This section describes which Units you will take in which year of study. It indicates which units are mandatory and where you will be able to choose. The overall pass marks you will need to achieve in order to progress or achieve an award are shown. The full regulations concerning progression and completion are held in the University's Regulations and Code of Practice. Any particular aspects of your programme that are unusual will be highlighted. If any Units are must pass this will be shown below. The linked unit specifications detail any additional requirements.
What do the teaching blocks (TB) mean?
| Unit name | Unit code | Credit points | Status | Teaching Block |
|---|---|---|---|---|
| Financial Risk Management | MATH30014 | 20 | Optional | TB-1 |
| Theory of Inference | MATH35600 | 20 | Optional | TB-2 |
| Financial Mathematics | MATH35400 | 20 | Optional | TB-2 |
| Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
| Choose a mandatory project in statistics (Group 17) | ||||
| Group 17 | ||||
| Project | MATH32201 | 10 | Optional | TB-1 |
| Project 1 | MATH32200 | 20 | Optional | TB-4 |
| Group Project Unit | MATH30009 | 20 | Optional | TB-4 |
| Together with units from the following groups. No more than 20 credit points at level 5. No more than 70 credit points in any teaching block. No more than one unit from each block. | ||||
| Group 2 (TB1) | ||||
| Linear and Generalised Linear Models | MATH30013 | 20 | Optional | TB-1 |
| Fields, Forms and Flows | MATH30018 | 20 | Optional | TB-1 |
| Ordinary Differential Equations 2 | MATH20101 | 20 | Optional | TB-1 |
| Group 3 (TB1) | ||||
| Group Theory | MATH33300 | 20 | Optional | TB-1 |
| Martingale Theory with Applications 3 | MATH30027 | 20 | Optional | TB-1 |
| Group 5 (TB1) | ||||
| Stochastic Optimisation | MATH30021 | 20 | Optional | TB-1 |
| Measure Theory and Integration | MATH30007 | 20 | Optional | TB-1 |
| Fluid Dynamics 3 | MATH33200 | 20 | Optional | TB-1 |
| Linear Algebra 2 | MATH21100 | 20 | Optional | TB-1 |
| Group 6 (TB1) | ||||
| Complex Function Theory | MATH33000 | 20 | Optional | TB-1 |
| Quantum Mechanics | MATH35500 | 20 | Optional | TB-1 |
| Complex Networks | MATH36201 | 20 | Optional | TB-1 |
| Group 7 (TB1) | ||||
| Topics in Modern Geometry 3 | MATH30001 | 10 | Optional | TB-1A |
| Information Theory 3 | MATH34600 | 10 | Optional | TB-1A |
| Quantum Information Theory | MATHM5610 | 10 | Optional | TB-1A |
| Group 8 (TB1) | ||||
| Calculus of Variations | MATH30005 | 10 | Optional | TB-1B |
| Group 10 (TB2) | ||||
| Introduction to Geometry | MATH20004 | 20 | Optional | TB-2 |
| Galois Theory | MATHM2700 | 20 | Optional | TB-2 |
| Numerical Analysis | MATH30029 | 20 | Optional | TB-2 |
| Group 11 (TB2) | ||||
| Further Topics In Probability 3 | MATH30006 | 20 | Optional | TB-2 |
| Number Theory | MATH30200 | 20 | Optional | TB-2 |
| Statistical Machine Learning | MATH30028 | 20 | Optional | TB-2 |
| Statistical Mechanics | MATH34300 | 20 | Optional | TB-2 |
| Group 13 (TB2) | ||||
| Bayesian Modelling | MATH30015 | 20 | Optional | TB-2 |
| Logic | MATH30100 | 20 | Optional | TB-2 |
| Mathematical Methods | MATH30800 | 20 | Optional | TB-2 |
| Applied Partial Differential Equations 2 | MATH20402 | 20 | Optional | TB-2 |
| Quantum Computation | MATHM0023 | 10 | Optional | TB-2C |
| Group 14 (TB2) | ||||
| Optimisation | MATH30017 | 20 | Optional | TB-2 |
| Dynamical Systems and Ergodic Theory 3 | MATH36206 | 20 | Optional | TB-2 |
| Algebra 2 | MATH21800 | 20 | Optional | TB-2 |
| Group 15 (TB2) | ||||
| Topics in Discrete Mathematics 3 | MATH30002 | 10 | Optional | TB-2C |
| Multivariate Analysis | MATH30510 | 10 | Optional | TB-2C |
| Random Matrix Theory | MATH30016 | 10 | Optional | TB-2C |
| Group 16 (TB2) | ||||
| Modern Mathematical Biology | MATH30004 | 10 | Optional | TB-2D |
| Group 18 (TB4) | ||||
| Mathematics in Schools | MATH30020 | 20 | Optional | TB-4 |
| International Mentoring | MATH30023 | 10 | Optional | TB-4 |
| External mathematics units | ||||
| You may choose up to 40cp of the following external mathematics units | ||||
| Cryptology | COMS30021 | 10 | Optional | TB-1 |
| Nonlinear Dynamics and Chaos | EMAT33100 | 10 | Optional | TB-1 |
| Control Theory | EMAT30014 | 10 | Optional | TB-2 |
| Introduction to Artificial Intelligence | EMAT31530 | 20 | Optional | TB-4 |
| Non-mathematics units | ||||
| 20cp can be chosen from approved non-mathematics units at least at level I/5 | ||||
| Mathematics with Statistics for Finance (BSc) | 120 | |||
Unit Pass Mark for Undergraduate Programmes:
For details on the weightings for classifying undergraduate degrees, please see the Agreed Weightings, by Faculty, to be applied for the Purposes of Calculating the Final Programme Mark and Degree Classification in Undergraduate Programmes.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
Please refer to the specific progression/award requirements for programmes with a preliminary year of study, the Gateway programmes and International Foundation programmes.
All undergraduate degree programmes allow the opportunity for a student to exit from a programme with a Diploma or Certificate of Higher Education.
Integrated Master's degrees may also allow the opportunity for a student to exit from the programme with an equivalent Bachelor's degree where a student has achieved 360 credit points, of which 90 must be at level 6, and has successfully met any additional criteria as described in the programme specification.
The opportunities for a student to exit from one of the professional programmes in Veterinary Science, Medicine, and Dentistry with an Award is outlined in the relevant Programme Regulations (which are available as an annex in the Regulations and Code of Practice for Taught Programmes).
An Ordinary degree can be awarded if a student has successfully completed at least 300 credits with a minimum of 60 credits at Level 6.
The pass mark for the professional programmes in Veterinary Science, Medicine and Dentistry is 50 out of 100. The classification of a degree in the professional programmes in Veterinary Science, Medicine, and Dentistry is provided in the Regulations and Code of Practice for Taught Programmes.
The BSc in Mathematics with Statistics for Finance requires at least 100cpts of statistical units at Level I/5 or H/6 and at least 60 cpts at Level H/6 of finance units. It also requires either a Mathematics project unit or (possibly at an earlier stage) another unit approved by the School as containing a substantial element of written or oral communication.
