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Non-Accredited Training Applied Statistics


This program will give you the skills and understanding to analyse statistics for your own or for an organisation's needs. You can choose to study one or more units in a flexible individualised learning environment.

Qualification: Non-Accredited Training - Applied Statistics
Program No: XA-FE02
Campus: CIT Reid 
Duration: Part-time, online or mixed online/classroom tutorials, self-paced. Duration dependents of number of subjects selected, the student's prerequisite skills and knowledge, and the hours/week of study.
Likely Job Outcome: Professional development.
Application Type: Register Your Interest

Entry Requirements / How to Apply

Descriptive Statistical Analysis, a subject which is part of this program, provides you with the underpinning skills and knowledge for success in the other subjects included in this program. You will be required to study this subject before undertaking other subjects unless you are able to demonstrate the skills and knowledge it contains. It may be that this is the only subject that you choose to study.

Before you apply/enrol

To study any course at CIT (excluding degrees and non-accredited training) you must have a Unique Student Identifier (USI). This includes new students and re-enrolling students.

If you don't have a USI that's ok, you can apply right now. It only takes two minutes, just go to

Already have one? Great! Verify it in our student administration system now so your enrolment or graduation isn't delayed. (New CIT students will not be able to do this until they have been given their CIT number which will be given to you when you apply to study most CIT courses).

  1. Login to CIT Self Service
  2. Click on the link for USI
  3. Verify your USI

It's important that your first name, surname and date of birth in our student system match the ID you use to create your USI (eg if you are Christopher in USI database and Chris at CIT your USI will not verify).

If you need assistance you can go to Unique Student Identifier (USI), drop in to any CIT Library or CITSA office or contact CIT Student Services on 6207 3188.

Transition Information

Qualifications at CIT are regularly updated or replaced to meet current industry needs and maximise your employment opportunities. If this occurs while you are part way through a qualification, you may need to vary your learning to meet the new national requirements. CIT will aim to make this as smooth as possible for you.

Subject Cancellations/Changes

To ensure positive outcomes for all students, CIT may need to cancel or change classes at short notice. CIT will make every effort to inform students as soon as changes are made and will also make every effort to offer alternative arrangements for students to meet the requirements of the subject and complete their qualification. In an unfortunate instance when this cannot be met, you will receive a full refund. Please ensure you maintain current contact details via CIT Self Service or by contacting CIT Student Services at

Subject Information

Core - complete 1 subject

Not all subjects are available at all times. Availability depends on student demand.
  • Descriptive statistical analysis
    • CIT Code: MATH229
      Cost: $440
      Description: This subject provides an introduction to statistics by describing methods of collecting, processing and displaying data so that its properties may be illustrated and reasonable conclusions drawn.
      Prerequisites: Nil
  • Linear regression and correlation
    • CIT Code: MATH222
      Cost: $440
      Description: This subject formally introduces the student to the idea of the 'line of best fit' for bivariate data and enables them to use the concept of correlation to judge the strength of the linear relationship between two variables. Students will learn to determine whether a linear relationship exists between empirical variables, estimate the parameters for the relationship, determine the strength of association between the variables, and make interpretations and predictions from a consideration of the results of the statistical analysis and the data.
      Prerequisites: Nil
  • Analysis of variance (one way)
    • CIT Code: MATH223
      Cost: $440
      Description: This subject introduces the student to the idea of analysis of variance and its applications.
      Prerequisites: Nil
  • Exponential and logarithmic functions
    • CIT Code: MATH224
      Cost: $440
      Description: This subject is to prepare students for the algebra and calculation skills they will require in the `time series and index numbers' subject.
      Prerequisites: Nil
  • Time series and index numbers
    • CIT Code: MATH225
      Cost: $440
      Description: This subject is to introduce the concepts of time series and index numbers, to develop computational skills with the relevant formulae, and gain an appreciation of how these concepts are utilised.
      Prerequisites: MATH222 Linear regression and correlation
      MATH224 Exponential and logarithmic functions
  • Multiple regression and correlation
    • CIT Code: MATH226
      Cost: $440
      Description: This subject extends simple regression and simple correlation by investigating relationships that may exist involving three or more variables. The student is introduced to a range of multiple regression and correlation techniques which facilitate the solution of practical problems.
      Prerequisites: Nil
  • Experimental design and multi-way analysis of variance
    • CIT Code: MATH227
      Cost: $880
      Description: There are advantages to be obtained in experimenting with several factors at the one time. This subject extends one-way analysis of variance to two-way and higher-way experiments and provides the student with the techniques to analyse and design such experiments.
      Prerequisites: Nil
  • Forecasting
    • CIT Code: MATH228
      Cost: $880
      Description: Forecasting is an estimation of the future based on the past and a judgement of the future. Hence forecasting is an important aspect of decision making and so is relevant to all vocational areas.
      Prerequisites: MATH222 Linear regression and correlation
      MATH225 Time series and index numbers

Related Courses

Certificate IV Laboratory Techniques MSL40116
Certificate III Laboratory Skills MSL30116

More Information

For more information about this course please contact CIT Student Services on (02) 6207 3188 or email