University home > Unit and programme catalogues in 2018/19 > Programme catalogue > Faculty of Science > School of Mathematics > Mathematical Sciences (MSc) > Specification
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Programme code | 2MATH019T |
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Programme type | Postgraduate Taught Degree |
Programme director(s) |
Jeremy Rickard
|
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 one-year programme consists of two teaching blocks of taught units followed by a project. It aims primarily to provide a flexible stand-alone programme for postgraduate study. A subsidiary 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 mathematics 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 theory and equip them with the fundamental skills for the modelling and analysis of problems, and use the research project to provide the opportunity for them to tackle a genuine 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, 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 and presentation. |
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 and presentation. |
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 and presentation. |
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 mathematical 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 mathematical 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 mathematics at a level approaching the current research literature; The capacity for original work in mathematics, 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.
Dr Carl Dettmann, Carl.Dettmann@bristol.ac.uk
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Research Project | MATHM6301 | 60 | Mandatory | AYEAR |
Students must choose a total of 120 credit points of units at levels 6(H) or 7(M) as specified below, including at least 90 credit points at level 7(M). Up to 40 credit points of level 6(H) or level 7(M) units may be chosen from other schools to support the training of the individual student and especially study related to the research project. These choices will be discussed on a case by case basis with the Programme Director and the students mentor and will be subject to approval by the School of Mathematics and the other School involved. | ||||
Level 6 Optional units | ||||
Bayesian Modelling | MATH30015 | 20 | Optional | TB-2 |
Calculus of Variations | MATH30005 | 10 | Optional | TB-2D |
Complex Function Theory | MATH33000 | 20 | Optional | TB-1 |
Complex Networks | MATH36201 | 20 | Optional | TB-1 |
Fields, Forms and Flows | MATH30018 | 20 | Optional | TB-1 |
Dynamical Systems and Ergodic Theory 3 | MATH36206 | 20 | Optional | TB-2 |
Financial Mathematics | MATH35400 | 20 | Optional | TB-2 |
Financial Risk Management | MATH30014 | 20 | Optional | TB-1 |
Fluid Dynamics 3 | MATH33200 | 20 | Optional | TB-1 |
Functional Analysis 3 | MATH36202 | 20 | Optional | TB-2 |
Further Topics In Probability 3 | MATH30006 | 20 | Optional | TB-2 |
Group Theory | MATH33300 | 20 | Optional | TB-1 |
Information Theory 3 | MATH34600 | 10 | Optional | TB-1B |
Introduction to Queueing Networks | MATH35800 | 10 | Optional | TB-1B |
Linear and Generalised Linear Models | MATH30013 | 20 | Optional | TB-1 |
Logic | MATH30100 | 20 | Optional | TB-2 |
Martingale Theory with Applications 3 | MATH36204 | 10 | Optional | TB-1A |
Mathematical Methods | MATH30800 | 20 | Optional | TB-2 |
Mechanics 23 | MATH31910 | 20 | Optional | TB-2 |
Measure Theory and Integration | MATH30007 | 20 | Optional | TB-1 |
Modern Mathematical Biology | MATH30004 | 10 | Optional | TB-1A |
Multivariate Analysis | MATH30510 | 10 | Optional | TB-2C |
Number Theory | MATH30200 | 20 | Optional | TB-2 |
Numerical Analysis 23 | MATH30010 | 20 | Optional | TB-2 |
Optimisation | MATH30017 | 20 | Optional | TB-2 |
Quantum Mechanics | MATH35500 | 20 | Optional | TB-1 |
Set Theory | MATH32000 | 20 | Optional | TB-1 |
Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
Random Matrix Theory | MATH30016 | 10 | Optional | TB-2C |
Statistical Mechanics | MATH34300 | 20 | Optional | TB-2 |
Theory of Inference | MATH35600 | 20 | Optional | TB-2 |
Topics in Discrete Mathematics 3 | MATH30002 | 10 | Optional | TB-2C |
Topics in Modern Geometry 3 | MATH30001 | 10 | Optional | TB-1A |
Level 7 Optional units | ||||
Advanced Fluid Dynamics | MATHM0600 | 20 | Optional | TB-1 |
Advanced Quantum Theory | MATHM0013 | 10 | Optional | TB-2C |
Advanced Topics in Analysis | MATHM0020 | 20 | Optional | TB-2 |
Algebraic Number Theory 4 | MATHM6205 | 20 | Optional | TB-2 |
Algebraic Topology | MATHM1200 | 20 | Optional | TB-1 |
Analytic Number Theory | MATHM0007 | 20 | Optional | TB-2 |
Anomaly Detection | MATHM0030 | 10 | Optional | TB-1B |
Asymptotics | MATHM4700 | 20 | Optional | TB-2 |
Axiomatic Set Theory | MATHM1300 | 20 | Optional | TB-1 |
Calculus of Variations | MATHM0015 | 10 | Optional | TB-2D |
Complex Function Theory (34) | MATHM3000 | 20 | Optional | TB-1 |
Complex Networks 4 | MATHM6201 | 20 | Optional | TB-1 |
Fields, Forms and Flows | MATHM0033 | 20 | Optional | TB-1 |
Dynamical Systems and Ergodic Theory 4 | MATHM6206 | 20 | Optional | TB-2 |
Financial Mathematics 34 | MATHM5400 | 20 | Optional | TB-2 |
Financial Time Series | MATHM0025 | 10 | Optional | TB-2D |
Functional Analysis 34 | MATHM6202 | 20 | Optional | TB-2 |
Further Topics In Probability 4 | MATHM0018 | 20 | Optional | TB-2 |
Galois Theory | MATHM2700 | 20 | Optional | TB-2 |
Introduction to Stochastic Analysis | MATHM0032 | 20 | Optional | TB-1 |
Lie groups, Lie algebras and their representations | MATHM0012 | 10 | Optional | TB-1A |
Martingale Theory with Applications 4 | MATHM6204 | 10 | Optional | TB-1 |
Modern Mathematical Biology | MATHM0014 | 10 | Optional | TB-1A |
Monte Carlo Methods | MATHM6001 | 10 | Optional | TB-1B |
Multivariate Analysis 34 | MATHM0510 | 10 | Optional | TB-2C |
Quantum Chaos | MATHM5700 | 10 | Optional | TB-1B |
Quantum Computation | MATHM0023 | 10 | Optional | TB-2C |
Quantum Information Theory | MATHM5610 | 10 | Optional | TB-1A |
Representation Theory | MATHM4600 | 20 | Optional | TB-1 |
Statistical Mechanics 34 | MATHM4500 | 20 | Optional | TB-2 |
Stochastic Optimisation | MATHM6005 | 10 | Optional | TB-2D |
Theory of Inference 4 | MATHM0019 | 20 | Optional | TB-2 |
Topics in Discrete Mathematics 34 | MATHM0009 | 10 | Optional | TB-2C |
Topics in Modern Geometry 34 | MATHM0008 | 10 | Optional | TB-1A |
MSc | 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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