| Course Name |
Statistical Science & Operational Research - Research |
| Course Provider |
Queen's University Belfast |
| Course Code |
26870 (Assigned by Qualifax. Not an official code) |
| Course Type |
Postgraduate |
| Qualifications |
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| Apply To |
Course provider |
| Attendance Options |
Full time, Part time |
| Location (Districts) |
Belfast |
| Qualification Letters |
PhD/MPhil |
| Enrolment and Start Dates Comment |
Year of entry: 2017 |
| Application Date |
Postgraduate Research
There is no standard closing date. You should however check both the University’s website and refer to the relevant School/Institute webpage for information on deadline dates for postgraduate funding applications, as these will also determine when your application for admission should be submitted.
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| Application Weblink |
Web Page - Click Here |
| Duration |
Mode of study/Duration
Registration is on a full-time or part-time basis, under the direction of a supervisory team appointed by the University. You will be expected to submit your thesis at the end of three years of full-time registration for PhD, or two years for MPhil (or part-time equivalent).
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| Link to Course Fee |
Web Page - Click Here |
| Entry Requirements |
Expand+Entry Requirements
A research degree offers you the opportunity to develop your research skills and prove yourself as a researcher. Queen's is committed to the enhancement of research training and teaching and offers postgraduate research opportun...
Hide-Entry Requirements
A research degree offers you the opportunity to develop your research skills and prove yourself as a researcher. Queen's is committed to the enhancement of research training and teaching and offers postgraduate research opportunities across all fields of study. The following postgraduate research study routes for this subject area are:
•Doctor of Philosophy (PhD)
•Master of Philosophy (MPhil)
Entrance Requirements
The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider, or an equivalent qualification acceptable to the University. Further information can be obtained by contacting the School.
English Language Requirements
International students (where English is not their first language), must be able to demonstrate their proficiency in English. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes. Evidence of an IELTS* score of 6.0, with not less than 5.5 in any component (*taken within the last 2 years) is required. For more information on English Language requirements for EEA and non-EEA nationals see: go.qub.ac.uk/EnglishLanguageReqs
If you need to improve your English language skills before you enter this programme, our partner INTO Queen's University Belfast offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability to entry to this programme.
•English for University Study - an intensive English language and study skills course for successful university study at degree level.
•Pre-sessional English - a short intensive academic English course for students starting a degree programme at Queen's University Belfast and who need to improve their English.
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| Comment |
Special Features
The Centre for Statistical Science and Operational Research (CenSSOR) is a vibrant research centre, whose members have nurtured a strong research environment and team spirit. Work is enriched by the many collaborators from other research groups both regional and international, across the multidisciplinary areas and with fellow Statistical Science and Operational Research specialists, who visit and conduct research with the CenSSOR team on a regular basis. |
| Course Content |
Expand+Current research interests include:
•Bayesian networks and probabilistic graphical models
•Continuous and discrete optimisations
•Cost modelling and effectiveness analysis
•Decision trees, clustering, random forests and other aspects of data mi...
Hide-Current research interests include:
•Bayesian networks and probabilistic graphical models
•Continuous and discrete optimisations
•Cost modelling and effectiveness analysis
•Decision trees, clustering, random forests and other aspects of data mining
•Longitudinal data analysis
•Non-parametric estimation
•Simulation, real-time modelling
•Survival analysis, Markov modelling and stochastic processes
Research projects are focused on developing statistical and operational research techniques that can contribute to real-life applications. Further to the two main streams of research application in healthcare modelling and transportation systems, projects currently extend beyond this to application fields such as resource management, gene expression modelling, student progression modelling, GIS, risk, crime and financial market abuse.
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| Research Areas |
Research Strengths
Research strengths stem from a strong background and substantial grant income in health care research, in particular, the development of the discrete conditional phase-type models to predict patient stay and costs in hospital; the work on identification of patient characteristics interacting and impacting survival through the use of Bayesian networks and models to represent the flow of traffic in road networks. |
| Careers or Further Progression |
Career Prospects
Queen's postgraduates reap exceptional benefits. Unique initiatives, such as Degree Plus and Researcher Plus bolster our commitment to employability, while innovative leadership and executive programmes alongside sterling integration with business experts helps our students gain key leadership positions both nationally and internationally. |
| Further Enquiries |
If you have queries on course content please contact the school representative below.
Professor Adele Marshall
Director of Research Centre for Statistical Science and Operational Research (CenSSOR) School of Mathematics and Physics
Tel: 9097 1919
Email: a.h.marshall@qub.ac.uk
WWW: http://www.qub.ac.uk/schools/SchoolofMathematicsandPhysics/Research/CenSSOR
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| Course Web Page |
Web Page - Click Here |
| International Students |
Web Page - Click Here |