| Duration | 12 Years |
|---|---|
| Level | Masters Program |
- This course, offered by the Department of Computer Science and the Department of Economics, allows to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management.
-
Skills that students will acquire include the ability to:
- analyse, critically evaluate, and apply methods of computational finance to practical problems, including pricing of derivatives and risk assessment
- analyse and critically evaluate methods and general principles of computational finance and their applicability to specific problems
- work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
- analyse and critically evaluate applicability of machine learning algorithms to problems in finance
- implement methods of computational finance and machine learning using object-oriented programming languages and modern data management systems
- work with software packages such as MATLAB and R
- work with Relational Database Systems and SQL
| Fees components | Amount |
|---|---|
| Tuition & fees | 2180530 INR |
| Hostel & Meals | 690163 INR |
| Transportation | 105477 INR |
| Books & Supplies | 38032 INR |
| Personal Expenses | 253550 INR |
| Travel | 101420 INR |
| Total | 1188642 INR |
Entry Criteria
| Class 12th | No specific cutoff mentioned |
|---|---|
| Bachelors | 60.0%
|
| Exams | IELTS: 6.5
PTE: 61
|
Contact form
