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- Doing a PhD
What Does a PhD in Maths Involve?Maths is a vast subject, both in breadth and in depth. As such, there’s a significant number of different areas you can research as a math student. These areas usually fall into one of three categories: pure mathematics, applied mathematics or statistics. Some examples of topics you can research are: - Number theory
- Numerical analysis
- String theory
- Random matrix theory
- Graph theory
- Quantum mechanics
- Statistical forecasting
- Matroid theory
- Control theory
Besides this, because maths focuses on addressing interdisciplinary real-world problems, you may work and collaborate with other STEM researchers. For example, your research topic may relate to: - Biomechanics and transport processes
- Evidence-based medicine
- Fluid dynamics
- Financial mathematics
- Machine learning
- Theoretical and Computational Optimisation
What you do day-to-day will largely depend on your specific research topic. However, you’ll likely: - Continually read literature – This will be to help develop your knowledge and identify current gaps in the overall body of knowledge surrounding your research topic.
- Undertake research specific to your topic – This can include defining ideas, proving theorems and identifying relationships between models.
- Collect and analyse data – This could comprise developing computational models, running simulations and interpreting forecasts etc.
- Liaise with others – This could take many forms. For example, you may work shoulder-to-shoulder with individuals from different disciplines supporting your research, e.g. Computer scientists for machine learning-based projects. Alternatively, you may need frequent input from those who supplied the data for your research, e.g. Financial institutions or biological research colleagues.
- Attend a wide range of lectures, seminars and events.
Browse PhD Opportunities in MathematicsApplication of artificial intelligence to multiphysics problems in materials design, study of the human-vehicle interactions by a high-end dynamic driving simulator, physical layer algorithm design in 6g non-terrestrial communications, machine learning for autonomous robot exploration, detecting subtle but clinically significant cognitive change in an ageing population, how long does it take to get a phd in maths. The average programme duration for a mathematics PhD in the UK is 3 to 4 years for a full-time studying. Although not all universities offer part-time maths PhD programmes, those that do have a typical programme duration of 5 to 7 years. Again, although the exact arrangement will depend on the university, most maths doctorates will require you to first register for an MPhil . At the end of your first year, your supervisor will assess your progress to decide whether you should be registered for a PhD. Additional Learning ModulesSome Mathematics departments will require you to enrol on to taught modules as part of your programme. These are to help improve your knowledge and understanding of broader subjects within your field, for example, Fourier Analysis, Differential Geometry and Riemann Surfaces. Even if taught modules aren’t compulsory in several universities, your supervisor will still encourage you to attend them for your development. Most UK universities will also have access to specialised mathematical training courses. The most common of these include Pure Mathematics courses hosted by Mathematics Access Grid Conferencing ( MAGIC ) and London Taught Course Centre ( LTCC ) and Statistics courses hosted by Academy for PhD Training in Statistics ( APTS ). What Are the Typical Entry Requirements for A PhD in Maths?In the UK, the typical entry requirements for a Maths PhD is an upper second-class (2:1) Master’s degree (or international equivalent) in Mathematics or Statistics [1] . However, there is some variation on this. From writing, the lowest entry requirement is an upper second-class (2:1) Bachelor’s degree in any math-related subject. The highest entry requirement is a first-class (1st) honours Master’s degree in a Mathematics or Statistics degree only. | | | 1st Class Honours Master’s degree. Degree must be in Mathematics or Statistics. | 2:1 Master’s degree in Mathematics, Statistics or a closely related subject. | 2:1 Bachelor’s degree in Mathematics, Statistics or a closely related subject. | It’s worth noting if you’re applying to a position which comes with funding provided directly by the Department, the entry requirements will usually be on the higher side because of their competitiveness. In terms of English Language requirements, most mathematics departments require at least an overall IELTS (International English Language Testing System) score of 6.5, with no less than 6.0 in each individual subtest. Tips to Consider when Making Your ApplicationWhen applying to any mathematics PhD, you’ll be expected to have a good understanding of both your subject field and the specific research topic you are applying to. To help show this, it’s advisable that you demonstrate recent engagement in your research topic. This could be by describing the significance of a research paper you recently read and outlining which parts interested you the most, and why. Additionally, you can discuss a recent mathematics event you attended and suggest ways in how what you learnt might apply to your research topic. As with most STEM PhDs, most maths PhD professors prefer you to discuss your application with them directly before putting in a formal application. The benefits of this is two folds. First, you’ll get more information on what their department has to offer. Second, the supervisor can better discover your interest in the project and gauge whether you’d be a suitable candidate. Therefore, we encourage you to contact potential supervisors for positions you’re interested in before making any formal applications. How Much Does a Maths PhD Typically Cost?The typical tuition fee for a PhD in Maths in the UK is £4,407 per year for UK/EU students and £20,230 per year for international students. This, alongside the range in tuition fees you can expect, is summarised below: | | | UK/EU Full-Time | £4,407 | £4,327 – £8,589 | UK/EU Part-Time | £2,204 | £2,164 – £4,295 | International Full-Time | £20,230 | £15,950 – £24,531 | International Part-Time | £10,115 | £7,975 – £12,266 | Note: The above tuition fees are based on 12 UK Universities [1] for 2020/21 Mathematic PhD positions. The typical fee has been taken as the median value. In addition to the above, it’s not unheard of for research students to be charged a bench fee. In case you’re unfamiliar with a bench fee, it’s an annual fee additional to your tuition, which covers the cost of specialist equipment or resources associated with your research. This can include the upkeep of supercomputers you may use, training in specialist analysis software, or travelling to conferences. The exact fee will depend on your specific research topic; however, it should be minimal for most mathematic projects. What Specific Funding Opportunities Are There for A PhD in Mathematics?Alongside the usual funding opportunities available to all PhD Research students such as doctoral loans, departmental scholarships, there are a few other sources of funding available to math PhD students. Examples of these include: You can find more information on these funding sources here: DiscoverPhDs funding guide . What Specific Skills Do You Gain from Doing a PhD in Mathematics?A doctorate in Mathematics not only demonstrates your commitment to continuous learning, but it also provides you with highly marketable skills. Besides subject-specific skills, you’ll also gain many transferable skills which will prove useful in almost all industries. A sample of these skills is listed below. - Logical ability to consider and analyse complex issues,
- Commitment and persistence towards reaching research goals,
- Outstanding verbal and written skills,
- Strong attention to detail,
- The ability to liaise with others from unique disciple backgrounds and work as part of a team
- Holistic deduction and reasoning skills,
- Forming and explaining mathematical and logical solutions to a wide range of real-world problems,
- Exceptional numeracy skills.
What Jobs Can You Get with A Maths PhD?One of the greatest benefits maths PostDocs will have is the ability to pursue a wide range of career paths. This is because all sciences are built on core principles which, to varying extents, are supported by the core principles of mathematics. As a result, it’s not uncommon to ask students what path they intend to follow after completing their degree and receive entirely different answers. Although not extensive by any means, the most common career paths Math PostDocs take are listed below: - Academia – Many individuals teach undergraduate students at the university they studied at or ones they gained ties to during their research. This path is usually the preferred among students who want to continue focusing on mathematical theories and concepts as part of their career.
