University home > Unit and programme catalogues in 2023/24 > Programme catalogue > Faculty of Science > School of Mathematics > Mathematics with Statistics (BSc) > Specification
Programme code | 2MATH005U |
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Programme type | Single Honours |
Programme director(s) |
Arne Kovac
|
Faculty | Faculty of Science |
School/department | School of Mathematics |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Accrediting types: |
Accredited by the Institute and Faculty of Actuaries for the purpose of exemption from some professional examinations. (http://www.actuaries.org.uk/) Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status. (http://www.rss.org.uk/) This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees. (http://www.ima.org.uk/) |
Relevant QAA subject benchmark groups | Mathematics, statistics and operational research (2023) (benchmark statement) |
Mode of study | Full Time |
Programme length | 3 years (full time) |
This section sets out why studying this programme is important, both in terms of inspiring you as an individual and in considering the challenges we face. It describes how this degree programme contributes to:
Programmes in Mathematics and Mathematics with Statistics provide a broad education in fundamental aspects of the subject and a more advanced knowledge of some topics. They develop skill in mathematical reasoning, problem-solving, and mathematical manipulation; facility in handling abstract concepts; and an ability to think logically and critically and to express ideas clearly. They foster students' intellectual development, and their employability, by enabling the study of subjects allied to or complementary to mathematics.
Programmes with Statistics include an education in probability theory and statistical reasoning up to honours or masters' level respectively for BSc and MSci.
The learning outcome statements shown below for your programme have been developed with reference to relevant national subject benchmarks (where they exist), national qualification descriptors (see the Framework for Higher Education Qualifications) and professional body requirements.
Teaching, learning and assessment strategies are listed to show how you will be able to achieve and demonstrate the learning outcomes.
This programme provides opportunities for you to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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Strong support in the first year, more independence encouraged in later years. First year based on lectures supported by three small-group tutorials per week. Second year based on lectures and problem classes. Third and fourth years based on lectures and/or seminars, guided reading, projects, group work etc. depending on the choice of optional units. |
Methods of assessment (formative and summative) | |
Written examination, assessed coursework, and in the third and fourth years, assessed projects, essays and seminars depending on the choice of optional unit. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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|
Lectures supported by weekly assignments of mathematical exercises which are marked and returned to students. See also the learning/teaching methods above under Knowledge and Understanding. |
Methods of assessment (formative and summative) | |
As in Knowledge and Understanding. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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As above plus computational assignments and project work in mathematics, and units taken outside mathematics. |
Methods of assessment (formative and summative) | |
As above plus assessed computational assignments (which assess ability to use mathematical software) and project work in mathematics (where IT and communication skills are assessed as well as intellectual capacity). |
Embedded within the curriculum |
Skills development is embedded into the curriculum through our units Mathematical Investigations (Year 1) and Mathematical Programming (Year 2). You will explore and discuss issues around:
There are further opportunities through several optional units in Year 3 including “Perspectives in Mathematics”, “Mathematics in Schools” and “20cp project” to engage with
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Co-curricular opportunities |
Through the degree there is space for you to engage with units other than those provided by the School of Mathematics. In particular, you may engage during your second year with units provided by the Bristol Futures team. At time of writing, these units include such titles as: “Science of Happiness” and “Decolonise the Future!” These units are fully aligned with the Bristol Futures framework and can contribute to year credit through the open unit scheme. You may also sign up to learn a modern language through the University Wide Language Programme (UWLP). |
This section describes what is expected from you at each level of your programme. This illustrates increasing intellectual standards as you progress through the programme. These levels are mapped against the national level descriptors published by the Quality Assurance Agency.
Level C/4 - Certificate |
Mastery of basic mathematical skills, and an understanding of rigorous mathematics. The capacity to take different approaches to solving problems, and to communicate accurately. |
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Level I/5 - Intermediate |
Understanding of abstract mathematical structures and/or (depending on choice of options) more advanced techniques; broadening and/or deepening of mathematical understanding. The capacity to evaluate the appropriateness of different approaches to solving problems. |
Level H/6 - Honours |
Confidence in handling deeper or more complex mathematical structures, and in critically analysing mathematical arguments; initiative in finding information and self-directed learning.Analytical techniques and problem-solving skills that can be applied in many types of employment. The capacity to evaluate evidence, arguments and assumptions, to reach sound judgements, and to communicate effectively. |
For information on the admissions requirements for this programme please see details in the undergraduate prospectus at http://www.bristol.ac.uk/prospectus/undergraduate/ or contact the relevant academic department.
Undergraduate Students
Success as an undergraduate student depends on you being able to make the transition to self-motivated, independent learning. Programmes are designed to assist you in this development, in many cases by starting with units in which timetabled teaching, such as lectures and practical classes, provides the foundations of knowledge and skills in a subject, moving on to individual research-based work. Over time you will be expected to take increasing responsibility for your own learning, guided by the feedback on your work that you will receive.
