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Study information

Mathematical Finance with Professional Placement (2024)

1. Programme Title:

Mathematical Finance with Professional Placement

NQF Level:

7

2. Description of the Programme (as in the Business Approval Form)

The MSc Mathematical Finance with Professional Placement offers a solid foundation to the tools, theory and practice required for a career in finance or related professions.  The heart of the programme is our case studies module, structured around current and practical issues within the mathematical finance industry.  This is complemented by modules teaching the essential concepts and techniques in mathematics and finance.  A capstone project gives you the opportunity to extend your expertise into a specialist area of your choice.  This programme is offered as a conversion course and does not require a prior specialist mathematics or finance education.  This Professional Placement” variant allows you to complement your first year of study with a placement year to round out your experience in this field.

3. Educational Aims of the Programme

  • To provide you with a broad and balanced body of the quantitative and economical theories that underpin modern financial models and strategies.
  • To generate in you an enthusiasm for the subject of mathematical finance and to involve them in an intellectually stimulating and satisfying experience of learning and scholarship.
  • To generate in you the abiiity to understand, evaluate and construct quantitative models of various financial phenomena.
  • To prepare you for further research and for employment in the area of mathematical finance.

4. Programme Structure

The Mathematical Finance with Professional Placement programme is a 2-year full-time programme of study at Regulated Qualifications Framework (RQF) level 7 (as confirmed against the FHEQ). This programme is divided into 2 stages. Each stage is normally equivalent to an academic year.

Stage 1 consists of 120 credits taught over Term 1 and Term 2.

Stage 2 consists of a 9-12 month professional placement, during which a dissertation will also be completed and submitted.

Students who do not secure a placement will be transferred to MSc Mathematical Finance, with the approval of the Director of PGT programmes. 

 

5. Programme Modules

Stage 1

Code Title Credits Compulsory NonCondonable
MTHM059Case Studies in Mathematical Finance30YesNo
MTHM002Methods for Stochastics and Finance15YesNo
MTHM003Analysis and Computation for Finance15YesNo
BEAM047Fundamentals of Financial Management15YesNo
MTHM006Mathematical Theory of Option Pricing 15YesNo
Select 30 credits from the following modules
BEAM029Topics in Financial Economics 15NoNo
BEAM031Financial Instruments 15NoNo
BEAM032Investment Analysis 1 15NoNo
BEAM033Banking and Financial Services 15NoNo
BEAM035Derivatives Pricing 15NoNo
BEAM036Domestic and International Portfolio Management 15NoNo
BEAM038Investment Analysis II 15NoNo
BEAM046Financial Modelling 15NoNo
BEAM050Advanced Corporate Finance 15NoNo
BEAM078Applied Empirical Accounting and Finance 15NoNo
BEEM012Applied Econometrics 2 15NoNo
BEEM011Applied Econometrics 115NoNo
MTHM048Ergodic Theory15NoNo

90 credits of compulsory modules, 30 credits of optional modules

Stage 2

Code Title Credits Compulsory NonCondonable
MTHM060Actuarial and Mathematical Finance Project60YesYes
MTHM053MSc Professional Placement60YesYes

120 credits

6. Programme Outcomes Linked to Teaching, Learning & Assessment Methods

On successfully completing the programme you will be able to: Intended Learning Outcomes (ILOs) will be accommodated & facilitated by the following learning & teaching and evidenced by the following assessment methods:

A Specialised Subject Skills & Knowledge

  1. Select and apply accurately essential mathematical, statistical and numerical background required for understanding the principles of mathematical finance and mathematical economics.
  2. use computational software (such as Matlab) effectively to solve problems and present results relevant to financial modelling.
  3. Formulate and solve problems using Itô calculus, the Black-Scholes equation and understand their relevance to derivative pricing.
  4. Construct portfolios, understand asset pricing models, and be able determine the equilibrium expected return of investments.
  5. Develop a project on an aspect of mathematical financial modelling, investment analysis, or other cognate topic.

Learning & Teaching Activities

The modules will be delivered by a mixture of formal lectures, tutorial and seminar classes and computer practical sessions. Example sheets and other assignments will be set and marked by the module leader. Students will be expected to read the assigned texts and for the project module to get useful information from the web and from journals. Assistance will be given during tutorials and seminars, and office hours will be available for individual students to help overcome any difficulties. Collaborations between groups of students will be encouraged, so as to enable students to learn from each other and to develop teamwork skills. The projects will be individually supervised, with a weekly meeting (typically one hour) between supervisor and student.

The module MTHM002 will be used to develop (1), and MTHM003 to develop (2). (3) is an important part of MTHM006. The module BEAM047 will develop (4) as well as other optional modules, and the project will ensure (5).

 

Assessment Methods

These skills will be tested by the marking of coursework, by examination and by the marking of the project.

