Entry requirements
Completed a Mathematics or
Statistics program in a
Science or related program
area.
Sufficient mathematical/
statistical background.
An average of above 65% in
relevant 3rd year or higher
university mathematics or
statistics courses.
Students must maintain a
WAM of 65 or higher to
progress to the project.
MASTER OF SCIENCE & TECHNOLOGY
(MATHEMATICS)
PROGRAM CODE: 8718
The program is intended for students who have completed an
approved Bachelor degree in a relevant discipline, or other approved
equivalent academic and professional qualifications. This program
enables graduates to further their knowledge and skills in the
mathematical and statistical sciences. It also provides training for
professionals teaching mathematics in tertiary institutions and those
employed in the area of industrial mathematics.
The program consists of six lecture courses worth 6 units of credit
(UOC) each, and a supervised project worth 12 UOC. The project is
compulsory and taken in the 2nd semester of study. There are no
compulsory courses, other than the project. Students may choose
from a wide variety of courses within the School of Mathematics and
Statistics, or elsewhere within the University.
Program details
Duration: 1 year full time or
2 years part time
On campus teaching
Semester 1 entry (March)
or Semester 2 (July).
Application closing dates:
Entry for Semester 1 30th
November or 30th May for
Semester 2.
Further details
Prospective international
students will need to meet the
UNSW English language
requirements
To apply please go to the
For further information
following website:
Dr. Donna Mary Salopek
Postgraduate Coursework Co-ordinator
http://www.unsw.edu.au/
futureStudents/
postgradCourse/sad/
how2apply.html
Email pgmathsstats@unsw.edu.au
Web site: www.maths.unsw.edu.au
Ph: 61 2 9385-7030 or 9385-7053
CRICOS Provider Code: 00098G
Examples of electives available (Please note not all are offered every year)
ACTL5302
ACTL5303
MATH5165
MATH5185
MATH5305
MATH5335
MATH5605
MATH5705
MATH5735
MATH5785
MATH5805
MATH5806
MATH5815
MATH5816
MATH5825
MATH5826
MATH5835
MATH5836
MATH5845
MATH5855
MATH5875
MATH5876
MATH5885
MATH5895
MATH5905
MATH5915
MATH5916
MATH5935
MATH5945
MATH5960
MATH5965
MATH5975
MATH5975
MATH5985
MATH5995
Risk and Capital Management*
Asset-Liability Management*
Optimization
Special Topics in Applied Maths
Computational Mathematics
Computational Methods for Finance
Functional Analysis
Analysis
Modules & Representations
Geometry
Special Topics in Statistics
Applied Regression Analysis
Experimental Design
Continuous Time Financial Modelling
Measure, Integration & Probability
Statistical Methods in Epidemiology
Stochastic Processes
Data Mining
Time Series
Multivariate Analysis
Sample Survey Design
Data Management for Statistical Applications
Longitudinal Data Analysis
Nonparametric Statistics
Statistical Inference
Medical Statistics
Survival Analysis
Statistical Consulting
Categorical Data Analysis
Bayesian Inference & Computation
Discrete Time Financial Modelling
Introduction to Stochastic Analysis
Intro to Stochastic Analysis
Term Structure Modelling
Special Topics in Financial Mathematics
* You must seek permission from the School of Actuarial Studies to enrol
The 12uoc project MATH5925 is compulsory. Progression to the project is subject to academic
performance.
Students seeking to enrol in a project are required to have the approval of the PG Coordinator and normally will be required to have attained a WAM of 65 or higher in the first
four (4) master courses.
Students should also seek the guidance from the School at an early stage of study to ensure
that the study plan being followed is best suited to lead to the project. In addition, admission
to a particular project is subject to appropriate research and supervision resources being
available.
Students who do not attain a WAM of 65 or higher in the first four (4) courses of their
program will be required to transfer to Diploma in Mathematics and Statistics (5659) or the
Certificate in Mathematics and Statistics (7659) and complete either the Diploma or
Certificate program requirements, respectively.