Postgraduate Students
Taught postgraduate students are generally studying for one academic year. This is a longer year than for undergraduates, normally culminating in a research project. In a one-year full-time programme your workload will be distributed as evenly as possible, but this will depend on the precise arrangements for your programme. You will be expected to take responsibility for your own learning, guided by the feedback on your work that you will receive.
All students
At the heart of your studies at every level there must be regular and disciplined individual reading, reflection and writing and it is this skill of independent studies, above all others, that will serve you best when you leave the University.
Most programmes use credits and a 20-credit unit broadly equates to about 200 hours of student input. This includes all activities related to the teaching, learning and assessment of taught units.
A component of this is the time that you spend in class, in contact with the teaching staff, which includes activities such as lectures, laboratories, tutorials, problem-solving classes and fieldwork. Some of this activity may be online and could consist of activity that is synchronous (using real-time environments such as Blackboard Collaborate) or asynchronous (using tools such as tutor moderated discussion forums, blogs or wikis).
In some programmes there are field courses and/or placements that will take place in concentrated periods of time.
Outside scheduled activities you are expected to pursue your own independent learning to build your knowledge and understanding of the subjects you are studying. Such independent activities include, reviewing lecture material, reading textbooks, working on examples sheets, completing coursework, writing up laboratory notes, preparing for in-class progress tests and revising for examinations.
We recognise that many students undertake paid employment. To achieve a sensible balance between work and study, you are advised to undertake paid work for no more than 15 hours per week in term-time.
UG Professional Programmes in the Faculty of Health Sciences
For these professional programmes, full time attendance is compulsory unless absence is formally approved. Academic activities are timetabled throughout the 5-day week and student workload is around 40 hours per week on average. Where possible, students in the early years are permitted Wednesday afternoons for sport and extra-curricula activities. This is usually not available in later years of professional programmes as when a student progresses through their curriculum there is an increasing exposure to clinical and professional activities. Students in clinic or on placements may need to stay later than core times of 08.00 – 18.00 or even overnight to observe out-of-hours activities. There may also be an occasional need to work or travel to clinical placements at the weekend. This increasing exposure to clinical activities means that students on these professional programmes often have longer term dates than the University standard. Individual years within programmes are likely to vary in length (for example because of the timings of placements) and further information on this will be found in individual programme information. Another important point to note is that many of the assessments sit outside the standard University examination timetable and are likely to be more frequent, meaning that students will need to engage in revision activities and self-directed learning (including when on clinical placements).
Health Sciences Assessment Statement
Please select the following link for a statement about assessment in the Faculty of Health Sciences. This is University of Bristol access only.
https://www.bristol.ac.uk/media-library/sites/health-sciences/chse/documents/FHS%20Assessment%20and%20Feedback%20statement%202021.pdf
In addition to the programme in this specification, there is a MSci with Statistics, two single honours programmes, two programmes with a year of study in Europe, and joint programmes in Mathematics and one of the following: Biology, Computer Science, Economics, Philosophy, Physics. The programmes are designed for maximum flexibility: Joint students can transfer into single honours programmes at the end of the first year, as can students on the European study programme.
School of Mathematics web site http://www.bristol.ac.uk/maths/
Undergraduate contact email math-info@bristol.ac.uk.
MATH10015, MATH10011, MATH10012 and MATH10013 are must pass units. For the definition of must pass units please see the Glossary of Terms from Annex 1 to the Regulations and Code of Practice for Taught Programmes.
Unit Name | Unit Code | Credit Points | Status | |
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Analysis | MATH10011 | 20 | Mandatory | TB-4 |
Introduction to Proofs and Group Theory | MATH10010 | 20 | Mandatory | TB-4 |
Linear Algebra | MATH10015 | 20 | Mandatory | TB-4 |
Mathematical Investigations | MATH10009 | 20 | Mandatory | TB-4 |
ODEs, Curves and Dynamics | MATH10012 | 20 | Mandatory | TB-4 |
Probability and Statistics | MATH10013 | 20 | Mandatory | TB-4 |
Certificate of Higher Education | 120 |
MATH20008 and MATH20800 are must pass units.
For the definition of must pass units please see the Glossary of Terms from Annex 1 to the Regulations and Code of Practice for Taught Programmes.
