Overview

This is an advanced-level mathematical course in linear, conic and discrete optimization for postgraduate students from all disciplines. Optimization is the mathematical problem of finding a decision to achieve the best possible outcome while satisfying certain restrictions. Linear optimization, conic linear optimization and discrete optimization problems are basic building blocks … For more content click the Read More button below.

Delivery

Multimodal - Standard (usually weekly or fortnightly)

Please note that the above delivery information is an indication on how this course may be delivered within the year.  Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

This Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

Fees

TypeAmount
Commonwealth Supported Students (if applicable)$516
Domestic Students$4170
International Students$5940

Disclaimer

Where a fee is displayed as “Not Applicable”, including some Work Experience and UNSW Canberra courses, please contact the relevant Faculty for any enquiry.

Note that the University reserves the right to vary student fees in line with relevant legislation. The fee information is provided as a guide and more specific information about fees, including policy, can be found here.

Commonwealth Supported Students:

Please refer to the information about new Student Contribution band classifications. Note that grandfathering arrangements are applicable for some cohorts of students, and other special arrangements apply for a limited number of programs. The Field of Education displayed on the right-hand side of this page may be applicable in understanding which fee rate will apply to you.

Where a Commonwealth Supported fee is displayed it does not guarantee that such places are available.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions