automotive electronics, and computer interests as well as software houses, insurance companies, and research establishments and institutions.

Scholarships and sponsorships

A limited number of scholarships are available for this programme as well as the loyalty bonus scheme which reduces fees for Loughborough graduates.

Why choose mathematics at Loughborough?

Mathematics at Loughborough has a long history of innovation in teaching, and we have a firm research base with strengths in both pure and applied mathematics as well as mathematics education.

The Department comprises more than 34 academic staff, whose work is complemented and underpinned by senior visiting academics, research associates and a large support team.

The programmes on offer reflect our acknowledged strengths in pure and applied research in mathematics, and in some cases represent established collaborative training ventures with industrial partners.

- Mathematics Education Centre (MEC)
The Mathematics Education Centre (MEC) at Loughborough University is an internationally renowned centre of research, teaching, learning and support. It is a key player in many high-profile national initiatives.
With a growing number of academic staff and research students, the MEC provides a vibrant, supportive community with a wealth of experience upon which to draw.
We encourage inquiries from students who are interested in engaging in research into aspects of learning and teaching mathematics at Masters, PhD and Post Doc levels. Career prospects With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

- Career prospects
With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates
go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/industrial-maths-modelling/

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We welcome educational practitioners from science, technology, engineering, mathematics and computing, from all phases of education and work place training on our STEM Masters course. Read more
We welcome educational practitioners from science, technology, engineering, mathematics and computing, from all phases of education and work place training on our STEM Masters course. The STEM Masters course will consider the development of conceptual understanding generic to all the STEM subjects, whilst developing expertise within a specialist aspect. This course will challenge students to think deeply about their own professional contexts and settings, their place and role within this, and the possibilities for development, change, and generating practice knowledge and innovations. We will engage critically with the research that informs thinking about learning and classroom practice in the STEM subjects. We will examine the place of practical experience and the use of problem solving in real life contexts in developing pedagogical approaches. Students will look at how belief systems are established and at some of the counter-intuitive ideas that learners need to confront within the STEM subjects. We will consider the importance of developing positive attitudes in learners and explore the strategies involved in the successful management of change within institutions. Course members will also consider the role of the STEM subjects in all aspects of wider society.

This award is part of the Manchester Met Faculty of Education postgraduate Professional Development Programme.

Features and benefits of the course

-An expert team of tutors working across the STEM disciplines of science, technology, engineering, mathematics and computing
-Masters level continuing professional development tailored for your own context, priorities and interests, drawing on multi/interdisciplinary perspectives
-Offers an opportunity to work with those engaged in STEM education subject disciplines at various levels and to develop a shared understanding of STEM education as an inter-disciplinary and applied approach
-Places enquiry and purpose at the heart of professional practice
-Flexible award structure and three starting points (October, February, June)
-Participation in a large, dynamic and forward-thinking taught postgraduate community
-Course design and delivery to fit with busy work, and other, commitments
-Possibility of accrediting prior experiential learning (APEL)
-Masters level credits from other courses, subject to certain conditions

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The MSc Industrial Communication and Automation course has been developed with the intention of enabling students who aspire to get a formal Masters degree to develop their skills in this sought after area and attain PROFIBUS certification. Read more
The MSc Industrial Communication and Automation course has been developed with the intention of enabling students who aspire to get a formal Masters degree to develop their skills in this sought after area and attain PROFIBUS certification.

Industrial networks are transforming the way we design plants and factories, automate machines and produce goods. This highly regarded, specialist course covers the key components in industrial networking, communication protocols and advanced automation. Incorporating expertise in the School gained from close industry collaboration, you will study technologies relevant to communications for production and industry. You will learn how machines are networked, how data is managed and how systems operate; as well as how to make industrial processes more energy efficient and optimised for peak productivity and performance. You will also undertake a research project.

