Masters degrees in Engineering / Industrial Mathematics are concerned with the application of mathematical principles in areas of engineering, industrial systems and mechanical processes.
Related postgraduate specialisms include Electronic Engineering, Space Engineering, and Mechanical Engineering. Entry requirements typically include a relevant undergraduate degree in a Mathematics subject.
This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results.
By the end of the course students should be able to formulate a well posed problem in mathematical terms from a possibly sketchy verbal description, carry out appropriate mathematical analysis, select or develop an appropriate numerical method, write a computer program which gives sensible answers to the problem, and present and interpret these results for a possible client. Particular emphasis is placed on the need for all these parts in the problem solving process, and on the fact that they frequently interact and cannot be carried out sequentially.
The course consists of both taught courses and a dissertation. To complete the course you must complete 13 units.
There are four core courses which you must complete (one unit each), which each usually consist of 24 lectures, classes and an examination. There is one course on mathematical methods and one on numerical analysis in both Michaelmas term and Hilary term. Each course is assessed by written examination in Week 0 of the following term.
Additionally, you must choose at least least one special topic in the area of modelling and one in computation (one unit each). There are around twenty special topics to choose from, spread over all three academic terms, each usually consisting for 12 to 16 lectures and a mini project, which culminates in a written report of around 20 pages. Topics covered include mathematical biology, fluid mechanics, perturbation methods, numerical solution of differential equations and scientific programming.
You must also undertake at least one case study in modelling and one in scientific computing (one unit each), normally consisting of four weeks of group work, an oral presentation and a report delivered in Hilary term.
There is also a dissertation (four units) of around 50 pages, which does not necessarily need to represent original ideas. Since there is another MSc focussed on mathematical finance specifically, the MSc in Mathematical and Computational Finance, you are not permitted to undertake a dissertation in this field.
You will normally accumulate four units in core courses, three units in special topics, two units in case studies and four units in the dissertation. In addition, you will usually attend classes in mathematical modelling, practical numerical analysis and additional skills during Michaelmas term.
In the first term, students should expect their weekly schedule to consist of around seven hours of core course lectures and seven hours of modelling, practical numerical analysis and additional skills classes, then a further two hours of lectures for each special topic course followed. In addition there are about three hours of problem solving classes to go through core course exercises and students should expect to spend time working through the exercises then submitting them for marking prior to the class. There are slightly fewer contact hours in the second term, but students will spend more time working in groups on the case studies.
In the third term there are some special topic courses, including one week intensive computing courses, but the expectation is that students will spend most of the third term and long vacation working on their dissertations. During this time, students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed. Students are expected to write special topic and case study reports during the Christmas and Easter vacations, as well as revising for the core course written examinations.
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.
Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
-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).
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.
You will be assessed through a combination of written reports, oral presentations, practical assignments and written examinations.
In an age of rapid technological development, Operations Research is an essential field. Offered with the Faculty of Science, this interdisciplinary programme is open to students with undergraduate backgrounds in arts, commerce, engineering or science.
Our graduates are in return, versatile. This research qualification develops your ability to solve problems, think critically, and adopt the fundamentals of the field: minimise risk, make organisations more effective, and ultimately, respond to ongoing demand in both public and private sectors.
The MOR is a research masters programme. You will have to complete a 120 point thesis, as carried out under the guidance of a supervisor, within the allocated timeframe.
Thesis submission dates for full-time students:
It is recommended that you consult a member of our academic staff about your proposed thesis topic beforehand.
Operations Research is an extensive, multidisciplinary field, allowing you to work in a variety of industries, particularly where big data is prominent – future career possibilities may even be tailored to your personal interests. Your advanced skills in self-directed research will additionally provide confidence to adapt to any new applications that may arise.
Jobs related to this programme
Further study options
The Master of Science in Mathematical Engineering is unique in Flanders and is supported by high quality research that has led to several spin-off companies.
The ever increasing computer capacity for treatment of data, storage of measurements and data, and computing models, offers solutions to important challenges in business and society. Often mathematical techniques are crucial. A few examples:
At first sight, these applications have little in common. However, for each of those, large amounts of data and various models are available. Mathematical techniques are crucial for the efficient treatment of these data and for fast and accurate simulation and optimisation.
The programme consists of a technical core education on advanced topics on mathematics, process control, system identification, numerical optimisation, numerical simulation of differential equations, scientific software, and a project where students solve a problem that requires a combination of knowledge and skills taught at the core education.
The students freely choose among the many elective courses. They are stimulated to select courses from different tracks in order to obtain a broad overview of techniques and applications of mathematics in engineering science.
The elective courses include technical courses on mathematical techniques, as well as courses that are taught in other Master’s programmes that focus on modelling and the use of these mathematical techniques.
The Erasmus+ programme gives you the opportunity to gain valuable international experience by completing (usually) one semester at a participating European university. Student exchange agreements are also in place with a number of Japanese and American universitiesThis arrangement does not lengthen the duration of your degree programme, nor does it result in a separate degree.
It is also possible to complete an internship at a company abroad. Ask the internship coordinator for more information.
These studying abroad opportunities and internships are complemented by the short courses offered via the Board of European Students of Technology (BEST) network. The Faculty of Engineering Science is also member of the international networks CESAER, CLUSTER and T.I.M.E.
You can find more information on this topic on the website of the Faculty.
The programme is generally perceived positively by alumni.
There are many elective courses, which gives freedom to develop an individual study programme tuned to the student’s interest. This fact is often mentioned by students and alumni as one of the strong points of the programme.
Since September 2014, the EC (Educational Committee) can rely on the expertise of the Industrial Advisory Board.
The programme is organised by the departments of computer science and electrical engineering. The students can use the computer infrastructure of both departments. The students become familiar with different fields of research which broadens their view.
This is an initial Master's programme and can be followed on a full-time or part-time basis.
Many small, dynamic, young companies are active in the field of mathematical engineering. But even big players in materials, chemistry, automotive, aerospace, biomedical industries, as well as finance, are increasingly interested in mathematical engineering thanks to the ever increasing complexity of mathematical models and more stringent environmental standards and comfort expectations. Many of our young graduates start their careers in the R&D departments of high-tech companies or matriculate into one of the university’s PhD programmes.
Visit the Institute for Transport Studies at our Masters Open Days.
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:
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.
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 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.
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)
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.
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/
"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
The ever-increasing importance in every engineering branch of modeling tools, i.e., virtual prototypes simulating complex physical and societal phenomena, requires a new generation of professionals able to exploit the full potential of the current simulation resources, possessing fundamentally different and innovative work proficiencies. The expertise of modeling engineers cannot be restricted to classical devices, tools, and instrumentation, but requires a deeper and systematic knowledge of the basic concepts of mathematical and numerical modeling, with a wider vision on the intimate inter-relationship between data, physical processes, and computational methods.
The Master degree in "Mathematical Engineering", offered by the University of Padova, captures the evolution of professional engineers proposing an advanced study program that combines both solid fundamental knowledge of the physical processes and deep theoretical and technological competences. This degree exposes the student to a multidisciplinary education lying between engineering and applied mathematics, providing the attendants with the ability to mold their expertise towards several specific disciplines, though still receiving a solid general-purpose engineering and modeling culture.
For this reason, the program contains both theoretical and applied research-oriented courses, with the aim of building an innovative, high-level engineer profile, characterized by a strong theoretical and scientific background on mathematical modeling tools, as well as, on general physical and financial sciences, together with advanced computational engineering expertise. The successful student will acquire advanced skills in the field of mathematical modeling of physical or financial processes, with specific interest in the formulation, validation, and critical use of models and in the fundamental interpretation of related quantitative results. The graduates in Mathematical Engineering will be able to effectively formulate complex engineering problems within a multidisciplinary framework, and transfer and discuss results with experts of different disciplines.
Please check: http://en.didattica.unipd.it/off/2017/LM/IN/IN2191
Graduates in Mathematical Engineering can find natural occupational opportunities in agencies operating in the research of innovative technological solutions and advanced design with the aid of virtual prototype systems. The development and use of computational models is attracting a growing number of applications from different technological and scientific fields, as well as in economic and financial sciences, including risk analysis, trading, and investments.
The graduates in Mathematical Engineering have the expertise profile to cover positions of high responsibility in research and development centers, consulting companies, both public and private, working in advanced technological fields of civil, environmental and industrial, engineering, information technology laboratories, financial institutions, banks, insurance companies, energy companies, or consulting firms. They are also perfectly targeted at research institutions, or the academia. Their added value is given by their training in an international and collaborative environment, as well as by a rich proficiency in English.
The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.
You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships
You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers
This programme has been developed in cooperation with University-Consortium in Science and Technology, BALTECH, and is simultaneously running in 4 universities in Sweden, Latvia, Lithuania and Estonia.
The programme focuses on the following topics: supply chain management, quality management, rapid product development, production planning and management, e-manufacturing and innovation. The key words of the present situation worldwide are production globalization, international and local cooperation and dynamic market. For those reasons, concepts as design, development and management of integrated systems of people, knowledge, equipment and materials are included in the curriculum.
The increasing competitiveness in global market highlights the importance of rapid product development, design quality, multi-company collaboration, optimal price levels and predictability.
This program aims to prepare engineers who will be experts not only in a particular field on engineering, but also have required skills for company management. Such concepts as design, development and managements on integration with people, knowledge, equipment and material are included in the curriculum of the program.
Graduates can work in every field, starting from manufacturing and ending with retail.
This programme aims to prepare engineers who will be experts in a particular field of engineering and have the required skills for company management. Graduates can work in every field, starting from manufacturing and ending with retail. Possible positions include Production Manager, Project Manager, Quality Manager and CEO.
