Mathematics and Computing for Finance MSc - FUNDING AVAILABLE!  Mathematics and Computing for Finance MSc - FUNDING AVAILABLE! Swansea University ../webroot/files/Institutions/cover_photo/1534008767Swansea-University.jpg

Why not come and see Swansea for yourself? We have three Postgraduate Open Days each year (Autumn, Spring and Summer) which will give you the chance to find out more about our courses and funding, meet staff and students, and tour our outstanding seafront campus. See http:www.swansea.ac.ukpostgraduateopendays for dates and booking information _______________________________________________________________________________________________________________________ This MSc course has been designed to meet the growing demand for specifically trained mathematicians to work in the world s financial markets. The mathematics part of the course covers such topics as Stochastic calculus based on Brownian motion, L?vy processes, more general jump processes, the advanced Black-Scholes theory and parabolic differential equations. The computing training gives the students expertise in advanced IT skills such as Java programming, Mathematica, C++ and internet systems. The students will be required to undertake a project on mathematics or computing and its applications in the above areas so developing their communication and presentational skills. FUNDING: UKEU Students: The University has available 100 Masters Bursaries worth ?2,700 each towards fees for new UKEU students commencing Masters studies this September. Bursaries are available in every School and are available for full and part-time study. For further details see: http:www.swansea.ac.ukscholarshipstaughtmasters International Students: For details of scholarships for international students visit: http:www.swan.ac.ukscholarshipsInternational SCHEME AIMS: On completion of this programme, students should: - Have knowledge in depth in stochastic analysis and parts of advanced real analysis. (Fourier analysis and Partial Differential Equations) as well as parts of numerical analysis which are central for applications to finance - Have developed advanced computing skills being essential for handling problems relevant for a job on the finance markets - Have, as a mathematician, a good understanding of finance markets - Have developed skills needed to work in a highly inter-disciplinary profession, including advanced programming techniques and communication skills across the borders of different disciplines. KNOWLEDGE AND UNDERSTANDING: By the end of this scheme, students should be able to demonstrate a systematic knowledge and understanding of: - The core components of Stochastic Processes, Brownian Motion, L?vy Processes, Ito Calculus and Parabolic Partial Differential Equations - The inter-relationship between these areas of mathematics and the relations of these mathematical concepts to their applications - The core principles of finance markets and their role in modern economics, and how mathematics is used to implement models for finance markets - The handling of complex problems, especially in relation to finance, and how to use appropriate techniques SCHEME CONTENT AND STRUCTURE: This is a modular Masters scheme, consisting of Part One modules totalling 120 credits, and Part Two 60 credits. There are 60 compulsory credits in Part I and 60 optional credits to be selected from the modules listed below. COMPULSORY MODULES: - Brownian motion, SDEs and It? Calculus - Theory and Numerics of Parabolic Equations - Black-Scholes Formula and all that - Mathematics and Computing for Finance Project: Each student will be required to produce a thesis of 15,000-20,000 words, based on topics taught in the corequisite modules, and on published research in the fields. The completed project is to be submitted by end of September for assessment. OPTIONAL MODULES: 20 credits from: - Analysis of L?vy Processes (20 credits) - Martingales and Stochastic Processes (10 credits) - Markov Processes (10 credits) and 40 credits from: - Distributed Programming in Java (20 credits) - Designing Algorithms (10 credits) - Scientific Visualisation (10 credits) - AI Applications (10 credits) - Internet

A 2:2 Honours degree or equivalent in Mathematics, Computer Science or Engineering. IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.