- Postdoctoral Researcher – Others continue researching with their University or with an independent organisation. This can be a popular path because of the opportunities it provides in collaborative working, supervising others, undertaking research and attending conferences etc.
- Finance – Because of their deepened analytical skills, it’s no surprise that many PostDocs choose a career in finance. This involves working for some of the most significant players in the financial district in prime locations including London, Frankfurt and Hong Kong. Specific job titles can include Actuarial, Investment Analyst or Risk Modeller.
- Computer Programming – Some students whose research involves computational mathematics launch their career as a computer programmer. Due to their background, they’ll typically work on specialised projects which require high levels of understanding on the problem at hand. For example, they may work with physicists and biomedical engineers to develop a software package that supports their more complex research.
- Data Analyst – Those who enjoy number crunching and developing complex models often go into data analytics. This can involve various niches such as forecasting or optimisation, across various fields such as marketing and weather.
What Are Some of The Typical Employers Who Hire Maths PostDocs?As mentioned above, there’s a high demand for skilled mathematicians and statisticians across a broad range of sectors. Some typical employers are: - Education – All UK and international universities
- Governments – STFC and Department for Transport
- Healthcare & Pharmaceuticals – NHS, GSK, Pfizer
- Finance & Banking – e.g. Barclays Capital, PwC and J. P. Morgan
- Computing – IBM, Microsoft and Facebook
- Engineering – Boeing, Shell and Dyson
The above is only a small selection of employers. In reality, mathematic PostDocs can work in almost any industry, assuming the role is numerical-based or data-driven. How Much Can You Earn with A PhD in Maths?As a mathematics PhD PostDoc, your earning potential will mostly depend on your chosen career path. Due to the wide range of options, it’s impossible to provide an arbitrary value for the typical salary you can expect. However, if you pursue one of the below paths or enter their respective industry, you can roughly expect to earn [3] : Academic Lecturer - Approximately £30,000 – £35,000 starting salary
- Approximately £40,000 with a few years experience
- Approximately £45,000 – £55,000 with 10 years experience
- Approximately £60,000 and over with significant experience and a leadership role. Certain academic positions can earn over £80,000 depending on the management duties.
Actuary or Finance - Approximately £35,000 starting salary
- Approximately £45,000 – £55,000 with a few years experience
- Approximately £70,000 and over with 10 years experience
- Approximately £180,000 and above with significant experience and a leadership role.
Aerospace or Mechanical Engineering - Approximately £28,000 starting salary
- Approximately £35,000 – £40,000 with a few years experience
- Approximately £60,000 and over with 10 years experience
Data Analyst - Approximately £45,000 – £50,000 with a few years experience
- Approximately £90,000 and above with significant experience and a leadership role.
Again, we stress that the above are indicative values only. Actual salaries will depend on the specific organisation and position and responsibilities of the individual. Facts and Statistics About Maths PhD HoldersThe below chart provides useful insight into the destination of Math PostDocs after completing their PhD. The most popular career paths from other of highest to lowest is education, information and communication, finance and scientific research, manufacturing and government. Note: The above chart is based on ‘UK Higher Education Leavers’ data [2] between 2012/13 and 2016/17 and contains a data size of 200 PostDocs. The data was obtained from the Higher Education Statistics Agency ( HESA ). Which Noteworthy People Hold a PhD in Maths?Alan turing. Alan Turing was a British Mathematician, WW2 code-breaker and arguably the father of computer science. Alongside his lengthy list of achievements, Turning achieved a PhD in Mathematics at Princeton University, New Jersey. His thesis titled ‘Systems of Logic Based on Ordinals’ focused on the concepts of ordinal logic and relative computing; you can read it online here . To this day, Turning pioneering works continues to play a fundamental role in shaping the development of artificial intelligence (AI). Ruth LawrenceRuth Lawrence is a famous British–Israeli Mathematician well known within the academic community. Lawrence earned her PhD in Mathematics from Oxford University at the young age of 17! Her work focused on algebraic topology and knot theory; you can read her interesting collection of research papers here . Among her many contributions to Maths, her most notable include the representation of the braid groups, more formally known as Lawrence–Krammer representations. Emmy NoetherEmmy Noether was a German mathematician who received her PhD from the University of Erlangen, Germany. Her research has significantly contributed to both abstract algebra and theoretical physics. Additionally, she proved a groundbreaking theorem important to Albert Einstein’s general theory of relativity. In doing so, her theorem, Noether’s theorem , is regarded as one of the most influential developments in physics. Other Useful ResourcesInstitute of Mathematics and its Applications (IMA) – IMA is the UK’s professional body for mathematicians. It contains a wide range of useful information, from the benefits of further education in Maths to details on grants and upcoming events. Maths Careers – Math Careers is a site associated with IMA that provides a wide range of advice to mathematicians of all ages. It has a section dedicated to undergraduates and graduates and contains a handful of information about progressing into research. Resources for Graduate Students – Produced by Dr Mak Tomford, this webpage contains an extensive collection of detailed advice for Mathematic PhD students. Although the site uses US terminology in places, don’t let that put you off as this resource will prove incredibly helpful in both applying to and undertaking your PhD. Student Interviews – Still wondering whether a PhD is for you? If so, our collection of PhD interviews would be a great place to get an insider perspective. We’ve interviewed a wide range of PhD students across the UK to find out what doing a PhD is like, how it’s helped them and what advice they have for other prospective students who may be thinking of applying to one. You can read our insightful collection of interviews here . [1] Universities used to determine the typical (median) and range of entry requirements and tuition fees for 2020/21 Mathematics PhD positions. - http://www.lse.ac.uk/study-at-lse/Graduate/Degree-programmes-2020/MPhilPhD-Mathematics
- https://www.ox.ac.uk/admissions/graduate/courses/dphil-mathematics?wssl=1
- https://www.graduate.study.cam.ac.uk/courses/directory/mapmpdpms
- https://www.ucl.ac.uk/prospective-students/graduate/research-degrees/mathematics-mphil-phd
- http://www.bristol.ac.uk/study/postgraduate/2020/sci/phd-mathematics/
- https://www.surrey.ac.uk/postgraduate/mathematics-phd
- https://www.maths.ed.ac.uk/school-of-mathematics/studying-here/pgr/phd-application
- https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/mathematics-phd/
- https://www.sussex.ac.uk/study/phd/degrees/mathematics-phd
- https://www.manchester.ac.uk/study/postgraduate-research/programmes/list/05325/phd-pure-mathematics/
- https://warwick.ac.uk/study/postgraduate/research/courses-2020/mathematicsphd/
- https://www.exeter.ac.uk/pg-research/degrees/mathematics/
