2018 Postgraduate Courses
  • Students are to follow the requirements of the Handbook for the year they commenced the course.

    However, the subject links below do not contain the subject information for the current year. You can view current subject information through the new Course Handbook.

Mathematics & Applied Statistics PhD (Integrated) Subject List | 2018

Mathematics & Applied Statistics

Subject Code Subject Name Credit Points Session(s)
Core Subjects
MATH907 Research Methods 6 Autumn
INFO911 Data Mining and Knowledge Discovery 6 Autumn
Choose ONE of the following two subjects:
MATH991 Project 12 Annual, Spring 2018/Autumn 2019
STAT991 Project 12 Annual, Spring 2018/Autumn 2019
PLUS a schedule of subjects from the list below, approved by the Head of Postgraduate Studies:
INFO912 Mathematics for Cryptography 6 Autumn
MATH902 Solution to Differential Equations By One-Parameter Groups 6 Not available in 2018
MATH941 Financial Calculus 6 Autumn
MATH942 Numerical Methods in Finance 6 Spring
MATH943 Practitioners' Seminars 0 Not available in 2018
HAS 940 Statistics in Health Research 6 Not available in 2018
STAT901 Modern Inference 6 Not available in 2018
STAT902 Advanced Data Analysis 6 Autumn
STAT903 Survey Design and Analysis 6 Spring
STAT904 Statistical Consulting 6 Autumn
STAT906 Experimental Design 6 Spring
STAT920 Stochastic Methods in Finance 6 Autumn
One of the following elective subjects may also be selected:
RESH802 Responsible Research 6 Autumn
GWP 800 Global Workplace Practice 6 Spring

Credit Arrangements

Information on academic and English language requirements, as well as eligibility for credit for prior learning, is available from the Course Finder

Other Information

Students are advised to consult the University's Higher Degree Research (HDR) Supervision and Resources Policy.  

For further information about the Faculty's areas of research strength, please consult the Faculty's website

For more technical information about the degree process, please consult the Graduate Research School website.  

For further information please email: eis@uow.edu.au

Last reviewed: 24 November, 2017