Ymchwil Weithrediadol, Ystadegaeth Gymhwysol a Risg Ariannol (MSc)
- Hyd: 3 blynedd
- Dull astudio: Rhan amser
Mae'r cynnwys hwn ar gael yn Saesneg yn unig.
Pam astudio’r cwrs hwn
Mae’r rhaglen wedi’i chynllunio i'ch arfogi â’r sgiliau, y dulliau a’r ffyrdd dadansoddol angenrheidiol o feddwl i daclo a dadansoddi problemau trefniadaethol cymhleth, i’w helpu i wneud gwell penderfyniadau ac i ddatblygu’n ddadansoddwyr ystadegol hyderus.
Our MSc in Operational Research, Applied Statistics and Financial Risk aims to equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts.
This course is ideal training for those who wish to study, in greater depth, risk models, particularly for application to financial markets but also to other sectors.
You will undertake case studies and project work which will give you the opportunity to put your skills into practice and provides valuable experience of working in the field. The dissertation project, typically undertaken with an industrial partner, will allow you to work with complex data in a creative manner and a problem-solving environment, as well as to communicate your ideas and findings effectively.
This part-time course is available over three years.
- This course will give you the opportunity to study risk models in greater depth, particularly those models used in financial markets.
- The skills you will develop are highly transferable for use within industry, business and the public sector
- The School of Mathematics has excellent links with a number of organisations who employ Operational Researchers, Statisticians and Financial / Risk Modellers
Meini prawf derbyn
Typically, you will need to have either:
- a 2:2 honours degree in a relevant subject area such mathematics, science, economics or engineering, or an equivalent international degree
- a university-recognised equivalent academic qualification
English Language requirements:
IELTS with an overall score of 6.5 with 6.0 in all subskills, or an accepted equivalent.
We allocate places on a first-come, first-served basis, so we recommend you apply as early as possible.
We will review your application and if you meet the entry requirements, we will make you an offer.
Rhagor o wybodaeth am ofynion Iaith Saesneg.
Mae'n rhaid i ymgeiswyr sydd angen Fisa myfyriwr i astudio yn y DU gyflwyno cymhwyster iaith Saesneg derbyniol er mwyn bodloni gofynion UKVI (Fisâu a Mewnfudo y DU).
You are not required to complete a DBS (Disclosure Barring Service) check or provide a Certificate of Good Conduct to study this course.
If you are currently subject to any licence condition or monitoring restriction that could affect your ability to successfully complete your studies, you will be required to disclose your criminal record. Conditions include, but are not limited to:
- access to computers or devices that can store images
- use of internet and communication tools/devices
- freedom of movement
- contact with people related to Cardiff University.
Strwythur y cwrs
As a part-time student you will typically need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks each year. You will usually complete the taught component of the programme over two years with up to a further year to complete the project dissertation.
The programme will prepare you with essential techniques in Operational Research and Applied Statistics, and then allow you to select from optional courses in topics such as supply chain modelling, healthcare, and Statistics and Operational Research for Government (delivered with input from the Office for National Statistics and Welsh Assembly Government).
You will have the opportunity to put the theory into practice, through case studies and project work in the ‘real-world’. An important feature of the MSc is the project dissertation, allowing you to work with an external company.
Mae'r modiwlau a ddangosir yn esiampl o'r cwricwlwm arferol. Byddant yn cael eu hadolygu cyn blwyddyn academaidd 2022/23. Bydd y modiwlau terfynol yn cael eu cyhoeddi erbyn mis Medi 2022.
If you are a part-time student, you will complete a number of core and optional modules in year one.
|Teitl modiwl||Côd modiwl||Credydau|
|Computational Methods||MAT004||10 credydau|
|Time Series and Forecasting||MAT005||10 credydau|
|Supply Chain Modelling||MAT006||10 credydau|
|Statistics and Operational Research in Government||MAT007||10 credydau|
|Healthcare Modelling||MAT009||10 credydau|
|Financial Mathematics and Modern Actuarial Risk Theory||MAT011||10 credydau|
|Credit Risk Scoring||MAT012||10 credydau|
|Foundations of Operational Research and Analytics||MAT021||20 credydau|
|Foundations of Statistics and Data Science||MAT022||20 credydau|
|Further Operational Research||MAT031||10 credydau|
|Stochastic Search and Optimisation||MAT061||20 credydau|
|Statistical Programming with R and Shiny||MAT514||10 credydau|
|Mathematical Methods for Data Mining||MAT700||10 credydau|
If you are a part-time student, you will complete any outstanding taught and optional modules in year two.
If you are a part-time student, you will complete your dissertation project in year three.