[2] Higher Education Leavers Statistics: UK, 2016/17 – Outcomes by subject studied – https://www.hesa.ac.uk/news/28-06-2018/sfr250-higher-education-leaver-statistics-subjects [3] Typical salaries have been extracted from a combination of the below resources. It should be noted that although every effort has been made to keep the reported salaries as relevant to Math PostDocs as possible (i.e. filtering for positions which specify a PhD qualification as one of their requirements/preferences), small inaccuracies may exist due to data availability. Browse PhDs NowJoin thousands of students. Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice. Mathematics InstituteMsc dissertations, mathematics dissertations. The MSc dissertation counts for 90 CATS - that is, half of the total MSc load. A dissertation is usually expository, collecting together results from several research papers into a coherent whole. Sometimes dissertations contain original research, and this is encouraged where appropriate. The general framework of a dissertation must be approved by the supervisor. This page may help to find staff members with interesting topics. The appropriate length for a dissertation will vary with the topic, the formatting, and whether or not it includes figures, etc. As a guide, most MSc dissertations are between 30 and 50 A4 pages, double spaced, with normal font size and margins. Longer dissertations are not necessarily better, and the marks obtained depend much more on the quality of the content (especially the mathematics) than on the number of words. It is essential that the dissertation is well presented. The dissertation should normally be produced in TEX or LaTEX. The package here is intended for PhD theses, but it can also be used for MSc dissertations. Suitable past dissertations are available for inspection. If you are in any doubt, please consult your supervisor or the Director of the MSc. Interdisciplinary Mathematics DissertationsFor MSc Interdisciplinary Mathematics candidates the above holds, although these dissertations may be longer if they contain many diagrams, data or programs for example. The level of sophistication of the mathematics used in the dissertation may be lower than that expected in a straight Mathematics MSc provided that the dissertation demonstrates a compensating degree of understanding of the role or appropriate use of the mathematics described. The mathematics in the dissertation should be correct, appropriate for the interdisciplinary topic under discussion, and should say something of scientific value. This page may help to find staff members in the math dept with interesting topics. Dissertation MarksThe dissertation is read by two internal examiners (including a supervisor) who report to the Examination Board. For MSc Interdisciplinary Mathematics dissertations, reports are generally requested from an internal examiner in each of the relevant departments to ensure sufficient interdisciplinary quality. Examiners are asked to discuss the dissertation under the headings: Accuracy and depth of understanding (40%); Level of difficulty and degree of originality (40%); Exposition (10%); Context/Literature Bibliography (10%). The marks are passed to the Examination Board. The external examiner reviews the dissertations and marks prior to the Examination Board meeting. The dissertation pass mark is 50% and students must pass the dissertation in order to pass the MSc. Submitting your Dissertation or Postgraduate Diploma ProjectThe submission deadline is 2nd September 2024. Submissions will be made via Moodle. Further details will be provided closer to the deadline. The name of the candidate's supervisor must be stated on the title page of the dissertation. The introduction to the dissertation should state clearly all sources used, and should pinpoint clearly any original passages claimed. The candidate should briefly describe how the sources were used and their relation to the dissertation. Acknowledgements should also appear, where appropriate, in the body of the dissertation. References with precise bibliographic details should be included. A dissertation will not be accepted if any reader (including one unfamiliar with the contents of the references cited) could gain a mistaken impression that expository material is the candidate's own original work. Good English style, with correct grammar and spelling, is expected. The books Writing Mathematics Well by L. Gillman, and How to Write Mathematics by N.E. Steenrod et al. (AMS 1973) are recommended. (Both can be found in the Library catalogue .) In addition, supervisors can often help by suggesting which published mathematical papers are good models of exposition, and which are not. Postgraduate Diploma ProjectThe expected standard in a Postgraduate Diploma is less than that for an MSc degree. If a candidate is recommended to transfer to the Postgraduate Diploma as a result of their examination results, the candidate will need to write a (Diploma) project rather than a dissertation. Students on the 2 year MSc course will submit a project at the end of their first year The Diploma project counts for 24 CATS (rather than 90 CATS for an MSc dissertation). It is usually an expository work describing a piece of mathematics (which may be related to material covered in lectures). Sometimes a project may involve numerical work or a guided exploration of some particular problem. The project should normally be about 10-20 pages long and should show that the candidate is capable of writing about mathematics in a coherent fashion. The general framework of the project must be approved by the supervisor. The project is marked against these criteria and not against that for the MSc. The shortcut to your shortlistMake your university search faster and less stressful. Get a personalised shortlist by selecting what matters to you. Popular universities- University of Kent
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Study Mathematics, why & how to studyAre you good with numbers do you want to develop a skillset that’s useful in various industries then a degree in mathematics could be for you.. What’s Mathematics?What mathematics degrees can you study, what do you need to get onto a mathematics degree, what topics does a mathematics degree cover, how will you be assessed, why study mathematics. - Are scholarships and bursaries available to students studying a Mathematics degree?
What do Mathematics graduates earn?What jobs can you get as a mathematics graduate, what are the postgraduate opportunities, similar subjects to mathematics, have any questions, looking for clearing advice. The Clearing concierge has the answers Mathematics covers three main areas – maths, statistics and operational research. Mathematicians are interested in numbers, shape, and space. They simplify complex problems, classify objects, and prove that certain phenomena must, can or can’t happen. Statistics is also driven by real-world problems. Statisticians examine data to help make predictions and decisions. This could be around drug efficacy or the likeliness of flooding, for instance. Operational research (OR) is also known as management science. It is the analysis of decision-making processes. Some of its more well-known areas include game theory and the analysis of voting systems. Take a look at the university league table for Mathematics . Undergraduate degrees in Mathematics include single honours. You can also study it as a joint honours with a wide range of other subjects. Examples of degrees: Mathematics BSc/BA/BMathThe BSc (Bachelor of Science) degree is the standard Mathematics degree. The BMath (Bachelor of Mathematics) is similar. The BA (Bachelor of Arts) has a more liberal arts focus, with a broader range of modules available. Find Mathematics courses . Actuarial Science and Mathematics BScThese degree courses tend to combine the study of mathematics, statistics and business. They help you get ready to work as a professional actuary. Search for Actuarial Science courses . Applied Mathematics BScThis degree helps you take theories of maths to apply them to real-world problems. Courses usually include plenty of computer and lab work. In the future, you could find work in fields like engineering, data analysis or technology. Look through Applied Mathematics courses . Mathematics, Operational Research, Statistics and Economics (MORSE) BMorse/MMorseThis interdisciplinary degree equips you with a specialist skillset. It prepares you for work where you apply quantitative and analytical methods to solve complex issues. The BMorse is undergraduate, whereas the MMorse includes an integrated master’s year. Find MORSE courses . Other optionsThere are many subject combinations you can study with maths. For instance: - Economics and Mathematics BSc
- French and Mathematics BA
- Mathematics and Philosophy BSc
Courses may include an integrated foundation year. Some offer opportunities for professional placements and studying abroad. Accelerated study and January start dates are often available too. See the top 10 universities for Mathematics . Entry requirements for a Mathematics degree range from 96–165 UCAS points. This could include the qualifications below: - A Levels: A*A*A–CCC (Further Maths is sometimes an essential requirement)
- BTECs: D*D*D*–MMM
- Scottish Highers: AAAAA–BBBC (Advanced Highers: AAB–AA)
- International Baccalaureate: 42–30
- Universities will usually ask that you have studied: maths at A Level (or equivalent). Physics is also desirable.
