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Recognition of Prior Learning (RPL) is the transfer of credit towards your program from another institution, or past course completed at ���������¼�.

In limited cases, students with previous postgraduate or honours-level coursework, including Honours graduates from ���������¼�, may receive advanced standing/recognition of prior learning. Advanced standing will only be granted for courses at the honours or postgraduate (PG) level, not courses at the undergraduate (UG) level. Students must apply for advanced standing and the School of Mathematics and Statistics will determine if the student’s completed coursework is deemed equivalent to ���������¼� counterparts.�� Advanced standing is not guaranteed.

There is a limit to the number of courses permitted in each program to receive credit. i.e.,��

• A limit of 24 UOC (4 courses) in the programs 8750, 8161 & 8719��

• A limit of 36 UOC (6��courses) for the programs 8959 and 8518�� ��

• A limit of 12 UOC (2 courses) for the programs 5959, 5659, 5518��

• A limit of 6 UOC (1 course) for the programs 7659, 7959��

Please refer to the for program codes.��

If you would like to apply for RPL, please use this .�� You will be required to provide the Course Outline and Transcript for your prior course and nominate a specific ���������¼� course that you think is equivalent for consideration.

Master of Data Science & Decisions program

If you completed the ���������¼� undergraduate 3959 Bachelor of Data Science & Decisions program and received a mark of 65 or above for one of the following UG courses, you can receive an exemption from studying the equivalent core postgraduate course within the 8959 Master of Data Science & Decisions program only, as follows:������

• If 65+ mark achieved in 3959 program COMP2521 = substitute COMP9024 in the 8959 program with a prescribed elective listed from the specialisation.

• If 65+ mark achieved in 3959 program COMP3311 = substitute COMP9311 in the 8959 program with a prescribed elective listed from the specialisation.��

• If 65+ mark achieved in 3959 program DATA1001 = substitute DATA9001 with a prescribed elective listed from the specialisation.����

While advanced standing will not be granted to UG courses, exemptions may be granted to UG courses which are deemed equivalent to a 'core' course with an ECON or COMP prefix.

Master of Mathematics, Statistics and Financial Mathematics��

You can have an exemption from taking the PG core, if you have completed the equivalent undergraduate course at ���������¼� and have achieved a mark of 65 or higher.

• MATH3261 = MATH5285 - Fluids, Oceans and Climate (in 8518 program
• MATH3311 = MATH5335 - Computational Methods for Finance (in 8161 program)

Exemptions require an additional Elective to be chosen within the program if granted.

New students should bookmark this website: ""��

You will need to take some time to settle in, find your way around the websites provided here, to have a stress-free start and feel familiar with the campus location by knowing your way around.����

Consider an early visit on campus to find all room locations in advance to avoid arriving late or lost on your first week!�� ��This website provides all you need: i.e., maps, public transport, security on campus, all facilities and key dates for terms.��

Also, explore the ���������¼� Food and Retail on campus online in advance, you'll be amazed.����

��is where you find information on Academic Consultation weekly times with your Course Convenor.�� Consultation sessions allow you to meet with your Course Convenor in a personal setting and ask questions. Make sure you stay on track and read all course announcements.�� You can find the Course Outline in Moodle.��

There is a large amount of research that indicates a strong link between in-person class attendance and better academic performance (higher marks).�� On-campus attendance provides opportunities to network with other students and staff, it's more fun than staying at home, and is great for physical and mental health reasons.�� ��

A large range of activities and interest groups you can get involved in are provided by ARC ���������¼� Student Life by visiting the ��website.����

Visit campus on Orientation Week, opens in a new window to sign up for clubs and societies, get free food and merchandise, join events, and attend workshops.�� Bookmark the website, it will keep updating over the year.����

You can keep on track with a .�� the Planner is for all terms, it lists the start and finish dates, study breaks, public holidays, and the exams period. It's available for free online or from the ���������¼� Bookshop where you can request a hard copy.��

��

​For all general enquiries about your program, please email the School Postgraduate email��pg.MathsStats@unsw.edu.au�� We will aim to respond to you in a timely manner.

