I wouldn't necessarily put numbers on one's aptitude for deciding whether or not you could successfully defend a thesis. My personal measure on how successful one would be in completing a Math Ph.
For my diploma thesis, I specialised Phd thesis mathematical finance numerical mathematics. Afterwards I started working as a consultant at d-fine GmbH in Frankfurt.
I applied for the MSc in Mathematical Finance at Oxford University because it is the perfect link between my academic experience and my daily professional routine.
Prior to this I studied physics and investigated cosmic structure formation. I am looking forward to the MSc in Mathematical Finance as a new challenge and an amazing opportunity to learn more about combining mathematical and computational skills in finance.
My great passion is drawing analogies between different financial mathematical models and equations portraying diverse physical processes.
It was therefore a natural step for me to move on from academia to consulting. Aiming to unveil the scientific basis of the financial world, moreover, I successfully applied for the part-time MSc in Mathematical Finance at the University of Oxford. Since graduation I have worked for a fintech and a consulting company where I got some theoretical knowledge and practical experience in finance.
Additionally I have passed all parts of the FRM certificate. I applied to the course to cultivate deeper knowledge in stochastic calculus and derivative pricing while studying in one of the most prestigious universities in the world. As a Quantitative Analyst at an energy trading company, my primary interests are commodities and the modelling of structured products.
Specialized in risk and finance topics we are mainly consulting banks in Europe. I had already the opportunity to work on a migration of two trading system instances. Migrating the valuation of financial instruments was an important part and aroused my interest to learn more about option pricing for instance or the nature of the sensitivities.
Having earned an excellent international reputation combined with solely positive feedback from business colleagues, this makes the programme in Mathematical Finance at the University of Oxford very attractive.
After finishing my master's degree in I joined d-fine as a consultant. Since then I've worked on several projects which exposed me to various topics in mathematical finance, Therefore, to me the MSc in Mathematical Finance constitutes a chance to gain a deeper understanding of the underlying methods as well as their applications.
I studied physics at the University of Rostock at a Master's level. Afterwards, I specialised in theoretical solid state physics and investigated excitons and their possibility of forming a Bose-Einstein condensate.
After obtaining my PhD, I changed careers and am now working as a consultant in the financial industry. I hope that the MSc in Mathematical Finance will widen my understanding of models used in this field and will help me solve problems that I encounter in my daily work.
After a career change to consulting in the finance sector, I hope that I can apply my research interests in differential geometry and geometric analysis to questions arising in mathematical finance.
During my undergraduate degree, I was a teaching assistant for the Maths department. Before joining the course, I work as an analyst for SFund, focusing mainly on providing financial outlooks for investment projects.
My main motivation for joining the MSc in Mathematical Finance is to further sharpen my skills in risk management and financial modelling and engineering, which are the core components of my future career. Please contact us for feedback and comments about this page.
Last update on 24 July - After the first year, all PhD students in residence enroll in PhD Dissertation Workshop (Topics in International Economics and Finance).
The workshop provides opportunities for advanced students to present papers and define thesis objectives. Math and Statistics Doctor of Philosophy (PhD) biomedical statistics, energy or financial markets, mathematical finance, actuarial science, geoscience, medical imaging, software and computer applications, and big data analysis.
Students will be required to submit and defend an original research thesis. Admission requirements and.
The Wisconsin Ph.D. Program in Finance prepares individuals for careers in research and teaching at the university level. The program is highly quantitative, providing a strong foundation in financial and economic theory, as well as in mathematical statistical techniques.
The following list includes the dissertation titles and job placements for our graduates in Finance. Carlos Avenancio- Leon, Indiana University-Bloomington.
The majority of students pursuing an NYU PhD finance degree or an online PhD finance degree have expertise in mathematical theory and computation skills. However, they lack the writing and editing skills that are essential for choosing dissertation titles in finance and writing the various sections of .
Nonlinearity, Physica A, Communications on Pure and Applied Mathematics, Mathematical Finance, Finance and Stochastics, Stohcastic Systems Co-organizer of the 3rd BU-Keio workshop on Probability and Statistics,