- Some degrees require a maths admissions test, such as TMUA (Test of Mathematics for University Admission), STEP (Sixth Term Examination Paper), MAT (Mathematics Admissions Test) or Advanced Extension Award (AEA)
- Interview required by some universities
Good to have- Research from books, journals, free lectures online, podcasts or the Maths Careers website (sponsored by the Institute of Mathematics and its Applications) to identify areas of interest
- Work experience in a finance-related role
- Participating in competitions or challenges such as the Senior Mathematical Challenge
- Volunteering to help teach a maths class or tutor a homework club
- STEM Summer schools, if eligible, such as UNIQ or Sutton Trust
- Entry requirements
- About UCAS points
- Alternatives to A Levels
Typical modules for courses in this subject include: - Algebraic and differential geometry
- Classical mechanics of particles
- Electromagnetism, quantum mechanics and fluid dynamics
- General relativity
- Geometry and dynamics
- Mathematical biology
- Mathematical philosophy
- Multivariate calculus and mathematical models
- Probability and statistics
- The mathematics of machine learning
- Theoretical and statistical mechanics
- Vector spaces
Read about: what is STEM? Assessment is mainly by written exam. Some modules may include a mixture of the following: - Poster presentation
- Project report
- Short written assignments
Mathematicians are needed in many professional contexts, from policymaking to medical research. Study the subject and your career could be involved in solving some of the world's many complex problems. Career-specific skills:- Knowledge of the fundamentals of mathematics and topics that could include data science, quantum mechanics, computational modelling, mathematical ecology and epidemiology
- Placements working in finance, statistics or modelling may be available on some courses
Transferable skills:- Communication
- Creative problem solving
- Decision making
- Logical reasoning and analytical skills
- Numeracy and IT skills
- Presentation
- Team working
Professional accreditation:- Degrees may be accredited by the Institute of Mathematics and its Applications (IMA). Accreditation leads towards Chartered Mathematician status (CMath)
- Degrees with statistics may be accredited by the Royal Statistical Society (RSS)
- Degrees with accountancy may offer accreditation with professional accountancy bodies. Accreditation leads to exemption from a range of professional accounting exams
- Five reasons to study Mathematics
Are scholarships and bursaries available to students studying a Mathematics degree? Some universities offer students specific scholarships, bursaries, or grants to encourage access. It’s worth seeing if you are eligible, how to apply, and what it covers e.g., materials, tuition fees and/or living costs. Mathematics graduates can expect an entry-level salary of between £20,000–£28,000. As your career progresses, your average salary will depend on the field you’ve entered. You could have an income of £55,000 as a senior actuarial analyst, or up to £156,500 as a chief actuary. If you become an operational researcher, you could earn from £40,000–£80,000 with experience. Read more on what graduates do and earn . Having specialist knowledge and skills will make you highly employable across many areas. Roles could include: - Business analyst
- Chartered accountant
- Data scientist
- Mathematical researcher
- Mathematician
- Radiation protection scientist
- Statistician
- Trainee actuary
- Careers with a Mathematics degree
Graduates with a Mathematics degree need to complete teacher training such as a PGCE if they wish to become a teacher. Other postgraduate study offers the chance to specialise. Examples of postgraduate degrees include: - Applied Statistics and Datamining PGDip/MSc
- Mathematical Modelling and Scientific Computing MSc
- Mathematics DPhil/MPhil/PhD
- Operational Research with Risk MSc
- Pure Mathematics MSc
- Find postgraduate courses for Mathematics
- Types of postgraduate degrees
Other subject areas that might appeal to you include: - Accounting & Finance
- Information Technology & Systems
- Physics & Astronomy
Search for undergraduate Mathematics courses now!If you’ve got any questions about studying Mathematics, you can email our experts at [email protected] . We’ll be happy to hear from you! - University rankings for Mathematics
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Dissertation in mathematicsThis module enables you to carry out a sustained, guided, independent study of a topic in mathematics. There’s a choice of topics, for example: algebraic graph theory; aperiodic tilings and symbolic dynamics; advances in approximation theory; history of modern geometry; interfacial flows and microfluidics; variational methods, and Riemann surfaces. Provided study notes, books, research articles, and original sources guide you. You must master the appropriate mathematics and present your work as a final dissertation. QualificationsM840 is a compulsory module in our: - MSc in Mathematics (F04)
- Credits measure the student workload required for the successful completion of a module or qualification.
- One credit represents about 10 hours of study over the duration of the course.
- You are awarded credits after you have successfully completed a module.
- For example, if you study a 60-credit module and successfully pass it, you will be awarded 60 credits.
OU | Postgraduate | SCQF | 11 | FHEQ | 7 | Find out more about entry requirements . What you will studyThe list of topics available varies each year. We’ll let MSc in Mathematics students know the available topics that October in the spring, before the module starts. Recently available topics have included: - Advances in approximation theory
- Algebraic graph theory
- Aperiodic tilings and symbolic dynamics
- History of modern geometry
- Interfacial flows and microfluidics
- Riemann surfaces
- Variational methods.
Please note: - Since the available topics vary from year to year, check that we are offering the topic you wish to study before registering.
- For staffing reasons, you might not be able to study your preferred topic. Therefore, we’ll ask you for your first and second choice. We can usually offer you one of your choices, although this cannot be guaranteed.
You will learnSuccessful study of this module should enhance your skills in understanding complex mathematical texts, working on open-ended problems and communicating mathematical ideas clearly. Teaching and assessmentSupport from your tutor. Throughout your module studies, you’ll get help and support from your assigned module tutor. They’ll help you by: - Marking your assignments (TMAs) and providing detailed feedback for you to improve.
- Guiding you to additional learning resources.
- Providing individual guidance, whether that’s for general study skills or specific module content.
The module has a dedicated and moderated forum where you can join in online discussions with your fellow students. There are also online module-wide tutorials. While these tutorials won’t be compulsory for you to complete the module, you’re strongly encouraged to take part. If you want to participate, you’ll likely need a headset with a microphone. The assessment details can be found in the facts box. Course work includes Tutor-marked assignments (TMAs) Future availabilityDissertation in mathematics (M840) starts once a year – in October. This page describes the module that will start in October 2024. We expect it to start for the last time in October 2029. RegulationsEntry requirements. You must have passed four modules from the MSc in Mathematics (F04) . If you’ve passed only three modules, you may request exceptional permission to take M840 alongside another module. Additionally: - To study the ‘Advances in approximation theory’ topic, you should have passed Advanced mathematical methods (M833) or the discontinued module M832.
- To study the ‘Variational methods applied to eigenvalue problems’ topic, you should have passed Calculus of variations and advanced calculus (M820) .
- To study the ‘Riemann surfaces’ topic, you should have a Grade 1 or 2 pass a course in Complex analysis (M337) or an equivalent course.
All teaching is in English and your proficiency in the English language should be adequate for the level of study you wish to take. We strongly recommend that students have achieved an IELTS (International English Language Testing System) score of at least 7. To assess your English language skills in relation to your proposed studies you can visit the IELTS website. Start | End | England fee | Register | 05 Oct 2024 | Jun 2025 | £1360.00 | Registration closes 05/09/24 (places subject to availability) | This module is expected to start for the last time in October 2029. |
Additional costsStudy costs. There may be extra costs on top of the tuition fee, such as set books, a computer and internet access. Study eventsThis module may have an optional in-person study event. We’ll let you know if this event will take place and any associated costs as soon as we can. Ways to pay for this moduleWe know there’s a lot to think about when choosing to study, not least how much it’s going to cost and how you can pay. That’s why we keep our fees as low as possible and offer a range of flexible payment and funding options, including a postgraduate loan, if you study this module as part of an eligible qualification. To find out more, see Fees and funding . Study materialsWhat's included. You’ll have access to a module website, which includes: - a week-by-week study planner
- course-specific module materials
- audio and video content
- assessment details and submission section
- online tutorial access.