You can email this account about: course selection, academic support, enrolment support, and progression enquires. ��Note: ​Full Class requests and clashes are managed quickly when the school is contacted directly via our email.   ​��

​Please communicate with us using your official ���������¼� student email and include your zID in all communications with us.��

Additional helpful resources:

• Nucleus Hub:​��/student/contact-us​
• All webforms are listed in this weblink: ​​
• ​International Student Support (ISS):​����/study/your-future/international-student-support​�� -��Contact the ISS Office for Visa or COE issues.
• Library: ​
• English language success: ​
• Academic skills: ​
• Student life: ​
• Writing skills:

• Learing Python; there are many resources on YouTube for learning Python. It is hard to recommend any one because it depends which course our students are going to do. It is best to ask the course lecturer for advice or look through the course outline for the course you are going to take.�� Here are two links which may help.��

20 Best YouTube Channels to Learn Python in 2025 -

Best YouTube Channels to Learn Python | Top 12 in 2024 -

When you are admitted to a program and have an ongoing disability or illness, or a recently diagnosed medical condition (can be physical or mental), please arrange a meeting with the Equitable Learning Services (ELS) staff.��

• Visit the website and download the form required for your doctor to complete.​

• ​

• ​

• We recommend you fill in the form with your doctor prior to your first meeting with ELS.​This step will save time if you bring the completed document to your first appointment with the Equitable Learning Services unit. ​

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Course selection help and ongoing progression information��can be found in��myPlan����

The School's Postgraduate Courses webpage offers an annual glance of all our course offerings. The 2026 page of annual course offerings is now provided.����

When considering your progression plan, you can refer to��MyPlan��or the ��for more course information, noting on the right-hand margin there are links to the Course Outline, Class Timetable and Term offerings.����

All School of Mathematics & Statistics course offerings (with either MATH or DATA prefix) should allow you to enrol automatically.�� The pre-requisites for MATH and DATA courses are presumed to have met via the Admissions process.�� ��

Please check the pre-requisites for other courses, such as COMPXXX, ECONXXX, FINSXXX, ACTLXXX, and if you experience errors when trying to enrol, please submit a , to apply for rule waiver for that pre-requisite, enrolment will be automatic if approved.

If you encounter any errors when enrolling in a MATH or DATA course, please email the School of Mathematics and Statistics directly (pg.MathsStats@unsw.edu.au) for support. Please ensure you include your student zID number.

Where possible, we encourage you to attempt all core courses as early in your program as possible.����

8161 Master of Finacial Mathematics program

MATH5816 (T3) requires as a prerequisite MATH5975 (T1). Therefore, MATH5975 needs to be taken before MATH5816.����

Compulsory core courses for 8161 Master of Financial Mathematics and terms offered:��

• (6 UoC, offered in Term 1)��
• (6 UoC, offered in Term 1)��
• (6 UoC, offered in Term 1)��
• (6 UoC, offered in Term 2)��
• (6 UoC, offered in Term 3)��

8750 Master of Statistics

Compulsory core courses for 8750 Master of Statistics and terms offered:��

• �� (6 UoC, offered in Term 1)����
• (6 UoC, offered in Term 1 and 3)��

8719 Master of Mathematics��

There are no core courses for the program.

8959 Master of Data Science and Decisions

The 8959 program has many core courses. Please review advice and contact the School if you have any questions.��

Within the 8959 program, the ECONZT8959 and ECONZS8959 specialisations, advice from the School of Economics is if you are commencing in Term 3, then enrolment in ECON5111 should be undertaken in Term 2 in Year 2 as it is pre-req for some specialisation courses.�� ��If commencing in Term 3, ECON6202 should be undertaken in Term 1 Year 3.�� ��

Graduate Certificate and Diploma Degrees

For the Graduate Certificate and Graduate Diploma programs (7659 / 5659; 7959/5959; or 5518) please refer to the advice.�� Any variation will need to be approved by the School via email.��

The 2-step enrolment process consists of:��

1.�� �� Annual enrolment: Enrol in all courses appropriate in your program. You can follow the MyPlan progression advice or the .�� ��

