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RMIT University

  • 45% international / 55% domestic

Bachelor of Science (Statistics) (Honours)

  • Bachelor

This honours program provides you with foundation research skills to underpin your future career as a researcher or practitioner in statistical sciences.

Key details

Degree Type
Bachelor
Duration
1 year full-time
Course Code
BH063, 065137A
Study Mode
In person
Intake Months
Feb, Jul
International Fees
$32,640 per year / $32,640 total

About this course

This honours program provides you with foundation research skills to underpin your future career as a researcher or practitioner in statistical sciences.

Specifically, honours students develop:

  • communication skills
  • critical thinking capability
  • experience in analysis and problem solving
  • knowledge of research theory and methods
  • research independence and capacity for self-directed learning

Research experience gained as part of an honours program is required for most academic and research positions, and increasingly for positions in other sectors of industry.

In consultation with the program coordinator and your potential supervisor, you will be allocated a project that aims to complement your skills and areas of interest.

As an intending RMIT statistics honours student, you are eligible to attend the AMSI Summer School of Mathematics, and apply for financial support to do so.

Additionally, you may also apply for the AMSI Vacation Research Scholarships for intending honours students where you will have the opportunity to work on a six to 12-week research project and receive support to attend the AMSIConnect conference.

Honours projects

The projects are developed specifically for honours students and may be a preliminary exploration, a smaller component of a bigger research project or part of an existing collaboration with industry.

Discipline areas include:

  • analysis: survival data, reliability, exploratory data, time series, sequential, decision
  • data mining, machine learning
  • game theory and applications
  • nonparametric statistical techniques
  • optimisation and applications
  • statistical quality control
  • sport, bio, financial, multivariate statistics
  • supply chain, and stochastic modelling
  • queueing theory and applications

A list of current projects is available from the

Entry requirements

The highest level of education you have previously completed will determine which category applies to you.

Applicants with Higher Education study

You should have completed an undergraduate degree in statistics or a related field with a Cumulative Grade Point Average (CGPA) of 2.5 out 4.0.

Applicants with recent secondary education (current or within the past two years)

Secondary education (Year 12) is not considered for entry into this program.

Applicants with Vocational Education and Training

Vocational education and training (VET) is not considered for entry into this program.

Applicants with Work and Life Experience

Work and life experience is not considered for entry into this program.

Study locations

Melbourne City

Graduate outcomes

Graduate satisfaction and employment outcomes for Science & Mathematics courses at RMIT University.
83%
Overall satisfaction
88%
Skill scale
72%
Teaching scale
58.2%
Employed full-time
$52.2k
Average salary