University home > Unit and programme catalogues in 2016/17 > Programme catalogue > Faculty of Science > School of Mathematics > Statistics (MSc) > Specification
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Programme code | 2MATH004T |
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Programme type | Postgraduate Taught Degree |
Programme director(s) |
Jonathan Rougier
|
Faculty | Faculty of Science |
School/department | School of Mathematics |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Mode of study | Full Time |
Programme length | 1 years (full time) |
The primary aim of this programme is to form a bridge for strong students between undergraduate and PhD study, allowing them to increase the depth and breadth of their understanding in a range of topics in statistics and probability and develop their overall research perspective and vision before finalizing their research project. In particular, the aim is to develop their understanding of appropriate mathematical and statistical theory and equip them with the fundamental skills for the modelling and analysis of statistical problems, and use the research project to provide the opportunity for them to tackle a genuine statistical problem using a variety of theoretical, analytical, methodological and computational techniques as appropriate.
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
Formal lectures, seminars, individual tutorials and small group teaching, exercises, individual and group extended assignments, reading projects, computational and statistical practical laboratory classes, student presentations, research project. |
Methods of Assessment | |
Assessed course work, assignments, formal written examinations, project dissertation. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
---|---|
|
Formal lectures, seminars, individual tutorials and small group teaching, exercises, individual and group extended assignments, reading projects, computational and statistical practical laboratory classes, student presentations, research project. |
Methods of Assessment | |
Assessed course work, assignments, formal written examinations, project dissertation. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
---|---|
|
Formal lectures, seminars, individual tutorials and small group teaching, exercises, extended assignments, reading projects, computational and statistical practical laboratory classes, student presentations, research project. |
Methods of Assessment | |
Assessed course work, assignments, formal written examinations, project dissertation. |
Statement of expectations from the students at each level of the programme as it/they develop year on year.
Level M/7 - Postgraduate Certificate |
Evidence of appropriate understanding of statistical theory, methods, applications or computational techniques across a limited range of areas and units. |
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Level M/7 - Postgraduate Diploma |
As for the Certificate, but displaying a broader and deeper level of understanding of statistical theory, methods, applications and computational techniques across the full range of units assessed. |
Level M/7 - Postgraduate Masters |
As for the Diploma, plus additionally evidence of: - mastery of at least one area of mathematical statistics at a level approaching the current research literature; - the capacity for original work in mathematical statistics, either new research or a new synthesis of existing knowledge; - the capacity to show originality in tackling and solving problems. |
The intended learning outcome mapping document shows which mandatory units contribute towards each programme intended learning outcome.
For information on the admissions requirements for this programme please see details in the postgraduate prospectus at http://www.bristol.ac.uk/prospectus/postgraduate/ or contact the relevant academic department.
The normal minimum requirement is a 2.i Honours degree in Mathematics, or in Statistics, or in a subject with substantial Statistical and/or Mathematical content.
School of Mathematics Administration Team – math-info@bristol.ac.uk
Unit Name | Unit Code | Credit Points | Status | |
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Dissertation (MRes in Statistics) | MATHM6100 | 60 | Mandatory | AYEAR |
Students will take 120 credit points of taught units, including at least 90 credit points of level M units. Units to be taken will be those listed below plus other optional statistics units as agreed with the Director of the MRes. Exceptionally, students may be allowed to substitute units below (for example where the material has already been covered in their undergraduate programme) at the discretion of the Director of the MRes. As part of their optional units, students on a 1+3 MRes/PhD programme will normally take units delivered externally through the Academy for PhD Training in Statistics (a recently developed, ESPRC funded, national taught course centre for PhD students in the Mathematical Sciences) but tutored and assessed in Bristol. | ||||
Monte Carlo Methods | MATHM6001 | 10 | Optional | TB-1B |
Advanced Time Series | MATHM6003 | 10 | Optional | TB-2C |
Stochastic Optimisation | MATHM6005 | 10 | Optional | TB-2C |
Stochastic Processes | MATHM6006 | 10 | Optional | TB-1B |
Nonparametric Regression | MATHM6004 | 10 | Optional | TB-1A |
Theory of Inference 34 | MATHM0022 | 10 | Optional | TB-2D |
MSc Statistics | 180 |
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to exit from the programme with a postgraduate diploma or certificate.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
An award with Merit or Distinction is permitted for postgraduate taught masters, diplomas and certificates, where these are specifically named entry-level qualifications. An award with Merit or Distinction is not permitted for exit awards where students are required to exit the programme on academic grounds. An exit award with Merit or Distinction may be permitted where students are prevented by exceptional circumstances from completing the intended award.
The classification of the award in relation to the final programme mark is as follows:
Award with Distinction*: at least 65 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation. **Faculties retain discretion to increase these thresholds.
Award with Merit*: at least 60 out of 100 for the taught component overall and, for masters awards, at least 60 out of 100 for the dissertation. Faculties retain discretion to increase these thresholds.
* The MA in Law has separate regulations for awarding distinction and merit.
** For the award of Distinction, the Faculty of Engineering requires at least 70 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to choose, or be required, to leave at the postgraduate diploma or certificate stage.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
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