2.�� �� Class registration: When the course timetable becomes available to class register, the university provides a date and time when you are able to self enrol.  This is based on a staggered system where students with the highest UOC completed go before the lower UOC completed, for fairness.  Courses can fill up quickly, so you should enrol as soon as possible when your allocated time opens to “class register”. You will be advised on the date class registrations open via email.  Otherwise, refer to Key Dates to know when the Course Timetable is published for each term.�� website.��

Class registration is the process where you select the Lectures, Seminars, Tutorial and Labs (where applicable). If you have problems registering into MATH or DATA courses, please email the School directly and include your zID number.����

In the Orientation Week for all terms, the Central Hub will drop any student who has not yet class registered.�� To avoid being dropped from your course, please ensure you class register before Tuesday in Orientation week.��

If you encounter problems with courses that are non-MATH or DATA, please submit a .��

If you have a clash with a MATH or DATA course, you should class register into all your other courses and submit a to request help with the clash enrolment.������

The School of Mathematics and Statistics level 5 / 6 courses have Seminars��(ie., equivalent to Lectures). The course may conduct an in-class assessment and these are normally during the Seminar, Tutorial or Lab time.��

Clashes permitted are always to miss the lecture hour/s because it is recorded.�� The exception is when there is an assessment, then the student must attend with their cohort noting the��clash permitted cannot be used as special consideration for not attending.��

Weekly tutorials or Lab classes are not permitted to be missed due to the clash.�� ����

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Students who wish to consolidate their background in applied mathematics are recommended to take:��

• MATH5700 Modern Differential Geometry and Topology​

• MATH5705 Modern Analysis​

• MATH5706 Modern Algebra​

Students who wish to consolidate their background in��pure��mathematics��are recommended to take:​

• MATH5605 Functional Analysis​

• MATH5735 Modules and Representation Theory

Students who don't have a strong statistic's��studies background are recommended to take:​

• MATH5846 Introduction to Probability and Stochastic Processes (Not available in all Programs)

• MATH5856 Introduction to Statistics and Statistical Computing (Not available in all Programs)

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The School of Mathematics and Statistics manages enrolments in all MATH or DATA courses.

For School of Mathematics and Statistics PG program student enrolment requests, due to a reserved capacity error, we encourage you to email��pg.MathsStats@unsw.edu.au with your request for help to enrol.

Waitlists are prioritised based on core course requirements and are preferred to a full class request webform submission.�� Please attempt to join a waitlist or contact the School.

Waitlist openings: If you do not currently have a full course load and have no clashes, if a spot opens up in a course, then your enrolment will be automatic. It is important that you monitor your enrolment.

If you have a full-time load and join a waitlist, you must provide the course code for the course to drop when a place becomes available. Overloading is not automatically approved via the Waitlist; your request to enrol in a course will not proceed if you don't show the course to drop or places are not available for the requested course.����

Students in external programs must submit the����if it is not possible to enrol due to an error received in the process, for reserved capacity or full class request.

All School of Mathematics & Statistic MATH or DATA course offerings should allow students to enrol themselves automatically.��

Prerequisites for MATH / DATA courses are presumed to be met via the Admissions process.�� Please check the for prerequisites for external courses, such as COMPXXX, ECONXXX, FINSXXX, ACTLXXX, for example, submit a����if you are facing errors when enrolling, to request support.�� ��

If you have any errors when enrolling in a MATH5XXX or DATAXXX course, please email the School directly -��pg.MathsStats@unsw.edu.au for support, always include the course code, your name and student zID.

Course Structure

• Lectures are formal structured presentations given to all students enrolled in a course (also known as Seminars).​
  • Lectures are recorded for most courses.​
• Tutorials or labs are small-group settings to review material and go through practice questions.​
  • Tutorials/labs are not usually recorded.​
  • Good opportunity to ask questions.​
• Attending tutorials/labs is highly recommended for the best learning experience.
• Visit :�� Lectures, Tutorial & Group Work information and Discussion skills.����

Each of the three terms are 10 weeks long (9 weeks of teaching with a 1 week break typically in week 6); there is��a����Date in week 4.����Please note you may drop a course without financial or academic penalty if done before the Census date.

