UDFNMAFY - BSc (Hons) Financial Mathematics (including foundation year)
|Highest award||Bachelor of Science||Level||Honours|
|Possible interim awards|
|Total credits for course||480|
|Awarding institution||London Metropolitan University|
|Teaching institutions||London Metropolitan University|
|School||School of Computing and Digital Media|
|Subject Area||Communications Technology and Mathematics|
About the course and its strategy towards teaching and learning and towards blended learning/e-learning
Learning and Teaching Strategy:
Students’ learning is directed via face-to-face learning activities. These include: lectures, tutorials, seminars, computer-based learning, individual and group-based case studies and investigations, and directed independent study.
The addition of foundation year is designed for students who have been away from formal study for some time or have not quite reached the entry requirements to start on Level 4. As such the foundation year offers broad range of topics from essential mathematical techniques, programming and applications of mathematics in communications technology (robotics) and cyber security. These topics provide students with set of transferable skills necessary in modern job market and also serves as a platform to study several other degrees that our school offers (i.e. BSc Computer Science, BSc Digital Forensics and Cyber Security, BEng Electronics and Internet of Things). The latter point allows for flexibility to change the route after Level 3 which, from our experience of running Extended Degrees, is a very attractive feature to applicants.
All the modules for all the levels are already existing and comply with the UG framework and no additional resources in terms of staff, library and ISS are needed. At Level 4 onwards, students are expected to develop higher order cognitive/intellectual skills that are reflected in an ability to select and apply appropriate mathematical processes in problem solving; develop logical mathematical arguments with appropriate conclusions and an evaluation of their limitations; formulate complex problems, analyse and interpret the results in context; develop self-awareness and study skills and be able to work both independently and with others as part of a team. These skills will be developed by learning activities such as: problem solving classes and activities; case studies; problem-based learning data-driven computer-based analysis of real data; directed independent research and study.
All mathematics modules will have presence on the University virtual learning environment. Apart from standard information (module specs, staff contact details, surgery/office hours and regular notice boards) it will also include, where appropriate, online submission of assessments, marking and feedback; online quizzes, reusable learning objects and social networking tools to motivate students. At level 4 on-line software will be used such as MyMatlabGlobal, Visual Calculus, etc. Further in the course the specific local software will be used such as Computer Algebra package (MAPLE), and various statistical packages (R, SPSS, etc) to enhance students learning and overall experience.
Students are assessed via tests, exams, essays, individual and group research projects, presentations and a final dissertation with regular supportive feedback.
Mathematics modules at all levels are required to set and give feedback on a specific piece of work within the first four weeks. This engages students early and the feedback provided sets standards for future assessments and ensures students are aware of expectations. The exercise will also provide course team with an early measure of students’ engagement with each module.
Assessment matrix is produced at course level to avoid bunching of submission deadlines.
Students have the opportunity to examine their marked test papers in the tutorial sessions and receive one to one feedback which for written coursework is via the same Turnitin platform through which assignments are submitted.
The course aims to provide a broad mathematical education enabling students to investigate several branches of mathematics. The focus of the course is the application of the techniques in appropriate contexts. Emphasis throughout is on what the student learns and can do as a result of the learning. It also enables the demonstration of the graduate attributes of self-awareness, performance in a variety of idioms and contexts and ethical and creative considerations.
For students undertaking the single honours course, the aims are to
1. provide a course that is relevant to a career in business or the financial services,
2. develop the technical knowledge and understanding of mathematical
techniques and the ability to apply them appropriately in context.
3. enable students to demonstrate appropriate transferable skills and the ability to
work with relatively little guidance and support
4. ensure that students are competent in the use of the IT skills that are needed in
the workplace and specifically in finance.
5. equip students with the confidence and study skills to enable them to progress
both in the workplace and in post-graduate study.
Course learning outcomes
By the end of this course a student is expected to have acquired knowledge and understanding of the following
LO1. mathematical and statistical techniques and be able to apply them in a financial and
modern business environment;
LO2. a range of modelling techniques and their assumptions, limitations and applicability;
LO3. the social, political and ethical issues associated with the application of mathematical and statistical techniques in the financial services;
LO4. the importance of using a structured analytical approach to problem solving;
LO5. understand the concept of stochastic process and how can be apply to solve real problems in financial and more generally in other scientific commercial environments;
LO6. understand discrete dynamical systems and their application in modelling problems in Finance.
LO7. work effectively as an individual or as part of a team and develop the skills associated with problem solving, relationship management, communication and time management in the context of a work-related learning experience
Course learning outcomes / Module cross reference
Met by studying all core modules ALL MA
MA4010, MA5030 and MA6010
Calculus and Linear Algebra, Discrete Mathematics and Group Theory, Algebra and Analysis
MA4010, MA5011, MA5052, and MA6010
Calculus and Linear Algebra, Further Calculus and Differential Equations, Algebra and Analysis
MA4041, MA5051, MA5041,MA6020,
Data Analysis and Financial Mathematics, Project Management, Statistical Methods and Modelling Markets, Mathematical odelling,Financial Modelling and Forecasting
Work Related Learning II
Principle QAA benchmark statements
Mathematics, Statistics and Operational Research
• Students are assessed via tests, exams, essays, individual and group research projects, presentations and a final dissertation with regular supportive feedback.
