Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview


This unit discusses advanced statistical models and their inferential procedures, motivated and demonstrated with numerous applied examples. Where appropriate, the underlying general concepts and basic theory are discussed, within either a Frequentist or Bayesian framework, or both. Data sets are analysed using the statistical package R. Topics are selected from, but are not limited to: categorical data analysis, survival analysis, longitudinal data analysis, multilevel models, missing data analysis, (generalised) linear mixed models, non-linear regression, life/failure time analysis, time-to-event data analysis, predictive modelling, non-linear regression analysis, Bayesian data analysis, time series analysis, high-dimensional data, functional data analysis, likelihood modelling, actuarial statistics, multivariate statistical methods, non-parametric statistics and spatial statistics.

6 points
(see Timetable)
Semester 1UWA (Perth)Face to face
Details for undergraduate courses
  • Level 4 core unit in the 4 specialisation in the major sequence
  • Level 4 elective
  • Honours option in Mathematics and Statistics [Bachelor of Science (Honours)]

Students are able to (1) appropriately apply techniques from the chosen topics to real-world problems and communicate results in a logical and coherent fashion to others; (2) apply statistical reasoning in general to analyse the essential structure of problems in various fields of human endeavour; (3) extend their knowledge of statistical modelling techniques and adapt known solutions to different situations; and (4) undertake continuous learning in statistical modelling and inference, being aware that an understanding of fundamentals is necessary for effective application.


Indicative assessments in this unit are as follows: (1) end-of-semester examination and (2) in-semester tests and assignments. Further information is available in the unit outline.

Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Dr Nazim Khan
Unit rules

Course Enrolment in
the HON-MTHST Mathematics and Statistics [Honours]
or the MJD-CDSDM Computing and Data Science major
and STAT3062 Statistical Science
or STAT3401 Advanced Data Analysis
and STAT3064 Statistical Learning
Contact hours
3-hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.