Features and benefits of the course

-Gain industry recognised qualifications and be a certified PROFIBUS engineer; certified PROFINET engineer; certified PLCopen engineer; certified AS-I engineer. These qualifications are recognised worldwide in the automation industry giving you an extra edge in the UK or the global job market.
-Close industry collaboration: the School of Engineering's Automation Systems Centre hosts the Competence Centre for PROFIBUS International in the UK.
-Excellent laboratory facilities with the latest commercial software and engineering tools.
-You will gain knowledge and skills that are highly sought by employers as the course incorporates latest commercial software and engineering tools.
-Research in the School of Engineering was rated 'internationally excellent' in the Research Excellence Framework (2014).
-The main student intake is in September but it is also possible to begin studying in January.

About the Course

Our engineering Masters programmes are designed to meet the needs of an industry which looks to employ postgraduates who can learn independently and apply critical thinking to real-world problems. Many of the staff who teach in the School also have experience of working in industry and have well-established links and contacts in their industry sector, ensuring your education and training is relevant to future employment.

Assessment details

You will be assessed through a combination of written reports, oral presentations, practical assignments and written examinations.

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Mathematical models are fundamental to how we understand, analyse and design transportation systems, but these models face challenges from the rapidly changing nature of mobility. Read more

Mathematical models are fundamental to how we understand, analyse and design transportation systems, but these models face challenges from the rapidly changing nature of mobility.

Innovative technologies are being harnessed to deliver new approaches to transport services, and huge volumes of data create new opportunities to examine how patterns of movement are evolving.

If you’re a highly numerate graduate with a desire to apply your quantitative skills to the real world, or a practitioner working in the sector, this course will take you to the next level and prepare you for a career as a transport modelling specialist.

97% of our graduates find employment in a professional or managerial role, or continue with further studies.*

Experience a course designed in collaboration with employers, learning skills the industry desperately needs to unlock the full potential of big data.

Learn to think creatively, beyond the standard application of established solutions, and use your technical expertise across multiple scenarios.

Develop and apply mathematical models to analyse and improve the performance of transportation networks and flows:

  • Use mathematical models to represent transport systems and forecast demand
  • Test solutions and strategies using different models
  • Apply optimisation algorithms to traffic networks
  • Develop computer code to enhance and visualise outputs
  • Critically evaluate and adapt existing modelling techniques
  • Write scientific reports for technical and lay audiences
  • Develop research and advanced scholarship skills.

And experience what it is like to be part of a project team working across disciplinary boundaries within the transport sector. Through this, gain insights into how modelling, environmental science, planning, economics and engineering can work together to develop sustainable solutions to global challenges. This industry-inspired approach will enable you to apply your knowledge to real-world issues in the field.

Your colleagues will be among the best and brightest from the UK and across the globe. Together you will learn mathematical modelling skills that can be applied to design smarter transport solutions founded on robust methods.

With a strong focus on industry needs, our degrees will prepare you for employment in your chosen field. They will also address the multi-disciplinary nature of transport – enabling you to make effective decisions for clients, employers and society.

Other Study Options

This programme is available part time, allowing you to combine study with other commitments. You can work to fund your studies, or gain a new qualification without giving up an existing job. We aim to be flexible in helping you to put together a part-time course structure that meets your academic goals while recognising the constraints on your study time.

You can also study this subject at Postgraduate Diploma level, part time or full time, or at Postgraduate Certificate level with our PGCert in Transport Studies.

Course content

Alongside specialist modules, study common modules that will address key issues currently facing transport industry professionals. These provide you with a holistic overview of transport problems and approaches to policy formulation.

Our new Transport Integrated Project module enables you to employ project management scenario-based learning. You will cover a range of transport disciplines and be supervised by experts in the field. Join forces with a project team of other students from our other degrees to develop a solution to a ‘real-world’ transport problem, identifying how your own interests need to interact effectively with others to achieve an effective solution.

You will learn about the methods and models used in transport analysis and the software packages that implement them. You will be trained to think creatively, beyond the standard application of established ‘solutions’ and learn how to use your technical expertise as a mathematical modeller in interdisciplinary teams. Being equipped with these skills will open up a range of future career paths, whether in government, consultancy, academia or going on to further study.