Before considering discontinuing from a course, you should assess your progress in week 3, other considerations before discontinuing are:

• Is the course a required course?

• When will the course be offered again? Some courses are only offered once a year.��

• Is the course you are discontinuing a pre-requisite course for future courses?

• If you are an international student would the discontinuation affect your Visa requirements or would you be classified as Reduced Load?

• The first few weeks are very important.  Many students may make a slow start in the first weeks of university life due to adjusting to university and/or being in a different country and education system. Try and aim to commence your University Program on a strong pathway rather than struggling to get back on track due to poor performance.

• Help is available across the School of Mathematics and the University. Do not be afraid to discuss any issues you may encounter with your peers or fellow class participants.��

Term Structure

• Each teaching period consists of 10 weeks
  • Weeks 1-5, 7-10: normal timetable.​��
  • Week 6: "flexibility week"​
    • Usually no lectures or tutorials (but check timetable)​
    • It is recommended to use this opportunity to catch up
• Study period​
• Final exams conducted in the ���������¼� Exam period.��

• Moodle Course
• Contains all important course information.​
• All course announcements go to your ���������¼� email address.​
• Check your student email address regularly!​
• Course Lecturer will contact you through Moodle.��
• Read the course outline.​
• Keep track of assessment dates.​
• See the contact information for your lecturer.​
• Reference the reading list if there are recommended textbooks.

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To apply for an Internal Program Transfer (IPT), you must have completed a minimum of one term of study and have good standing.  You can apply to have your qualifications assessed and approved for internal program transfer by submitting��the����linked here,��linked here, including with supporting documentation.

Please also be aware when applying for Internal Program Transfer and you are a Domestic student granted a Commonwealth Supported Place (CSP) in your current program, there is no guarantee that a CSP would be available in your requested new program. This process is not handled by the School of Mathematics and Statistics.

The School of Mathematics and Statistics Director for Postgraduate Coursework Studies, must approve overloading requests, they are not automatic.��This University is used to apply.����

���������¼� Faculty of Science Overloading policy is linked here to provide reference.

Please note that overloading is strictly not permitted if you are undertaking any of the following Masters Group Project courses.��

• MATH5005 (6UOC) / MATH5006 (6UOC)
• DATA5011 (6UOC) / DATA5012 (6UOC)�� ��
• MATH5207 (6UOC)����
• MATH5925 (12UOC)��
• DATA5925 (12UOC)

���������¼� Resources

We recommend that you attend the��'Academic Success and your visa' workshops. SDI runs 5 workshops offering students practical, useful, and time-tested strategies that are applicable to university study.��For further information and to

Support to improve Academic Performance:��

• Library: ​

• English language success: ​

• Academic skills: ​

• Student life: ​

• Writing skills:

Studying full-time can leave little time to study if you are also committed to paid work. If you find yourself in financial difficulties, you can seek the following University services for assistance:

• Student loans from ���������¼�.
• Youth Allowance, Austudy and Abstudy payments from Centrelink.
• HECS-Help��is a loan from the Australian Government that you can use to pay your student contribution amount.
• FEE-HELP is a loan from the Australian Government to pay all or part of your fees when you study a higher education course at an approved higher education provider.
• Assistance for International students.
• Scholarship opportunities.

For further information please go to the ���������¼� Financial Support page

���������¼� Psychology and Wellness are available Monday to Friday to help all students with

• counselling for individuals.
• support and transition to university.
• motivational support.
• personal skills development.
• psychological services.
• anxiety and mood management.
• stress management programs.

provides confidential, short-term psychological counselling to currently enrolled students, as well as a range of workshops and digital self-help resource. Additional services can be located on the links below:

• On campus ���������¼� Health Service is available to book appointment to see a General Practitioner or Specialist.
• On campus are available 24 hours a day, 7 days a week, providing safety escorts to accompany you on campus and operating the free night shuttle bus.��Security Operations��are your first point of contact for any incident or emergency on campus.