• Mathematics modules at all levels are required to set and give feedback on a specific piece of work within the first four weeks. This engages students early and the feedback provided sets standards for future assessments and ensures students are aware of expectations. The exercise will also provide course team with an early measure of students’ engagement with each module.
• Assessment matrix produced at course level to avoid bunching of submission deadlines.
• Students have the opportunity to examine their marked test papers in the tutorial sessions and receive one to one feedback which for written coursework is via the same TurnitIn platform through which assignments are submitted.
Organised work experience, work based learning, sandwich year or year abroad
As part of our Undergraduate Student programme, every student will undertake a compulsory level 6 (15 credits) work- related learning module in semester 1 or 2.
This module will give opportunity to students to gain skills and experience from work environment and can take different format such as a professional training, a volunteering activity, an employment activity, an activity within the School of Computing and Digital Media project which would typically entail an individual student or a team of students working on a real project.
Students already in part time jobs can also be considered, providing students can demonstrate that it is personally developmental, involves responsibility and covers all the learning outcome of the work related module.
Course specific regulations
In addition to standard University Academic Regulations for progression from Level 3 to Level 4 students must pass MA3101 Mathematics module.
Modules required for interim awards
Standard University Academic Regulations.
Arrangements for promoting reflective learning and personal development
Students are expected to develop skills ( including those of employability and professional practice) which include: communicating effectively both orally and written means using appropriate idioms; working effectively as part of a team; applying statistical and numerical techniques to the analysis of problems ; using computer-based software to facilitate communication and research; being aware of the ethical and social consequences of mathematical, statistical and operational research work and thinking critically and reflectively when developing solutions and interpreting results. These skills are developed throughout the course and are embedded in the learning activities. More specific support and development is provided at level 4 (Mathematical Proof and Structures) and further developed within the core modules and in the employability modules (Project Management and Work Related Learning) and finally in the final year project/independent study module.
Career, employability and opportunities for continuing professional development
The university careers service offers guidance to students on a one-to-one basis or in group sessions, arrange Workshops and Events, London Met Graduate Internship Scheme and information on opportunities and events. They also yearly provide via Career Mentoring Programmes scheme the opportunity for university’s Alumni to act as mentors to the current students.
The School of Computing and Digital Media’s Work-related projects offer opportunities to enhance employability skills, gain real experience and 'earn while you learn' through placements into real client-driven projects - working with business and industry
Graduates from this degree course are able to embark upon careers in the field of mathematics but also work more broadly in the computing industry, finance. In addition the graduates from this course can proceed to PGCE in Secondary Mathematics Teaching as well as MSc Mathematics areas.
There are careers for which a degree in mathematics is either essential or a strong advantage. These fall into a number of general areas:
1. Scientific research, design and development
2. Management services and computing
3. Financial work
4. Statistical work
6. Postgraduate study
Students will be encouraged to undertake a (usually paid) sandwich placement between the level 5 and level 6.
The skills you’ll gain by the time you graduate will allow you to work in roles such as financial analyst, financial officer or researcher. The wide range of transferable skills you’ll gain will also allow you to move into areas outside of finance such as management services, statistical work or teaching.
On completion of this degree you’ll also find opportunities for study at postgraduate level.
In addition to the University's standard entry requirements, you should have:
- at least one A level (or a minimum of 32 UCAS points from an equivalent Level 3 qualification, eg BTEC Subsidiary/National/BTEC Extended Diploma)
- English Language and Mathematics GCSE at grade C/4 or above (or equivalent, eg Functional Skills at Level 2) – if you meet UCAS points criteria but obtained a grade D/3 in English and/or Maths at GCSE you may be offered a University test in these areas
To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.
If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.
Official use and codes
|Approved to run from||2019/20||Specification version||1||Specification status||Validated|
|Original validation date||25 Jul 2019||Last validation date||25 Jul 2019|
|Sources of funding||HE FUNDING COUNCIL FOR ENGLAND|
Stage 1 Level 03 September start Offered
|CC3101||Cyber Security Fundamentals||Core||30||NORTH||AUT+SPR||FRI||AM|
|CT3102||Introduction to Robotics and Internet of Things||Core||30||NORTH||AUT+SPR||WED||AM|
Stage 1 Level 03 January start Not currently offered
|CC3101||Cyber Security Fundamentals||Core||30|
|CT3102||Introduction to Robotics and Internet of Things||Core||30|
Stage 2 Level 04 October start Offered
|MA4010||Calculus and Linear Algebra||Core||30||NORTH||AUT+SPR||THU||AM|
|MA4030||Mathematical Proofs and Structure||Core||30||NORTH||AUT+SPR||FRI||PM|
|MA4041||Data Analysis and Financial Mathematics||Core||30||NORTH||AUT+SPR||TUE||PM|
Stage 3 Level 05 Not currently offered
|MA5041||Statistical Methods and Modelling Markets||Core||30|
Stage 4 Level 06 Not currently offered
|FC6W51||Work Related Learning II||Core||15|
|MA6041||Financial Modelling and Forecasting||Core||30|
|MA6P52||Academic Independent Study||Core||15|
|MA6010||Algebra and Analysis||Option||30|
|MA6053||Error Correcting Codes||Option||15|
|MA6054||Cryptography and Number Theory||Option||15|
|XK0000||Extension of Knowledge Module||Option||15|