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.
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.
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
• Black-Scholes theory
• Data science
• Differential geometry
• Fourier analysis
• Ito calculus
• Lie theory
• Numerical analysis
• Partial differential equations
• Stochastic processes
• Statistical mechanics
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.
"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
Data Science enables organisations to uncover deep insights and gain a competitive edge by making sense of massive data sets.
This professional programme has been developed in partnership with world-leading, global data companies and is uniquely taught at their offices.
Designed specifically for professionals already working with data, the programme allows companies and individuals to acquire the skills necessary to meet sophisticated demands of deep insight generation, across any dataset.
Featuring intensive week-long residentials, this programme is ideal for working professionals, enabling graduate-level career development, without the risk of leaving your job.
The programme is flexible and can be delivered over 2 or 3 years, with assessment tailored to relevant projects in your company.
Introduction to data science; fundamentals of data science; from data to decisions; data in business and society. View website for more information: https://www.exeter.ac.uk/postgraduate/taught/datascience/msc-data-science/#Programme-structure
All modules are assessed by diverse assignments aligned with industry needs and expectations such as management style reports, project group activities and including group and individual presentations. Some assessments will be undertaken at residentials including more formal assessment types.
Energy supply is fundamentally important to our homes and workplaces. Future energy supply has to be stable, secure, not only affordable but sustainable, which makes energy supply a systems engineering problem. Energy Informatics is an emerging discipline that utilises powerful tools from modern information technology to analyse data from different energy systems and sources to solve energy supply problems.
Developed economies now face a number of challenges in procuring energy security and responding to energy pricing and affordability issues, as well as dealing with contributions to carbon emission targets. Due to the growth of sustainable and renewable energy production, energy informatics plays a significant role in managing the world's growing energy demand. Both developed and developing countries are facing great challenges in improvements in energy efficiency, reductions of greenhouse gas emissions and enlargements of renewable energy applications. For example, the UK Government has set ambitious targets to decrease the greenhouse gas emissions to 80% of today’s by 2050; the China Government has also planned to significantly reduce CO2 emissions to a level of 5,000 million tons in 2050, which is half of current emissions.
Through this course, you will develop professional informatics skills required in the growing energy sector, with essential abilities applicable in both the renewables industry (wind, geothermal and solar) and the traditional energy industry (oil and gas).
Students benefit from dedicated state-of-the-art facilities including unique engineering-scale facilities for the development of efficient technologies with low CO2 emissions. In addition to management, communication, team work and research skills, each student will attain at least the following learning outcomes from this degree course:
We have a world class reputation for our industrial-scale research and pilot-scale demonstration programmes in the energy sector. Close engagement with the energy and transport sectors over the last 20 years has produced long-standing strategic partnerships with the sectors most prominent players. The strategic links with industry ensures that all of the material taught on the course is relevant, timely and meets the needs of organisations competing within the energy sector. This industry-led education makes our graduates some of the most desirable in the world for energy companies to recruit.
You will be taught by industry-active research academics from Cranfield with an established track record, supported by visiting lecturers from industry. To ensure the programme is aligned to industry needs, the course is directed by its own Industrial Advisory Committee.
The taught programme for the Energy Informatics masters is generally delivered from October to February and is comprised of eight modules. The modules are delivered over one week of intensive delivery with a second week being free from structured teaching to allow time for more independent learning and reflection.
Students on the part-time programme will complete all of the modules based on a flexible schedule that will be agreed with the course director.
The group project is an applied, multidisciplinary, team-based activity. Often solving real-world, industry-based problems, students are provided with the opportunity to take responsibility for a consultancy-type project while working under academic supervision. Success is dependent on the integration of various activities and working within agreed objectives, deadlines and budgets. Transferable skills such as team work, self-reflection and clear communication are also developed.
The individual project is the chance for students to focus on an area of particular interest to them and their future career. Students select the individual project in consultation with the Thesis Co-ordinator, their allocated supervisor and their Course Director. These projects provides students with the opportunity to demonstrate their ability to carry out independent research, think and work in an original way, contribute to knowledge, and overcome genuine problems in the offshore industry. Many of the projects are supported by external organisations.
Taught modules 40%, group project 20% (or dissertation for part-time students), and individual project 40%.
To help students in finding and securing appropriate funding we have created a funding finder where you can search for suitable sources of funding by filtering the results to suit your needs. Visit the funding finder.
Graduates from this course will develop diverse and rewarding careers in the extremely promising energy sector. The international nature of this growing field would allow Cranfield graduates to develop careers all over the world.
If you are pursuing further study through continue education (PhD or MBA) in the energy sector, this programme would facilitated this through its international, interdisciplinary, project-oriented course design.