The core of the programme includes the following compulsory modules, which have been designed together to enhance the learning potential of this programme:

  • Concepts and Mathematics for Modelling Transport – examines how transport systems can be modelled and the methods, assumptions, tools and algorithms involved (Semester 1).
  • Transport Modelling in Practice – applies the theory covered above to realistic example scenarios. Includes use of state-of-the-art commercial software (Semester 1).
  • Transport Data Science – how to manage, interrogate and visualise ‘big data’, and incorporate it into transport modelling (Semester 2).

Course structure

Compulsory modules

  • Shaping Future Transport Systems 15 credits
  • Concepts and Mathematics for Modelling Transport Systems 30 credits
  • Transport Data Science 15 credits
  • Transport Modelling In Practice 15 credits
  • Transport Dissertation 60 credits
  • Transport Integrated Project 15 credits

For more information on typical modules, read Mathematical Modelling for Transport MSc Full Time in the course catalogue

For more information on typical modules, read Mathematical Modelling for Transport MSc Part Time in the course catalogue

Learning and teaching

The programme involves a range of teaching methods, supported by independent learning. In addition to the traditional lecture and seminar formats, students experience a blend encompassing workshops, computer exercises, practical sessions, directed reading, reflective journal, student-led discussions and tutorials.

Assessment

Assessment is equally varied and will include coursework essays, case-study reports, group assignments, posters, presentations and exams.

Career opportunities

Links with Industry

This programme was developed in consultation with practitioners in the transport modelling sector, to ensure that its graduates will be highly employable. Many consultancies, local authority planning departments and other organizations in the transport industry have expressed interest in this new programme.

Jacobs, one of the world's leading professional services firms, has pledged their support for this new course by offering two prizes for academic excellence, a commitment to engage with students through lectures and workshops, and an invitation to students on the course to attend the Summer Placements they run each year around the UK.

Many of Jacobs' current Directors and Senior Professionals are ITS Alumni and this year it made offers to six of our Transport Masters students.



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This programme is designed to train aspiring research scientists and budding IT professionals who wish to rely on numerical proficiency to further their career goals. Read more
This programme is designed to train aspiring research scientists and budding IT professionals who wish to rely on numerical proficiency to further their career goals. The programme consists of a training aspect of taught components (3 modules approximately during the first 3 months) and a significant interdisciplinary research project centered towards computational mathematics (9 months)

Research topics are chosen by students from a list of topics mirroring the computational expertise of the Mathematics group and the newly founded Systems Analytics Research Institute at Aston, with Computationally oriented projects in for example, biology, optimization, pattern analysis and physics as well as finance. The projects are supervised by academics from the Mathematics group and the Systems Analytics Research Institute at Aston.

The MSc integrates a taught component of three modules over approximately three months (30 credits) with a substantial individual research project lasting nine months (150 credits)

Core modules:
-Computational Mathematics (10 Credits)
-Research skills and Professional Development (10 Credits)
-Specialist/Technical Research Skills (10 Credits)

Exemption from these modules may be arranged through APL or APEL, provided this is done prior to enrolment.

Personal Development

Students will have the opportunity to carry out a research project in collaboration with industry and through this learn about the application context of technology and the interaction between research and business.

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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Mathematics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Mathematics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc Mathematics course has been designed for students who wish to build on their BSc, extending their range of mathematics expertise across a broader spread of topics, and demonstrating their literature research skills through an extended dissertation.

Such a qualification will mark graduates out as having a broader and deeper understanding of mathematics, and the skills required to pursue a significant project with a high level of independence, presenting their results in a written report. This will give MSc Mathematics graduates an edge in the ever more competitive jobs market.

On the Mathematics course you will study different elements of mathematics in a broad sense - including mathematical elements of computing if desired - in addition to developing your research, project management, and written communication skills through a project you will undertake. As a student of MSc in Mathematics, you will be fully supported to ensure that your project further develops an excellent foundation for your future career plans.

Modules

Modules on the MSc Mathematics include:

• Algebraic coding theory

• Biomathematics

• Black-Scholes theory

• Data science

• Differential geometry

• Fourier analysis

• Ito calculus

• Lie theory

• Numerical analysis

• Partial differential equations

• Stochastic processes

• Statistical mechanics

• Topology

Please visit our website for a full description of modules for the MSc Mathematics.