 

B Academic Discipline Core Skills & Knowledge

  1. develop rigorous theoretical arguments based on mathematical reasoning
  2. master the basic mathematical and computational skills necessary for a deep understanding of economics and finance
  3. analyse quantitative problems in finance
  4. interpret financial data in the light of established theories
  5. review a wide body of research literature and critically appraise it

Learning & Teaching Activities

(6) and (7) are achieved through the modules MTHM002 and MTHM003, and tested through the specific financial modelling modules.

(8) and (9) are developed in MTHM006, and many optional modules.

(10) is developed particularly in the project.

 

Assessment Methods

These skills will be tested by the marking of coursework, by examination and by the marking of the project.

C Personal / Transferable / Employment Skills & Knowledge

  1. use software packages for mathematical word processing to produce substantial and well-presented documents
  2. use libraries, databases and the web effectively for research
  3. work as part of a team
  4. manage your time effectively
  5. plan your career and personal development

Learning & Teaching Activities

(11) and (12) are required for the project

(13) is developed particularly in the case studies module.

(14) and (15) will be key skills throughout the programme. Each student will have personal tutorial advice to achieve (15), as well as access to our Careers Advice service.

Assessment Methods

Assessed through the project and the coursework of the modules, particularly the case studies module.

7. Programme Regulations

Full details of assessment regulations for all taught programmes can be found in the TQA Manual, specifically in the Credit and Qualifications Framework, and the Assessment, Progression and Awarding: Taught Programmes Handbook.

Additional information, including Generic Marking Criteria, can be found in the Learning and Teaching Support Handbook

8. College Support for Students and Students' Learning

In accordance with University policy a system of personal tutors is in place for all students on this programme.  A University-wide statement on such provision is included in the University’s TQA Manual.  As a student enrolled on this programme you will receive the personal and academic support of the Programme Coordinator and will have regular scheduled meetings with your Personal Tutor; you may request additional meetings as and when required. The role of personal tutors is to provide you with advice and support for the duration of the programme and extends to providing you with details of how to obtain support and guidance on personal difficulties such as accommodation, financial difficulties and sickness. You can also make an appointment to see individual teaching staff.

Information Technology (IT) Services provide a wide range of services throughout the Exeter campuses including open access computer rooms, some of which are available 24 hours, 7 days a week.  Help may be obtained through the Helpdesk, and most study bedrooms in halls and flats are linked to the University’s campus network.

Additionally, the Faculty has its own dedicated computer facilities which are linked to the wider network, but which also provide access to some specialised software packages.  Email is an important channel of communication between staff and students in the Faculty and an extensive range of web-based information (see https://intranet.exeter.ac.uk/emps/) is maintained for the use of students, including a comprehensive student handbook.

The Harrison Learning Resource Centre is generally open during building opening hours. The Centre is available for quiet study, with separate breakout rooms that can be booked for meetings and group work. Amongst its facilities, the Learning Resource Centre has a number of desks, meeting rooms with large LCD screens, and free use of a photocopier. Also available are core set texts from your module reading lists, and undergraduate and MSc projects from the past two years.

Online Module study resources provide materials for modules that you are registered for, in addition to some useful subject and IT resources. Generic study support resources, library and research skills, past exam papers, and the “Academic Honesty and Plagiarism” module are also available through the student portal (http://ele.exeter.ac.uk)

The Student Staff Liaison Committee enables students & staff to jointly participate in the management and review of the teaching and learning provision.

 

10. Admission Criteria

Undergraduate applicants must satisfy the Undergraduate Admissions Policy of the University of Exeter.

Postgraduate applicants must satisfy the Postgraduate Admissions Policy of the University of Exeter.

Specific requirements required to enrol on this programme are available at the respective Undergraduate or Postgraduate Study Site webpages.

 

11. Regulation of Assessment and Academic Standards

Each academic programme in the University is subject to an agreed Faculty assessment and marking strategy, underpinned by institution-wide assessment procedures.

The security of assessment and academic standards is further supported through the appointment of External Examiners for each programme. External Examiners have access to draft papers, course work and examination scripts. They are required to attend the Board of Examiners and to provide an annual report. Annual External Examiner reports are monitored at both Faculty and University level. Their responsibilities are described in the University's code of practice. See the University's TQA Manual for details.

12. Indicators of Quality and Standards

Certain programmes are subject to accreditation and/or review by professional and statutory regulatory bodies (PSRBs). 

14 Awarding Institution University of Exeter
15 Lead College / Teaching Institution Faculty of Environment, Science and Economy
16 Partner College / Institution
17 Programme accredited/validated by
18 Final Award(s) MSc
19 UCAS Code (UG programmes) TEMPMATHS
20 NQF Level of Final Awards(s): 7
21 Credit (CATS and ECTS) 180/90
22 QAA Subject Benchmarking Group (UG and PGT programmes)
23 Origin Date March 15th 2024 Last Date of Revision: September 23rd 2024