Unit Name | Unit Code | Credit Points | Status | |
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Mathematical Programming | MATH20014 | 20 | Mandatory | TB-1 |
Statistics 2 | MATH20800 | 20 | Mandatory | TB-1 |
Probability 2 | MATH20008 | 20 | Mandatory | TB-2 |
Perspectives in Data Science | MATH20018 | 20 | Mandatory | TB-2 |
One from: | ||||
Multivariable Calculus and Complex Functions | MATH20015 | 20 | Optional | TB-1 |
Metric Spaces | MATH20006 | 20 | Optional | TB-1 |
One from: | ||||
Algebra 2 | MATH21800 | 20 | Optional | TB-2 |
Applied Partial Differential Equations 2 | MATH20402 | 20 | Optional | TB-2 |
Introduction to Geometry | MATH20004 | 20 | Optional | TB-2 |
Ordinary Differential Equations 2 | MATH20101 | 20 | Optional | TB-2 |
Mechanics 2 | MATH21900 | 20 | Optional | TB-2 |
Linear Algebra 2 | MATH21100 | 20 | Optional | TB-2 |
Any Bristol Futures open unit | OPEN | 20 | Optional | |
Any University Wide Language Programme unit | OPEN | 20 | Optional | |
Introduction to Accounting | ACCG10052 | 20 | Optional | TB-2 |
Principles of Economics | EFIM10050 | 20 | Optional | TB-2 |
Introduction to Cognitive and Biological Psychology | PSYC10013 | 20 | Optional | TB-2 |
Methods of Artificial Intelligence | SEMT20003 | 20 | Optional | TB-2 |
Diploma of Higher Education | 120 |
Unit Name | Unit Code | Credit Points | Status | |
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Theory of Inference | MATH35600 | 20 | Mandatory | TB-2 |
Select one project unit in Statistics: | ||||
Project 1 | MATH32200 | 20 | Optional | TB-4 |
Group Project Unit | MATH30009 | 20 | Optional | TB-4 |
Choose 80 credit points, with no more than 20 credit points at level 5, units balanced across teaching blocks and no more than one unit from each group: | ||||
Group 1 - TB1 | ||||
Financial Risk Management | MATH30014 | 20 | Optional | TB-1 |
Metric Spaces | MATH20006 | 20 | Optional | TB-1 |
Group 2 - TB1 | ||||
Set Theory | MATH32000 | 20 | Optional | TB-1 |
Information Theory | MATH30032 | 20 | Optional | TB-1 |
Martingale Theory with Applications 3 | MATH30027 | 20 | Optional | TB-1 |
Group 3 - TB1 | ||||
Group Theory | MATH33300 | 20 | Optional | TB-1 |
Time Series Analysis | MATH33800 | 20 | Optional | TB-1 |
Fluid Dynamics 3 | MATH33200 | 20 | Optional | TB-1 |
Group 4 - TB1 | ||||
Multivariable Calculus and Complex Functions | MATH20015 | 20 | Optional | TB-1 |
Combinatorics | MATH30030 | 20 | Optional | TB-1 |
Quantum Mechanics | MATH35500 | 20 | Optional | TB-1 |
Group 5 - TB1 | ||||
Stochastic Optimisation | MATH30021 | 20 | Optional | TB-1 |
Complex Function Theory | MATH33000 | 20 | Optional | TB-1 |
Numerical Analysis | MATH30029 | 20 | Optional | TB-1 |
Group 7 - TB2 | ||||
Financial Mathematics | MATH35400 | 20 | Optional | TB-2 |
Fields, Forms and Flows | MATH30018 | 20 | Optional | TB-2 |
Measure Theory and Integration | MATH30007 | 20 | Optional | TB-2 |
Algebra 2 | MATH21800 | 20 | Optional | TB-2 |
Group 8 - TB2 | ||||
Linear Algebra 2 | MATH21100 | 20 | Optional | TB-2 |
Galois Theory | MATHM2700 | 20 | Optional | TB-2 |
Quantum Information Theory | MATH30031 | 20 | Optional | TB-2 |
Further Topics In Probability 3 | MATH30006 | 20 | Optional | TB-2 |
Group 9 - TB2 | ||||
Number Theory | MATH30200 | 20 | Optional | TB-2 |
Statistical Mechanics | MATH34300 | 20 | Optional | TB-2 |
Bayesian Modelling | MATH30015 | 20 | Optional | TB-2 |
Group 10 - TB2 | ||||
Mechanics 2 | MATH21900 | 20 | Optional | TB-2 |
Mechanics 23 | MATH31910 | 20 | Optional | TB-2 |
Statistical Machine Learning | MATH30028 | 20 | Optional | TB-2 |
Functional Analysis 3 | MATH36202 | 20 | Optional | TB-2 |
Group 11 - TB2 | ||||
Complex Networks | MATH36201 | 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 |
Group 12 - TB2 | ||||
Dynamical Systems and Ergodic Theory 3 | MATH36206 | 20 | Optional | TB-2 |
Theory of Inference | MATH35600 | 20 | Mandatory | TB-2 |
Probability 2 | MATH20008 | 20 | Optional | TB-2 |
Group 14 - TB2 | ||||
Ordinary Differential Equations 2 | MATH20101 | 20 | Optional | TB-2 |
Topics in Geometry and Discrete Mathematics | MATH30034 | 20 | Optional | TB-2 |
Modern Mathematical Biology and Biophysics | MATH30035 | 20 | Optional | TB-2 |
Linear and Generalised Linear Models | MATH30013 | 20 | Optional | TB-2 |
Group 15 - TB4 | ||||
Mathematics in Schools | MATH30020 | 20 | Optional | TB-4 |
External mathematics units - you may choose up to 40cp of the following external mathematics units subject to timetable availability: | ||||
Cryptology | COMS30085 | 20 | Optional | TB-1 |
Cryptology (Teaching Unit) | COMS30023 | 0 | Optional | TB-1 |
Mathematics with Statistics (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 requires at least 100cp of statistical units at Level I/5 or H/6.
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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