On top of the Mathematics modules you study, you will also complete a dissertation as part of your studies.

Facilities

The Aubrey Truman Reading Room, located in the centre of the Department of Mathematics, houses the departmental library and computers for student use. It is a popular venue for students to work independently on the regular example sheets set by their lecturers, and to discuss Mathematics together.

Our main university library, Information Services and Systems (ISS), contains a notably extensive collection of Mathematics books.

Mathematics students will benefit from the £31m Computational Foundry for computer and mathematical sciences which will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

Careers

The ability to think rationally and to process data clearly and accurately are highly valued by employers. Mathematics graduates earn on average 50% more than most other graduates. The most popular areas are the actuarial profession, the financial sector, IT, computer programming and systems administration, and opportunities within business and industry where employers need mathematicians for research and development, statistically analysis, marketing and sales.

Some of our Mathematics students have been employed by AXA, BA, Deutsche Bank, Shell Research, Health Authorities and Local Government. Teaching is another area where Mathematics graduates will find plenty of career opportunities.

Research

The results of the Research Excellence Framework (REF) 2014 show that our research environment (how the Department supports research staff and students) and the impact of our research (its value to society) were both judged to be 100% world leading or internationally excellent.

All academic staff in Mathematics are active researchers and the department has a thriving research culture.

http://www.swansea.ac.uk/postgraduate/taught/science/mscmathematics/

Student Profile

"Further to my studies at Swansea University as a Master of Science graduate in Financial Mathematics, I am currently working at Deutsche Bank in London as part of the Structured Financial Services team providing client services for corporate lending and debt portfolios. The complex nature of the Mathematics course has helped me become a logical decision maker and a highly skilled problem solver. These transferable skills are very useful in the world of Finance since the role is highly challenging working towards deadlines and structured transaction targets. My studies at Swansea University have also enriched me with leadership, motivational skills and have enhanced my communication skills. I work in a close team of 10 people within a large department which encourages a culture that strives towards learning and effective teamwork. I thoroughly enjoyed my time at Swansea University and cherish the many fond memories. I am so pleased to be expanding my horizon within a major financial centre."

Rhian Ivey, BSc Mathematics, MSc Mathematics and Computing for Finance



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Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability. Read more
Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability.

With this MSc, students are fully embedded within an engineering faculty, benefiting from unrivalled access to a broad range of industrial collaborations and pioneering research.

Spanning engineering, mathematics and computer science, this programme would suit graduates from any related discipline who would like to become versatile at solving multi-disciplinary challenges.

Upon completion, you will meet the increasing demand from the industrial, government and service sectors for maths-savvy graduates who can work across traditional boundaries and drive high-tech innovation. From designing formula one cars, to biomedicine and development of renewable energy technologies, our engineering graduates go on to a wide range of exciting careers.

Programme structure

The units are organised around three key strands: engineering, computational science and mathematical and statistical training.

In order to tailor to the needs of the student, each strand is agreed based on previous experience and prior learning. Based on taught content, appropriate units are aligned with each strand.

Cross-references are carefully designed throughout the three stands to ensure that all graduates obtain a uniform level of background knowledge and appropriate specialisation.

Teaching consists of core units on:

- Applied statistics
- Artificial intelligence
- Engineering mathematics
- Nonlinear dynamics and chaos
- Numerical methods
- Optimisation theory and applications
- Partial differential equations

Real-world problem solving is integral to each unit and spans many different application areas - from robotics and social media to medicine and environmental modelling. Problems come from our industrial collaborators or address challenges in current research.

Having successfully completed the taught units, you will prepare a 60-credit MSc thesis during the summer term, to be submitted at the end of the academic year.

Careers

This programme provides a highly creative, challenging and enjoyable experience, which will be excellent preparation for your future career. It will give you the tools to be successful in a variety of careers, many of which enable you to apply your knowledge and skills.

Our extensive connections with industry, through collaborative research and consultancy, makes the MSc in Engineering Mathematics very relevant professionally. Many graduates from this department have gone on to work for companies that recruit mathematicians as well as engineers, such as Airbus, Goldman Sachs and Red Bull Racing.

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