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Introduction
Computational/Quantitative Finance
is a multidisciplinary programme that combines mathematics, finance and
computing with a practical orientation that is designed for high-calibre
students who wish to become professionals in the finance industry.
The curriculum is
multidisciplinary with coverage in the following areas:
-
Mathematical Theory
and Tools
-
Statistical Tools
-
Computing Theory
and Techniques
-
Financial Theory
and Principles
-
Core Financial
Product Knowledge
The explosive growth
of computer technology, globalization, and theoretical advances in
finance and mathematics has resulted in quantitative methods playing an
increasingly important role in the financial services industry and the
economy as a whole.
New mathematical and
computational methods have transformed the investment process and the
financial industry. Today banks, investment firms, and insurance
companies turn to technical innovation to gain competitive advantage.
Sophisticated mathematical models are used to support investment
decisions, to develop and price new securities and innovative products
or to manage risk.
With the forthcoming
implementation of Basel II, which requires quantitative modeling and
risk management, there will be a big boost in demand for quantitative
finance graduates.
Hence there is an
increasing demand from the industry for persons with high level of
quantitative and analytical skills. Singapore is a major international
financial centre and is well placed to meet the increased demand for
financial services in East Asia as well as developing into a major risk
management centre.
Career opportunities
are available in financial institutions such as banks, securities firms,
insurance companies, investment companies, IT firms that support the
financial institutions and multinationals. Graduates could find jobs
such as Financial Product Development and Pricing, Risk Management,
Derivatives Pricing, Hedging and Trading, Quantitative Modeling, IT
support for derivatives trading and risk management, Investment
decision support, quantitative portfolio management and asset management
and wealth management.
NUS B.Sc.
Computational/Quantitative Finance programme is uniquely positioned to meet this
demand . We are the only
comprehensive university in Singapore that has strengths in all the
above areas.
We offer the first and the most
established quantitative finance programme in Singapore.
Quantitative finance
courses enable students to have an integrated overview of how
mathematical methods and computing techniques are applied to finance.
Students will learn how to use quantitative tools using our state of the
art systems in the computing laboratory. The system in the laboratory is
the same as what practitioners use. Hence students will have a real life
experience of the financial markets.
With rapid
developments of new financial products requiring quantitative skills ,
the curriculum also provide students a solid financial product knowledge
and how to create new structured financial products.
The programme is conducted jointly by the Faculty of Science,
School of Business and School of Computing.
Programme Info
Click here
for a presentation of the general programme structure.
Admission Requirements
To apply for
this programme, applicants must satisfy all the following conditions:
1. Enrolled in
the Faculty of Science; and
2. Studied for
two semesters in NUS; and
3. Obtained a
CAP of at least 3.50 at the end of the second semester of study; and
4. Passed the
following four qualifying modules in the two semesters:
- CS1101 Programming Methodology,
- MA1102R Calculus,
- MA1101R Linear Algebra I,
- MA2216/ST2131 Probability; and
5. The group
average point (GAP) for the qualifying modules must be at least 3.50.
Application Procedure
Intake and Schedule
There is only one intake every year for the August
semester. Admission is on competitive basis as the programme has a small
quota.
Application
period will be announced on the department's homepage. Interested
candidates should check the web regularly in April/May for updates. They
may also email to AskMathUG
for information.
Schedule for 2009/10 admission exercise:
|
Application
deadline |
:
5pm on 5 June 2009 |
|
Interview |
: 10 - 12 June 2009 |
|
Result of
application |
: End June 2009 |
Download application form
Interview
Not all applicants
will be interviewed.
The list of students to be interviewed will be decided by the selection committee
during the reviewing period. The selection depends on several factors
including number and quality of applications.
Offer of Admission
Applicants who have been offered a place will be informed via email. They
should, therefore, provide valid email addresses and check for correspondence
diligently.
Those being offered admission are required to confirm acceptance via email
within a stipulated period. If the department does not receive any response
after the deadline, the offer will lapse and the vacant place will be offered to
an applicant at the top of the waiting list. The applicant who has failed to
respond in time will lose his place in the programme and the department will not
consider appeals.
Course Structure by Cohort
Students
who matriculated from 2004/2005 will graduate with B.Sc. And
B.Sc. (Hons) with Major in Quantitative Finance.
Students
who matriculated from 2002/2003 to 2003/2004 will graduate
with B.Sc. and B.Sc. (Hons) with Major in Computational Finance.
Students who
matriculated from 1998/1999 to 2001/2002 will graduate with
B.Appl.Sc. and B.Appl.Sc. (Hons) with Major in Computational
Finance.
(From 2007/2008, CF-coded modules are
re-coded with prefix QF)
Students
who matriculated in 1997/1998 or earlier will graduate with B.Sc. with
Major in Computational Finance.
For more information on admission requirements,
career prospects, different combination structures with major in Mathematics,
Applied Mathematics etc, refer to the FAQs on Quantitative
Finance major.
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