You will needSome topics require specific books. We’ll let you know which once your topic is confirmed. Computing requirementsYou’ll need broadband internet access and a desktop or laptop computer with an up-to-date version of Windows (10 or 11) or macOS Ventura or higher. Any additional software will be provided or is generally freely available. To join in spoken conversations in tutorials, we recommend a wired headset (headphones/earphones with a built-in microphone). Our module websites comply with web standards, and any modern browser is suitable for most activities. Our OU Study mobile app will operate on all current, supported versions of Android and iOS. It’s not available on Kindle. It’s also possible to access some module materials on a mobile phone, tablet device or Chromebook. However, as you may be asked to install additional software or use certain applications, you’ll also require a desktop or laptop, as described above. If you have a disabilityThe material contains small print and diagrams, which may cause problems if you find reading text difficult. Adobe Portable Document Format (PDF) versions of printed material are available. Some Adobe PDF components may not be available or fully accessible using a screen reader and mathematical materials may be particularly difficult to read in this way. Alternative formats of the study materials may be available in the future. To find out more about what kind of support and adjustments might be available, contact us or visit our disability support pages . Request your prospectusOur prospectuses help you choose your course, understand what it's like to be an OU student and register for study. Request prospectus The Open University- Study with us
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© . . . Where do you live?Please tell us where you live so that we can provide you with the most relevant information as you use this website. If you are at a BFPO address please choose the country or region in which you would ordinarily be resident. We use cookies on reading.ac.uk to improve your experience, monitor site performance and tailor content to you Read our cookie policy to find out how to manage your cookie settings This site may not work correctly on Internet Explorer. We recommend switching to a different browser for a better experience. Mathematics MSc dissertationsThe Department of Mathematics and Statistics was host until 2014 to the MSc course in the Mathematics of Scientific and Industrial Computation (previously known as Numerical Solution of Differential Equations) and the MSc course in Mathematical and Numerical Modelling of the Atmosphere and Oceans. A selection of dissertation titles are listed below, some of which are available online: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 2014: Mathematics of Scientific and Industrial ComputationAmanda Hynes - Slow and superfast diffusion of contaminant species through porous media 2014: Applicable and Numerical MathematicsEmine Akkus - Estimating forecast error covariance matrices with ensembles Rabindra Gurung - Numerical solution of an ODE system arising in photosynthesis 2013: Mathematics of Scientific and Industrial ComputationZeinab Zargar - Modelling of Hot Water Flooding as an Enhanced Oil Recovery Method Siti Mazulianawati Haji Majid - Numerical Approximation of Similarity in Nonlinear Diffusion Equations 2013: Mathematical and Numerical Modelling of the Atmosphere and OceansYu Chau Lam - Drag and Momentum Fluxes Produced by Mountain Waves Josie Dodd - A Moving Mesh Approach to Modelling the Grounding Line in Glaciology 2012: Mathematics of Scientific and Industrial ComputationChris Louder - Mathematical Techniques of Image Processing Jonathan Muir - Flux Modelling of Polynyas Naomi Withey - Computer Simulations of Dipolar Fluids Using Ewald Summations 2012: Mathematical and Numerical Modelling of the Atmosphere and OceansJean-Francois Vuillaume - Numerical prediction of flood plains using a Lagrangian approach 2011: Mathematics of Scientific and Industrial ComputationTudor Ciochina - The Closest Point Method Theodora Eleftheriou - Moving Mesh Methods Using Monitor Functions for the Porous Medium Equation Melios Michael - Self-Consistent Field Calculations on a Variable Resolution Grid 2011: Mathematical and Numerical Modelling of the Atmosphere and OceansPeter Barnet - Rain Drop Growth by Collision and Coalescence Matthew Edgington - Moving Mesh Methods for Semi-Linear Problems Samuel Groth - Light Scattering by Penetrable Convex Polygons Charlotte Kong - Comparison of Approximate Riemann Solvers Amy Jackson - Estimation of Parameters in Traffic Flow Models Using Data Assimilation Bruce Main - Solving Richards' Equation Using Fixed and Moving Mesh Schemes Justin Prince - Fast Diffusion in Porous Media Carl Svoboda - Reynolds Averaged Radiative Transfer Model 2010: Mathematics of Scientific and Industrial ComputationTahnia Appasawmy - Wave Reflection and Trapping in a Two Dimensional Duct Nicholas Bird - Univariate Aspects of Covariance Modelling within Operational Atmospheric Data Assimilation Michael Conland - Numerical Approximation of a Quenching Problem Katy Shearer - Mathematical Modelling of the regulation and uptake of dietary fats Peter Westwood - A Moving Mesh Finite Element Approach for the Cahn-Hilliard Equation Kam Wong - Accuracy of a Moving Mesh Numerical Method applied to the Self-similar Solution of Nonlinear PDEs 2010: Mathematical and Numerical Modelling of the Atmosphere and OceansJames Barlow - Computation and Analysis of Baroclinic Rossby Wave Rays in the Atlantic and Pacific Oceans Martin Conway - Heat Transfer in a Buried Pipe Simon Driscoll - The Earth's Atmospheric Angular Momentum Budget and its Representation in Reanalysis Observation Datasets and Climate Models George Fitton - A Comparative Study of Computational Methods in Cosmic Gas Dynamics Continued Fay Luxford - Skewness of Atmospheric Flow Associated with a Wobbling Jetstream Jesse Norris - A Semi-Analytic Approach to Baroclinic Instability on the African Easterly Jet Robert J. Smith - Minimising Time-Stepping Errors in Numerical Models of the Atmosphere and Ocean Amandeep Virdi - The Influence of the Agulhas Leakage on the Overturning Circulation from Momentum Balances 2009: Mathematics of Scientific and Industrial ComputationCharlotta Howarth - Integral Equation Formulations for Scattering Problems David Fairbairn - Comparison of the Ensemble Transform Kalman Filter with the Ensemble Transform Kalman Smoother Mark Payne - Mathematical Modelling of Platelet Signalling Pathways Mesh Generation and its application to Finite Element Methods Mary Pham - Mesh Generation and its application to Finite Element Methods Sarah Cole - Blow-up in a Chemotaxis Model Using a Moving Mesh Method 2009: Mathematical and Numerical Modelling of the Atmosphere and OceansDanila Volpi - Estimation of parameters in traffic flow models using data assimilation Dale Partridge - Analysis and Computation of a Simple Glacier Model using Moving Grids David MacLeod - Evaluation of precipitation over the Middle East and Mediterranean in high resolution climate models Joanne Pocock - Ensemble Data Assimilation: How Many Members Do We Need? Neeral Shah - Impact and implications of climate variability and change on glacier mass balance in Kenya Tomos Roberts - Non-oscillatory interpolation for the Semi-Lagrangian scheme Zak Kipling - Error growth in medium-range forecasting models Zoe Gumm - Bragg Resonance by Ripple Beds 2008: Mathematics of Scientific and Industrial ComputationMuhammad Akram - Linear and Quadratic Finite Elements for a Moving Mesh Method Andrew Ash - Examination of non-Time Harmonic Radio Waves Incident on Plasmas Cassandra Moran - Harbour modelling and resonances Elena Panti - Boundary Element Method for Heat Transfer in a Buried Pipe Juri Parrinello - Modelling water uptake in rice using moving meshes Ashley Twigger - Blow-up in the Nonlinear Schrodinger Equation Using an Adaptive Mesh Method Chloe Ward - Numerical Evaluation of Oscillatory Integrals Christopher Warner - Forward and Inverse Water-Wave Scattering by Topography 2008: Mathematical and Numerical Modelling of the Atmosphere and OceansFawzi Al