Mathematical Finance and Financial Time Series Analysis
calendar_month 29 Iul 2015, 00:00
The Programme covers the fundamental knowledge in financial engineering, which is a highly specialised and rapidly growing area. You will be able to explore the computational skills as well as the underlying mathematical and statistical theory to prepare for a career on the computational end of quantitative finance. The program is both technical and pragmatic. In Mathematical Finance, you will first learn to examine the financial derivatives using a continuous-time approach, then analyse a range of discrete time financial models and investment models. In the 3rd week of the program, you will start the econometric modelling of financial time series. You will learn various methods of fitting linear and non-linear models to time series data, statistical validation and their use such as forecasting and simulation u sing the statistical package SAS%C2%AE. There is also a social programme which will allow for a more informal experience of British culture and to interact with other students from different cultures.

Course leader

Target group
The Programme is ideal for students based overseas who would like to experience studying abroad and also gain a valuable insight into the fascinating yet challenging field of quantitative finance.

Course aim
On completion of the programme you will have been given an opportunity to: 1. acquire knowledge and problem-solving abilities in new or unfamiliar environments within broader contexts; 2. communicate conclusions and the knowledge and rationale underpinning these, to specialist and non-specialist audiences, clearly and unambiguously; 3. demonstrate the ability to work professionally with a considerable degree of independence.

Credits info
9.9 ECTS This is a three week programme and is equivalent to an accredited undergraduate course (30 UK credits) and is delivered by University faculty who are experts in their field.

Fee info
GBP 2500: The fee includes all tuition fees, including assessment (where applicable), self-catering accommodation, and a programme of social events.

Partner discount:Students registered at one of our exchange or Universitas 21 partner institutions will receive a discount of 150. Further discounts are available for students from Universitas 21 partners.

University of Birmingham
Address: International Relations Edgbaston, Birmingham, University of Birmingham
Postal code: B15 2TT
City: Birmingham
Country: United Kingdom
Phone: +44(0)1214143694