Dublin City University - MSc Financial & Industrial Mathematics

This programme is about high-level mathematics applied to practical problems in finance and industry. It is designed for holders of a honours B.A. or B.Sc. in Mathematics (or a closely-related field) who want to gain a working knowledge of up-to-date financial and industrial modelling, thereby opening up a new career opportunities for themselves.

Course Description:

The programme is a nine-month full-time programme with seven 30-hour modules of lectures given over two semesters. Projects relevant to industry and business are assigned in December. Students are encouraged to take up any projects from industry which become available during their year, provided these are at an appropriate level of difficulty. It is expected that students commence work on the project in February and the submission date is in June.

2009-10 Course Structure:

Year 1 Core Modules:
MS407M Probability and Finance I
MS412M Partial Differential Equations
MS427M Financial Economics I
MS450M Financial Computing
MS510 Project
MS568 Project Skills
MS570 Semester I
MS571 Semester II

Year 1 Optional Modules:
Code Title Credit Semester
EF520M Financial Engineering
MS405M Stochastic Finance
MS408M Probability and Finance II
MS413M Dynamical Systems
MS502M Modelling with Partial Differential Equations
MS505M Coding and Cryptography
MS551M Monte Carlo Methods in Finance

Global Derivatives View:

The program is probably more oriented to recent undergraduates within a relatively quantitative discipline who are looking for some insights in the financial markets. Although we would view the range of finance courses on offer as being slightly limited - in that the main topics covered are probability & finance and financial economics. As the program has some weighting on Industrial Mathematics, it is interesting to see courses such as Cryptography and dynamical systems included in the optional modules - courses which could perhaps be of interest for those looking to enter the security industry.

Key Stats:

Acceptance Rate: 42%
Annual Intake: 20
Application Deadline: Friday nearest to Jun 15th for admission in September.
Average Age at Entry: 90% of candidates under the age of 22.
Average Years of Work Experience of Class:
Dissertation/Thesis: Yes
Duration of Program: 12 Months (Full Time)
Entry Requirements:
--- II.1 grade in a traditional Honours degree in Mathematics or a closely related subject. Candidates with other backgrounds (including Mathematical Studies degrees) will be assessed on an individual basis.
--- TOEFL requirement: 215 (computer based test), 550 (paper based test)
GMAT:
Language Taught: English
Placement Rate: 80% within 3 months of graduation, 100% within 6 months.
International Students: 20%
Required Courses for Completion: 8 modules
Student-Teacher Ratio: 4:1
Tuition (2010): Local (EU): €4,572, Foreign (Non-EU): €7,144

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