Mastering Mathematical Finance Online Courses - Stochastic Interest Rates

Department of Mathematics University of York - Online Programs

Program Description

Mastering Mathematical Finance Online Courses - Stochastic Interest Rates

Department of Mathematics University of York - Online Programs

The courses are based on 8 books from the "Mastering Mathematical Finance" (MMF) series published by Cambridge University Press. There are 8 individual courses - each covering the contents of one of the books.

Delivery is by means of one-to-one tutorials conducted via Skype by the authors and editors of the series, and regular coursework.

Who are the courses aimed at?

The courses are designed to meet the continuing professional development and training needs of:

  • Finance or IT professionals working in quantitative finance and risk management
  • Individuals seeking a career change, managers who need to keep abreast with progress in these fields
  • Prospective students who would like to prepare for entry to relevant postgraduate degree programmes

Pre-sessional course

(Pre-sessional course "Mathematics for Quantitative Finance" - This course is suitable for candidates who need to consolidate their mathematics background before embarking on some or all of the 8 courses. Cost - £1500)

Method of Delivery List of Courses

  • Each online course to be based on a book from the MMF series, with an additional set of exercises, and involves 10 rounds of activities culminating in 10 one-to-one online sessions. Each course takes approximately 4 - 8 months to complete.
  • Each of the 10 rounds consists of:
    • self-study based on the book,
    • problem-solving: solutions submitted and marked electronically,
    • model solutions to the problems attempted,
    • written feedback on the work submitted,
    • one-hour one-to-one online session via Skype with screen sharing, conducted by one of the authors of the MMF series, tailor-made for individual requirements, a combination of lectures and tutorials.
  • Additionally, each module to provide:
    • an online discussion forum,
    • email support,
    • final test.
  • Induction meeting via Skype to cover technical matters before the start of the first module (including help in using the software needed for online delivery). Each student will need a decent internet connection (broadband standard), a Windows or Mac computer and a Skype account. There is some additional free software to install such as the LyX mathematical editor.
  • Additional pre-sessional course available for delegates who need to revise or acquire relevant mathematical background.

About the Stochastic Interest Rates

This volume in the Mastering Mathematical Finance series strikes just the right balance between mathematical rigour and practical application. Existing books on the challenging subject of stochastic interest rate models are often too advanced for Master's students or fail to include practical examples. Stochastic Interest Rates covers practical topics such as calibration, numerical implementation and model limitations in detail. The authors provide numerous exercises and carefully chosen examples to help students acquire the necessary skills to deal with interest rate modelling in a real-world setting.

  • Well-motivated examples and exercises make material accessible to Master's students, advanced undergraduates and entry-level finance professionals
  • Coverage of practical topics prepares students for work in the field of stochastic interest rate derivatives
  • Modular structure of the series helps students rapidly develop specific skills
This school offers programs in:
  • English


Last updated January 18, 2018
Duration & Price
This course is Online
Start Date
Start date
Aug. 2019
Duration
Duration
4 - 8 
Part time
Price
Price
Information
Deadline
Locations
United Kingdom - York, England
Start date : Aug. 2019
Application deadline Request Info
End date Request Info
Start date : Aug. 2019
Application deadline Request Info
End date Request Info
Dates
Aug. 2019
United Kingdom - York, England
Application deadline Request Info
End date Request Info
Application deadline Request Info
End date Request Info