Course in Financial Mathematics in United Kingdom

Compare Course Studies in Financial Mathematics in United Kingdom 2017

Financial Mathematics

A course refers to a specialized study program. It usually takes place on campus but can be delivered online. Courses are popular for people who want to get specific knowledge in one subject.

UK, United Kingdom is more than 300 years old and comprises four constituent nations: England, Scotland, Wales, and Northern Ireland. The UK has been a centre of learning for the past 1,000 years and possesses many ancient and distinguished universities. Foreign students make up a significant proportion of the student body at UK universities.

Top Courses in Financial Mathematics in United Kingdom 2017

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Mastering Mathematical Finance Online Courses - Numerical Methods in Finance with C++

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. [+]

Best Courses in Financial Mathematics in United Kingdom 2017. 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 consilidate 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 aproximately 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 Numerical Methods in Finance with C++ Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance. Written specifically at the Master's level by experienced lecturers, so readers can dive in directly The mathematics is rigorous but also motivated, so readers see how to apply what they learn Online material includes solutions to exercises and C++ code [-]

Mastering Mathematical Finance Online Courses - The Black-Scholes Model

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

The Black–Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. [+]

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 consilidate 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 aproximately 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 The Black–Scholes Model The Black–Scholes option pricing model is the first and by far the best-known continuous-time mathematical model used in mathematical finance. Here, it provides a sufficiently complex, yet tractable, testbed for exploring the basic methodology of option pricing. The discussion of extended markets, the careful attention paid to the requirements for admissible trading strategies, the development of pricing formulae for many widely traded instruments and the additional complications offered by multi-stock models will appeal to a wide class of instructors. Students, practitioners and researchers alike will benefit from the book's rigorous, but unfussy, approach to technical issues. It highlights potential pitfalls, gives clear motivation for results and techniques and includes carefully chosen examples and exercises, all of which make it suitable for self-study. Equips students with the tools needed to price the main options in current markets Detailed proofs are presented in manageable steps so students can 'see the wood for the trees' Exercises range in difficulty to challenge even the most able student. Solutions are available online [-]

Mastering Mathematical Finance Online Courses - Stochastic Calculus for Finance

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

The authors study the Wiener process and Itô integrals in some detail, with a focus on results needed for the Black–Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Itô formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. [+]

Best Courses in Financial Mathematics in United Kingdom 2017. 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 consilidate 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 aproximately 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 Calculus for Finance This book focuses specifically on the key results in stochastic processes that have become essential for finance practitioners to understand. The authors study the Wiener process and Itô integrals in some detail, with a focus on results needed for the Black–Scholes option pricing model. After developing the required martingale properties of this process, the construction of the integral and the Itô formula (proved in detail) become the centrepiece, both for theory and applications, and to provide concrete examples of stochastic differential equations used in finance. Finally, proofs of the existence, uniqueness and the Markov property of solutions of (general) stochastic equations complete the book. Using careful exposition and detailed proofs, this book is a far more accessible introduction to Itô calculus than most texts. Students, practitioners and researchers will benefit from its rigorous, but unfussy, approach to technical issues. Solutions to the exercises are available online. Written specifically at the Master's level by experienced lecturers, so readers can dive in directly Gives students confidence in Itô calculus Solutions to exercises are available online [-]

Mastering Mathematical Finance Online Courses - Portfolio Theory and Risk Management

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

It provides a clear treatment of the scope and limitations of mean-variance portfolio theory and introduces popular modern risk measures. Proofs are given in detail, assuming only modest mathematical background, but with attention to clarity and rigour. [+]

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 consilidate 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 aproximately 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 Portfolio Theory and Risk Management With its emphasis on examples, exercises and calculations, this book suits advanced undergraduates as well as postgraduates and practitioners. It provides a clear treatment of the scope and limitations of mean-variance portfolio theory and introduces popular modern risk measures. Proofs are given in detail, assuming only modest mathematical background, but with attention to clarity and rigour. The discussion of VaR and its more robust generalizations, such as AVaR, brings recent developments in risk measures within range of some undergraduate courses and includes a novel discussion of reducing VaR and AVaR by means of hedging techniques. A moderate pace, careful motivation and more than 70 exercises give students confidence in handling risk assessments in modern finance. Provides a solid foundation in modern risk management techniques Assumes only basic calculus and linear algebra as prerequisites Exercises range from simple verification to more challenging problems [-]

Mastering Mathematical Finance Online Courses - Discrete Models of Financial Markets

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox–Ross–Rubinstein (CRR) binomial tree model. [+]

Best Courses in Financial Mathematics in United Kingdom 2017. 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 consilidate 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 aproximately 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 Discrete Models of Financial Markets This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. Relatively elementary mathematics leads to powerful notions and techniques - such as viability, completeness, self-financing and replicating strategies, arbitrage and equivalent martingale measures - which are directly applicable in practice. The general methods are applied in detail to pricing and hedging European and American options within the Cox–Ross–Rubinstein (CRR) binomial tree model. A simple approach to discrete interest rate models is included, which, though elementary, has some novel features. All proofs are written in a user-friendly manner, with each step carefully explained and following a natural flow of thought. In this way the student learns how to tackle new problems. Written specifically at the Master's level by experienced lecturers, so readers can dive in directly The mathematics is rigorous but also motivated, so readers see how to apply what they learn Clear, concise and short, so readers can master the whole topic [-]

Mastering Mathematical Finance Online Courses - Probability for Finance

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. [+]

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 consilidate 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 aproximately 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 Probability for Finance Students and instructors alike will benefit from this rigorous, unfussy text, which keeps a clear focus on the basic probabilistic concepts required for an understanding of financial market models, including independence and conditioning. Assuming only some calculus and linear algebra, the text develops key results of measure and integration, which are applied to probability spaces and random variables, culminating in central limit theory. Consequently it provides essential prerequisites to graduate-level study of modern finance and, more generally, to the study of stochastic processes. Results are proved carefully and the key concepts are motivated by concrete examples drawn from financial market models. Students can test their understanding through the large number of exercises and worked examples that are integral to the text. Real-world examples motivate and illustrate the mathematics Exercises range in difficulty to challenge even the most advanced student Solutions to exercises are available online [-]

Mastering Mathematical Finance Online Courses - Stochastic Interest Rates

Department of Mathematics University of York - Online Programs
Online Part time 4 - 8 months August 2017 United Kingdom York

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. [+]

Best Courses in Financial Mathematics in United Kingdom 2017. 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 consilidate 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 aproximately 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 [-]