Busaidi - Fawzi Albusaidi Christopher Bowden - A First Step Towards the Calculation of a Connectivity Matrix for the Great Barrier Reef Evangelia-Maria Giannakopoulou - Flood Prediction and Uncertainty Victoria Heighton - 'Every snowflake is different' Thomas Jordan - Does Self-Organised Criticality Occur in the Tropical Convective System? Gillian Morrison - Numerical Modelling of Tidal Bores using a Moving Mesh Rachel Pritchard - Evaluation of Fractional Dispersion Models 2007: Numerical solution of differential equationsTamsin Lee - New methods for approximating acoustic wave transmission through ducts (PDF 2.5MB) Lee Morgan - Anomalous diffusion (PDF-1.5MB) Keith Pham - Finite element modelling of multi-asset barrier options (PDF-3MB) Alastair Radcliffe - Finite element modelling of the atmosphere using the shallow water equations (PDF-2.5MB) Sanita Vetra - The computation of spectral representations for evolution PDE (PDF-3.2MB) 2007: Mathematical and numerical modelling of the atmosphere and oceansLaura Baker - Properties of the ensemble Kalman filter (PDF-3.8MB) Alison Brass - A moving mesh method for the discontinuous Galerkin finite element technique (PDF-916KB) Daniel Lucas - Application of the phase/amplitude method to the study of trapped waves in the atmosphere and oceans (PDF-1.1MB) Duduzile Nhlengethwa - Petrol or diesel (PDF-1MB) Rhiannon Roberts - Modelling glacier flow (PDF-406KB) David Skinner - A moving mesh finite element method for the shallow water equations (PDF-4.3MB) Jovan Stojsavljevic - Investigation of waiting times in non-linear diffusion equations using a moving mesh method (PDF-538KB) 2006: Numerical solution of differential equationsBonhi Bhattacharya - A moving finite element method for high order nonlinear diffusion problems Jonathan Coleman - High frequency boundary element methods for scattering by complex polygons Rachael England - The use of numerical methods in solving pricing problems for exotic financial derivatives with a stochastic volatility Stefan King - Best fits with adjustable nodes and scale invariance Edmund Ridley - Analysis of integral operators from scattering problems Nicholas Robertson - A moving Lagrangian mesh model of a lava dome volcano and talus slope 2006: Mathematical and numerical modelling of the atmosphere and oceansIain Davison - Scale analysis of short term forecast errors Richard Silveira - Electromagnetic scattering by simple ice crystal shapes Nicola Stone - Development of a simplified adaptive finite element model of the Gulf Stream Halina Watson - The behaviour of 4-D Var for a highly nonlinear system 2005: Numerical solution of differential equationsJonathan Aitken - Data dependent mesh generation for peicewise linear interpolation Stephen Arden - A collocation method for high frequency scattering by convex polygons Shaun Benbow - Numerical methods for american options Stewart Chidlow - Approximations to linear wave scattering by topography using an integral equation approach Philip McLaughlin - Outdoor sound propagation and the boundary element method Antonis Neochoritis - Numerical modelling of islands and capture zone size distributions in thin film growth Kylie Osman - Numerical schemes for a non-linear diffusion problem Shaun Potticary - Efficient evaluation of highly oscillatory integrals Martyn Taylor - Investigation into how the reduction of length scales affects the flow of viscoelastic fluid in parallel plate geometries Aanand Venkatramanan - American spread option pricing 2005: Mathematical and numerical modelling of the atmosphere and oceansRichard Fruehmann - Ageostrophic wind storms in the central Caspian sea Gemma Furness - Using optimal estimation theory for improved rainfall rates from polarization radar Edward Hawkins - Vorticity extremes in numerical simulations of 2-D geostrophic turbulence Robert Horton - Two dimensional turbulence in the atmosphere and oceans David Livings - Aspects of the ensemble Kalman filter David Sproson - Energetics and vertical structure of the thermohaline circulation 2004: Numerical solution of differential equationsRakhib Ahmed - Numerical schemes applied to the Burgers and Buckley-Leverett equations James Atkinson - Embedding methods for the numerical solution of convolution equations Catherine Campbell-Grant - A comparative study of computational methods in cosmic gas dynamics Paresh Prema - Numerical modelling of Island ripening Mark Webber - The point source methods in inverse acoustic scattering 2004: Mathematical and numerical modelling of the atmosphere and oceansOliver Browne - Improving global glacier modelling by the inclusion of parameterised subgrid hypsometry within a three-dimensional, dynamical ice sheet model Petros Dalakakis - Radar scattering by ice crystals Eleanor Gosling - Flow through porous media: recovering permeability data from incomplete information by function fitting . Sarah Grintzevitch - Heat waves: their climatic and biometeorological nature in two north american reigions Helen Mansley - Dense water overflows and cascades Polly Smith - Application of conservation laws with source terms to the shallow water equations and crowd dynamics Peter Taylor - Application of parameter estimation to meteorology and food processing 2003: Numerical solution of differential equationsKate Alexander - Investigation of a new macroscopic model of traffic flow Luke Bennetts - An application of the re-iterated Galerkin approximation in 2-dimensions Peter Spence - The Position of the free boundary formed between an expanding plasma and an electric field in differing geometries Daniel Vollmer - Adaptive mesh refinement using subdivision of unstructured elements for conservation laws 2003: Mathematical and numerical modelling of the atmosphere and oceansClare Harris - The Valuation of weather derivatives using partial differential equations Sarah Kew - Development of a 3D fractal cirrus model and its use in investigating the impact of cirrus inhomogeneity on radiation Emma Quaile - Rotation dominated flow over a ridge Jemma Shipton - Gravity waves in multilayer systems 2002: Numerical solution of differential equationsWinnie Chung - A Spectral Method for the Black Scholes Equations Penny Marno - Crowded Macroscopic and Microscopic Models for Pedestrian Dynamics Malachy McConnell - On the numerical solution of selected integrable non-linear wave equations Stavri Mylona - An Application of Kepler's Problem to Formation Flying using the Störmer-Verlet Method 2002: Mathematical and numerical modelling of the atmosphere and oceansSarah Brodie - Numerical Modelling of Stratospheric Temperature Changes and their Possible Causes Matt Sayer - Upper Ocean Variability in the Equatorial Pacific on Diurnal to Intra-seasonal Timescales Laura Stanton - Linearising the Kepler problem for 4D-var Data Assimilation 2001: Numerical solution of differential equationsR.B. Brad - An Implementation of the Box Scheme for use on Transcritical Problems D. Garwood - A Comparison of two approaches for the Approximating of 2-D Scattered Data, with Applications to Geological Modelling R. Hawkes - Mesh Movement Algorithms for Non-linear Fisher-type Equations P. Jelfs - Conjugate Gradients with Rational and Floating Point Arithmetic M. Maisey - Vorticity Preserving Lax-Wendroff Type Schemes C.A. Radcliffe - Positive Schemes for the Linear Advection Equation 2000: Numerical solution of differential equationsD. Brown - Two Data Assimilation Techniques for Linear Multi-input Systems. S. Christodoulou - Finite Differences Applied to Stochastic Problems in Pricing Derivatives. C. Freshwater - The Muskingum-Cunge Method for Flood Routing. S.H. Man - Galerkin Methods for Coupled Integral Equations. A. Laird - A New Method for Solving the 2-D Advection Equation. T. McDowall - Finite Differences Applied to Joint Boundary Layer and Eigenvalue Problems. M. Shahrill - Explicit Schemes for Finding Soliton Solutions of the Korteweg-de Vries Equation. B. Weston - A Marker and Cell Solution of the Incompressible Navier-Stokes Equations for Free Surface Flow. 1999: Numerical solution of differential equationsM. Ariffin - Grid Equidistribution via Various Algorithmic Approaches. S.J. Fletcher - Numerical Approximations to Bouyancy Advection in the Eddy Model. N.Fulcher - The Finite Element Approximation of the Natural Frequencies of a Circular Drum. V. Green - A Financial Model and Application of the Semi-Lagrangian Time-Stepping Scheme. D.A. Parry - Construction of Symplectic Runge-Kutta Methods and their Potential for Molecular Dynamics Application. S.C. Smith - The Evolution of Travelling Waves in a Simple Model for an Ionic Autocatalytic System P. Swain - Numerical Investigations of Vorticity Preserving Lax-Wendroff Type Schemes. M. Wakefield - Variational Methods for Upscaling. 1998: Numerical solution of differential equationsC.C. Anderson - A dual-porosity model for simulating the preferential movement of water in the unsaturated zone of a chalk aquifer. K.W. Blake - Contour zoning. M.R. Garvie - A comparison of cell-mapping techniques for basins of attraction. W. Gaudin - HYDRA: a 3-d MPP Eulerian hydrocode. D. Gnandi - Alternating direction implicit method applied to stochastic problems in derivative finance. J. Hudson - Numerical techniques for conservation laws with source terms. . H.S. Khela - The boundary integral method. K. Singh - A comparison of numerical schemes for pricing bond options. 1997: Numerical solution of differential equationsR.V. Egan - Chaotic response of the Duffing equation. A numerical investigation into the dynamics of the non-linear vibration equation. R.G. Higgs - Nonlinear diffusion in reservoir simulation. P.B. Horrocks - Fokker-Planck model of stochastic acceleration: a study of finite difference schemes. M.A. Wlasek - Variational data assimilation: a study. 1996: Numerical solution of differential equationsA. Barnes - Reaction-diffusion waves in an isothermal chemical system with a general order of autocatalysis. S.J. Leary - Mesh movement and mesh subdivision. S. McAllister - First and second order complex differential equations. R.K. Sadhra - Investigating dynamical systems using the cell-to-cell mapping. J.P. Wilson - A refined numerical model of sediment deposition on saltmarshes. 1995: Numerical solution of differential equationsM. Bishop - The modelling and analysis of the equations of motion of floating bodies on regular waves. J. Olwoch - Isothermal autocatalytic reactions with an immobilized autocatalyst. S. Stoke - Eulerian methods with a Lagrangian phase in gas dynamics. R. Coad - 1-D and 2-D simulations of open channel flows using upwinding schemes. 1994: Numerical solution of differential equationsM. Ali - Application of control techniques to solving linear systems of equations . M.H. Brookes - An investigation of a dual-porosity model for the simulation of unsaturated flow in a porous medium . A.J. Crossley - Application of Roe's scheme to the shallow water equations on the sphere . D.A. Kirkland - Huge singular values and the distance to instability. . B.M. Neil - An investigation of the dynamics of several equidistribution schemes . 1993: Numerical solution of differential equationsP.A. Burton - Re-iterative methods for integral equations . J.M. Hobbs - A moving finite element approach to semiconductor process modelling in 1-D. . L.M. Whitfield - The application of optimal control theory to life cycle strategies . S.J. Woolnough - A numerical model of sediment deposition on saltmarshes . 1992: Numerical solution of differential equationsI. MacDonald - The numerical solution of free surface/pressurized flow in pipes. . A.D. Pollard - Preconditioned conjugate gradient methods for serial and parallel computers. . C.J. Smith - Adaptive finite difference solutions for convection and convection-diffusion problems . 1991: Numerical solution of differential equationsK.J. Neylon - Block iterative methods for three-dimensional groundwater flow models . - Postgraduate study
- Postgraduate taught courses
MathematicsExplore this course:. Applications for 2024 entry are now open. Apply now or register your interest to hear about postgraduate study and events at the University of Sheffield. School of Mathematical and Physical Sciences , Faculty of Science Course descriptionThis one-year course is designed to help you build the foundations for a successful career in mathematics research. You'll have the freedom to choose from a variety of advanced lecture modules across pure and applied mathematics. Possible topics range from algebra, geometry and topology, to the ways that mathematics can be used in finance or studies of nature. You'll be able to get valuable mathematics research experience by working with an experienced mathematician on a dissertation topic of your choice. Throughout the course, you'll have lots of opportunities to improve your problem solving and presentation skills, and learn how to create persuasive and logical arguments. Specialist lectures have small class sizes so that they are more informal, with closer interactions between staff and students. We also have a directed reading module, individually tailored, to help you develop your understanding in the areas you're most interested in. You'll be supported through regular meetings with your academic supervisor. An open day gives you the best opportunity to hear first-hand from our current students and staff about our courses. You may also be able to pre-book a department/school visit as part of a campus tour. Open days and campus tours 1 year full-time You’ll be taught via a variety of lectures and small group seminars. Our assessment methods are designed to support the achievement of learning outcomes and develop your professional skills. This includes coursework, exams and a dissertation. Regular feedback is also provided, so you can understand your own development throughout the course. Your careerThe advanced topics you'll cover and the extensive research training make this course great preparation for a PhD. Sheffield maths graduates have secured postgraduate research positions at many of the world's top 100 universities. Mathematics graduates also develop numerical, problem solving and data analysis skills that are useful in many careers. This can help you stand out in job markets where maths graduates thrive, such as computing, banking and data science. Employers that have hired Sheffield maths graduates include Amazon, Barclays, Dell, Goldman Sachs, IBM, PwC, Sky, the NHS and the Civil Service. School of Mathematical and Physical Sciences The School of Mathematical and Physical Sciences is leading the way with groundbreaking research and innovative teaching. Our mathematicians and statisticians have expertise across pure mathematics, applied mathematics, probability and statistics. We focus on a variety of topics, from the most abstract questions in algebraic geometry and number theory, to the calculations behind infectious disease, black holes and climate change. In the Research Excellence Framework 2021, 96 per cent of our mathematical sciences research was rated in the highest two categories as world-leading or internationally excellent. We have strong links with the Society for Industrial and Applied Mathematics, the Institute of Mathematics and its Applications, the European Physical Society, and the International Society on General Relativity and Gravitation. With the support of the London Mathematical Society, we are also an organiser of the Transpennine Topology Triangle, a key focal point for topology research in the UK. Mathematics and statistics staff have received honours from the Royal Society, the Society for Mathematical Biology and the Royal Statistical Society, who also provide professional accreditation for our statistics courses. Student profilesThe course offered great flexibility in fields of mathematics I had not yet seenBradley Ashley PhD student, University of Sheffield, Mathematics MSc Bradley came to the University of Sheffield to do the Mathematics MSc, which prepared him for a PhD in pure mathematics. Entry requirementsMinimum 2:1 undergraduate honours degree with a substantial maths component. You can apply now using our Postgraduate Online Application Form. It's a quick and easy process. More information[email protected] Do They Do Dissertations, In The Open University Degrees?Quick ReplyRelated discussions. - Is there a possibility of doing fieldwork abroad as a linguistics undergrad?
