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Study information

Computational Finance (2019)

1. Programme Title:

Computational Finance

NQF Level:

7

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

The computational finance programme provides graduates with  mathematical and computational skills required to solve real problems in quantitative finance. Many areas of modern finance such as risk management and option pricing emphasize numerical and computational skills as well as an understanding of the mathematical background.

The programme is a joint degree between the Maths and Business schools and ensures a balanced approach to many of the complex problems in modern quantitative finance. On completion of this course students will be able to review and implement complex financial models in a number of programming languages including C++, MATLAB and R.

 

 

3. Educational Aims of the Programme

• To provide students with knowledge of the quantitative and computational theories that underpin modern financial models.

• To give students an enthusiasm for the subject of quantitative finance and an understanding of the complex world of modern finance.

• To generate in students the ability to understand and implement various financial quantitative models.

• To prepare students for employment and further research.

4. Programme Structure

Your MSc Computational Finance programme is a 1 year programme of study at National Qualification Framework (NQF) level 7 (as confirmed against the FHEQ). This programme is divided into 1 ‘Stage’. Each Stage is normally equivalent to an academic year.  The programme is also divided into units of study called ‘modules’ which are assigned a number of ‘credits’. The credit rating of a module is proportional to the total workload, with 1 credit being nominally equivalent to 10 hours of work.

Exit Awards

If you do not complete the programme you may be able to exit with a lower qualification.

Postgraduate Diploma: At least 120 credits of which 90 or more must be at NQF level 7.

Postgraduate Certificate: At least 60 credits of which 45 or more must be at NQF level 7.

5. Programme Modules

The following tables describe the programme and constituent modules. Constituent modules may be updated, deleted or replaced as a consequence of the annual programme review of this programme. Details of the modules currently offered may be obtained from the College web site

https://intranet.exeter.ac.uk/emps/

 

You may take Option Modules as long as any necessary prerequisites have been satisfied, where the timetable allows and if you have not already taken the module in question or an equivalent module. Descriptions of the individual modules are given in full on the College web site.

https://intranet.exeter.ac.uk/emps/

Stage 1

Code Title Credits Compulsory NonCondonable
ECMM702Methods for Stochastics and Finance15YesNo
ECMM703Analysis and Computation for Finance15YesNo
ECMM706Mathematical Theory of Optional Pricing15YesNo
ECMM737Introduction to C++15YesNo
ECMM738Computational Finance with C++15YesNo
ECMM739Numerical Finance30YesNo
Select either the following 75 credits:
ECMM410Research Methodology15YesNo
ECMM721Advanced Mathematics Project60YesYes
or Select the following 45 complulsory credtis and choose 30 credits from the optional modules listed:
BEAM032Investment Analysis I15YesNo
BEAM038Investment Analysis II15YesNo
BEAM046Financial Modeling15YesNo
Optional Modules choose 30 credits:
BEAM029Topics in Financial Economics15NoNo
BEAM033Banking and Financial Services15NoNo
BEAM035Derivatives Pricing15NoNo
BEAM036Domestic and International Portfolio Management15NoNo
BEAM050Advanced Corporate Finance15NoNo
BEAM054Alternative Investments15NoNo
BEEM102Quantitative Research Techniques 115NoNo
BEEM113Advanced Econometrics15NoNo

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. Demonstrate competence in the essential mathematical, computational and numerical background required for understanding the principles of quantitative finance

2. Use Matlab, C++ and R effectively to implement financial models.

3. Use stochastic calculus, the Black-Scholes equation and explain their relevance to derivative pricing.

4 Implement Monte Carlo and other numerical methods in C++ and MATLAB.

Learning & Teaching Activities

The modules will be delivered by a mixture of formal lectures, tutorial 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 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.
 

 

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

5. Develop rigorous theoretical arguments based on mathematical reasoning.

6 Exercise basic mathematical and computational skills necessary for a deep understanding of quantitative finance.

7. Analyse quantitative problems in finance and interpret financial data.

8. Access research literature in quantitative finance and critically appraise it.

Learning & Teaching Activities

(5) Achieved through the modules ECMM702, ECMM703 and ECMM706, and tested through the specific financial modelling modules.

(6) and (7) developed in ECMM737, ECMM738 and ECMM739.

(8) Developed particularly in the project ECMM721.


 

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

9. Implement numerical algorithms in C++ and MATLAB to produce well documented high quality programs.

10. Manage your time effectively

11. Present ideas in a professional manner.

12. Work as part of a team

13. Plan career and personal development and be prepared for an interview.

Learning & Teaching Activities

((9), (10) and (11) developed in the project.

(12) Seminar presentations will encourage group interactions.

(13) This is a key aspect for coping with the programme. Each student will have personal tutorial advice to achieve (13).



 


 

Assessment Methods

Assessed through the project and the coursework of the modules.

7. Programme Regulations

Credit

The programme consists of 180 credits with 90 credits taken at each stage where the programme is offered part time.  The pass mark for award of credit in an individual PG module is 50%.
 

Progression

Condonement is the process that allows you to be awarded credit (and so progress to the next stage or, in the final stage, receive an award), despite failing to achieve a pass mark at a first attempt. You are not entitled to reassessment in condoned credit.

Up to (45/30/20) credits of failure can be condoned on the following conditions:

  1. You must have completed and been assessed in modules amounting to sufficient credit for the final award (i.e. 180 credits for a Masters; 120 credits for a PGDip; and 60 credits for a PGCert).
  1. You must pass the modules marked with a 'Yes' in the 'non-condonable' column in the tables above.
  1. You must achieve an average mark of at least 50% across the full 180 credits of assessment in the stage, including any failed and condoned modules.

 

Assessment and Awards

The award will normally be based on at least 180 credits of which 150 or more must be at NQF level 7

Classification

The marking of modules and the classification of awards broadly corresponds to the following percentage marks:

Postgraduate Degrees

Distinction   70%+

Merit            60-69%

Pass            50-59%

 

Full details of  PGT programmes assessment regulations can be found in the Teaching Quality Assurance Manual (TQA) on the University of Exeter website.  Generic marking criteria are also published here.

Please see the Teaching and Quality Assurance Manual for further guidance.

 

 

 

 

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 College has its own dedicated IT support staff, helpdesk and 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 College 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 and annually revised student handbook.

The Harrison Learning Resource Centre is generally open during building open hours. The Centre is available for quiet study, with four separate rooms that can be booked for meetings and group work. Amongst its facilities, the Learning Resource Centre has a number of desks, four 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://vle.exeter.ac.uk).

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

10. Admission Criteria

All applications are considered individually on merit. The University is committed to an equal opportunities policy with respect to gender, age, race, sexual orientation and/or disability when dealing with applications. It is also committed to widening access to higher education to students from a diverse range of backgrounds and experience.

Candidates must satisfy the general admissions requirements and English Language requirements of the University of Exeter.

The normal entry requirement is a Second Class Honours degree or equivalent in a science or engineering subject, with significant mathematical content.

11. Regulation of Assessment and Academic Standards

Each academic programme in the University is subject to an agreed College 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 College 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 College of Engineering, Mathematics and Physical Sciences
16 Partner College / Institution University of Exeter Business School
17 Programme accredited/validated by
18 Final Award(s) MSc
19 UCAS Code (UG programmes) C924
20 NQF Level of Final Awards(s): 7
21 Credit (CATS and ECTS) 180 credits (90 ECTS)
22 QAA Subject Benchmarking Group (UG and PGT programmes) Mathematics, Statistics and Operational Research;
23 Origin Date July 10th 2018 Last Date of Revision: November 7th 2019