1.��������Group Project - Masters Thesis Projects (1 term - 12 UOC)

• MATH5925 (for 8750, 8161 or 8719 programs); topics are mostly in the areas of Mathematics, Statistics or Financial Mathematics.�� �� �� �� �� �� �� �� ��
• DATA5925 (for 8959 programs)
• By default, students undertake the group project (except Master of Physical Oceanography).
• Project topics and Supervisors will vary each term.

Email pg.MathsStats@unsw.edu.au requesting enrolment or use webform:����

Group Project WAM Recommendation: It is recommended that students have a WAM of 65+ when enrolling in the group project. However, all students will be allowed to enrol regardless of WAM. Students with a WAM below 65 may find the project challenging and may need to spend extra time in order to sufficiently contribute to the project (see advice below).

If a student contributes significantly less to the group project than is expected, he or she may receive a lower mark than the other members of the group. Please refer to the Masters Project Guidelines document��for further information.

Advice and Recommendations: If you are intending to enrol in MATH5836 Data and Machine Learning course, it is recommended that you enrol in the course prior to the project course.

• Requesting enrolment early ensures you have a spot and graduate on time. We need to allocate supervision resources for enrolment numbers.

• You are required to submit the "" webform, anywhere up to a year in advance. The webform link to the webform is also found permanently on Page 1, within the Masters Project Guidelines document.

• The strict deadline: Thursday BEFORE O-week of your project term.

• If you do not request enrolment by the deadline, you are NOT guaranteed a spot in the project course. Therefore, submitting early is highly suggested.

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2.��������Individual Project (2 consecutive terms – 12 UOC)

• MATH5005 / MATH5006 (for 8750, 8161 or 8719 programs)

• DATA5011 / DATA5012 (for 8959 program)

• MATH5207 (for 8518 program)��

You need to find your own supervisor, well in advance of when you want to start a project. Please communicate with potential supervisors to work out a topic and supervision arrangements.

Individual Project WAM Recommendation: WAM of 85+. Students will be permitted to enrol into the project if they have a Supervisor, who has agreed to supervise their project, even when the WAM is lower than recommended.

These projects are suited to students who want to pursue a PhD or research career in the future, or who want to do a project in pure or applied maths.�� All students in 8518 Physical Oceanography, are required to take the individual project course MATH5207 over 3 consecutive terms.

��

​

• Good standing is if you Failed fewer than 12UOC. ​
• PG Academic Risk is if you failed between 12 and 18 UOC : Make an appointment with��the Nucleus Hub – via their webform��
• PG Academic Suspension is if you failed between 19 UOC and 35 UOC: If you wish to appeal your suspension, you must first make an appointment to talk to��Director of Postgraduate Coursework Studies (Dr Libo Li)�� pg.MathsStats@unsw.edu.au

��

The Australian Mathematical Sciences Institute (AMSI) offers a limited number of summer courses each year

• The AMSI courses can only be taken as an elective for Master of Statistics, Master of Mathematics, or Master of Financial Mathematics students.�� Please refer to the School website link provided below on how to seek approval.��
• When approved for enrolment by AMSI and ���������¼� we will process enrolment in ���������¼� MATH5015 (6 UOC) course for AMSI enrolment in Term 1.​ School consent is required for enrolment process by the school, overloading up to 24 UOC in Term 1 permitted with MATH5015; The cross-over is minimal (week 1, Term 1).�� ��

�����dzܰ������​

The school website:��/science/our-schools/maths/student-life-resources/honours-year/amsi-summer-school-course-approval

AMSI School of Mathematics and Statistics Guidelines can be downloaded��here!

Important ​note:����Due to program requirements, both 8959 Masters of Data Science and Decisions and 8518 Masters of Physical Oceanography programs are excluded from AMSI enrolment offerings to count as credits.��

Your constructive feedback is welcome, we also want to provide opportunity for further suggestions to make this page useful to all, starting or near to end of program students.����

Optional webform submission link:��

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