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OMMS and Part C students are required to undertake a dissertation worth two units as part of their degree programme. This can be either a mathematics dissertation or a statistics dissertation. The dissertation will entail investigating a topic in an area of the Mathematical Sciences under the guidance of a dissertation supervisor. This will ...
Lastly, not many undergraduates in pure math do research because the gap they have to overcome between coursework and modern mathematics is pretty substantial. Those that make contributions in pure math are those that are very, very talented and have very thorough backgrounds (backgrounds that rival master's/PhD students).
Department of Mathematics. Science Center Room 325. 1 Oxford Street. Cambridge, MA 02138 USA. Tel: (617) 495-2171 Fax: (617) 495-5132. Department Main Office Contact. Web Site Contact. Digital Accessibility. Legacy Department of Mathematics Website.
The answer is yes, it is. In the UK, a master's degree will require you to do a dissertation in order to complete your full master's qualification. However, if you start a master's degree and are unable to do the dissertation, some universities will allow you to switch to a shorter postgraduate course, where you won't have to do the ...
For this reason, a Ph.D. dissertation involving some original research is a fundamental part of the program. The stages in this program may be described as follows: ... Non-native English speakers who have received a Bachelor's degree in mathematics from an institution where classes are taught in a language other than English may request to ...
The Department of Mathematics offers Bachelor's degrees in Mathematics, Applied Mathematics, and Secondary Education Mathematics. In addition to mastering specific mathematical content, mathematics majors develop excellent general skills in problem solving and precise analytical thinking. Graduates of the program are prepared for more ...
The Department of Mathematics offers Bachelor's degrees in Mathematics and Mathematics with Secondary Education option. A student's course of study can be tailored to suit a particular interest in pure mathematics, applied mathematics, mathematics teaching, or statistics. ... Theses/Dissertations from 2022 PDF. Relationships Between COVID ...
Theses/Dissertations from 2020. Mathematical Identities of Students with Mathematics Learning Dis/abilities, Emma Lynn Holdaway. Teachers' Mathematical Meanings: Decisions for Teaching Geometric Reflections and Orientation of Figures, Porter Peterson Nielsen. Student Use of Mathematical Content Knowledge During Proof Production, Chelsey Lynn ...
Summary. This course is compulsory for MMath students in Year 5. It may also be taken in Year 4 by BSc/MA students who wish to undertake a challenging dissertation at masters level. It may only be taken once and so should NOT be taken in Y4 by MMath students. The Mathematics dissertation is an opportunity to research a subject in depth under ...
History of Mathematics. Students wishing to do a dissertation based on the History of Mathematics are asked to contact Brigitte Stenhouse at [email protected] by Wednesday of week 1 with a short draft proposal. All decisions will be communicated to students by the end of week 2.
A selection of PhD theses and MSc dissertations are available for you to read: mathematics PhD theses. statistics PhD theses. mathematics MSc dissertations. Department of.
In the UK, the typical entry requirements for a Maths PhD is an upper second-class (2:1) Master's degree (or international equivalent) in Mathematics or Statistics [1]. However, there is some variation on this. From writing, the lowest entry requirement is an upper second-class (2:1) Bachelor's degree in any math-related subject.
As a guide, most MSc dissertations are between 30 and 50 A4 pages, double spaced, with normal font size and margins. Longer dissertations are not necessarily better, and the marks obtained depend much more on the quality of the content (especially the mathematics) than on the number of words. It is essential that the dissertation is well presented.
Our department offers Masters degrees in Mathematics, Applied Mathematics, and Statistics as well as a Ph.D. Degree in Mathematics, which can have an emphasis in any of the three areas mentioned. ... The M.S. in Data Science (MSDS) program is a professional, non-thesis degree that is jointly offered by the Mathematics and Computer Science ...
The dissertation must be word-processed and have a font size of 12pt. The text may be single spaced. The dissertation should have a title page which includes the following: { the title of the dissertation, { the candidate's examination number, { the title of the candidate's degree course, { the term and year of submission.
See the top 10 universities for Mathematics. What do you need to get onto a Mathematics degree? Must have. Entry requirements for a Mathematics degree range from 96-165 UCAS points. This could include the qualifications below: A Levels: A*A*A-CCC (Further Maths is sometimes an essential requirement) BTECs: D*D*D*-MMM
Dissertation in mathematics. This module enables you to carry out a sustained, guided, independent study of a topic in mathematics. There's a choice of topics, for example: algebraic graph theory; aperiodic tilings and symbolic dynamics; advances in approximation theory; history of modern geometry; interfacial flows and microfluidics ...
A selection of dissertation titles are listed below, some of which are available online: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991. 2014: Mathematics of Scientific and Industrial Computation. Amanda Hynes - Slow and superfast diffusion of contaminant species through porous ...
The advanced topics you'll cover and the extensive research training make this course great preparation for a PhD. Sheffield maths graduates have secured postgraduate research positions at many of the world's top 100 universities. Mathematics graduates also develop numerical, problem solving and data analysis skills that are useful in many careers.
Say "I taught myself Python in order to do the following for my thesis." The latter is more accurate, more informative, and not self-deprecating. ... If you have a degree in pure mathematics you shouldn't find it too hard to acquire skills in applied mathematics, statistics, and computer science. The biggest advantage a pure mathematician ...
All master's degrees have a research component. There are postgraduate diplomas which do not have a research component (i.e. just the taught part of the master's degree), but ultimately the entire purpose of higher education is the development of independent critical thought, no matter what the discipline (i.e. getting a doctor to the required level so they can practice safely on their own or ...
Hope this has made sense, thanks. (edited 12 years ago) Reply 1. 12 years ago. River85. No, not all students take a dissertation module in their final year, though most do. Other options including extended essays or short dissertations are common alternatives, particularly in Joint Honours programmes.
A. Blou17. Most named degrees have a compulsory project module. Doing a named OU degree not an easy way out of writing a dissertation.m If you want an "Open" degree then I guess you could skip the project component, but most level 3 courses will involved writing with a significant word count, in essay subjects. Reply 7.
Most do, but they're not always mandatory. Maths often doesn't. In STEM a lot of ppl don't depending on ur degree. For example I do a straight science and most ppl did an investigative honours project (experiment and then write up in scientific paper style) but u could do a diss if u wanted.