Mae'r Brifysgol wedi ymrwymo i ddarparu amrywiaeth eang o opsiynau modiwl lle’n bosibl. Ond byddwch yn ymwybodol er y byddwn yn gwneud pob ymdrech i gynnig dewis, gall hyn gael ei gyfyngu mewn rhai amgylchiadau. Y rheswm am hyn yw'r ffaith mai dim ond nifer cyfyngedig o leoedd sydd ar gael ar rai modiwlau, a gaiff eu dyrannu ar sail y cyntaf i'r felin. Mae'n ofynnol i fodiwlau eraill sicrhau isafswm nifer o fyfyrwyr cyn gallu eu cynnal, er mwyn gwneud yn siŵr y gellir cyflwyno addysg o ansawdd priodol. Gall modiwlau gael eu cyfyngu oherwydd gwrthdaro yn yr amserlen hefyd, ac er bod y Brifysgol yn ymdrechu i amharu cyn lleied â phosibl ar eich dewis, byddai'n syniad da i chi ofyn am gyngor gan yr Ysgol berthnasol am y dewisiadau modiwl sydd ar gael.
Dysgu ac asesu
Sut y caf fy addysgu?
The methods of teaching we employ will vary from module to module, as appropriate depending on the subject matter and the method of assessment. We teach using a mixture of lectures, seminars, computer workshops and tutorials.
You will apply the skills you develop through presentations, research assignments, case studies and the summer project.
Sut y caf fy asesu?
During the course your development will primarily be monitored via tutorial sheets, with other means where appropriate.
Written examinations, often in combination with an in-course element forms overall assessment.
Sut y caf fy nghefnogi?
All of our students are allocated a personal tutor when they enrol on the course. A personal tutor is there to support you during your studies, and can advise you on academic and personal matters that may be affecting you. You should have regular meetings with your personal tutor to ensure that you are fully supported.
You will have access to the Trevithick Library, which holds our collection of mathematical and computer science-related resources, as well as to the other Cardiff University Libraries.
We will provide you with a copy of the Student Handbook, which contains details of each School’s policies and procedures. We also support students through the University’s virtual learning environment, Learning Central, where you can ask questions in a forum or find course-related documents.
Cardiff University also offers a wide range of support services which are open to our students, such as the Graduate Centre, counselling and wellbeing, financial and careers advisors, the international office and the Student Union.
We offer written and oral feedback, depending on the coursework or assessment you have undertaken. You will usually receive your feedback from the module leader. If you have questions regarding your feedback, module leaders are usually happy to give advice and guidance on your progress. We aim to provide you with feedback in a timely manner after you have submitted an assessment.
Pa sgiliau y byddaf yn eu hymarfer a’u datblygu?
You will study a variety of problem-solving techniques, allowing you to build and use mathematical and statistical models, alongside skills to develop your abilities to communicate effectively to others.
This course has particular value in developing transferable skills including critical analysis and evaluation, the ability to undertake original and creative research, team working and the development of IT and presentational skills.
Ffioedd dysgu ar gyfer dechrau astudio yn 2022
As this programme is three years or over in duration and has a one year full time equivalent you will not be eligible for a postgraduate loan. The UK Government has more information about eligibility for postgraduate loans.
Myfyrwyr o'r DU
Myfyrwyr o'r UE, AEE a'r Swistir
Os ydych chi'n wladolyn o'r UE/AEE neu'r Swistir, oni bai eich bod yn gymwys i gael statws ffioedd y DU, bydd eich ffioedd dysgu yn unol â'r ffioedd a godir ar fyfyrwyr rhyngwladol. Mae UKCISA wedi darparu gwybodaeth am Brexit a ffioedd dysgu.
Myfyrwyr o weddill y byd (rhyngwladol)
Rhagor o wybodaeth am ffioedd dysgu a blaendaliadau, gan gynnwys ar gyfer myfyrwyr rhan-amser a pharhaus.
Gallai cymorth ariannol fod ar gael ar gyfer unigolion sy'n bodloni rhai meini prawf. Cewch ragor o wybodaeth yn ein hadran arian. Dim ond hyn a hyn o gymorth ariannol y gall y ffynonellau hyn eu cynnig, felly ni allwn warantu y bydd pawb sy'n bodloni'r meini prawf yn cael arian.
Rydym wedi ein lleoli yn un o ddinasoedd mwyaf fforddiadwy y DU. Rhagor o wybodaeth am gostau byw yng Nghaerdydd.
Gyrfaoedd a lleoliadau gwaith
This programme prepares you for a career in areas such as operational research, management science, statistics, risk analysis, financial modelling, actuarial risk and credit scoring, management consultancy, business analytics, supply chain management, government operational research /statistics.
Our School of Mathematics has well established and strong links with many employers of Operational Researchers and Applied Statisticians, who regularly offer projects and/or recruit our students.
Other course options
Data HESA: Hawlfraint yr Asiantaeth Ystadegau Addysg Uwch Cyfyngedig 2020. Ni all yr Asiantaeth Ystadegau Addysg Uwch Cyfyngedig dderbyn cyfrifoldeb am unrhyw gasgliadau neu benderfyniadau sy'n deillio o drydydd partïon o'i data. Daw’r data o Arolwg Hynt Graddedigion Diweddaraf 2017/18 a gyhoeddwyd gan HESA ym mis Mehefin 2020.