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  • Canberra Institute of Technology (CIT)

    Canberra Institute of Technology (CIT)

    This qualification will provide you with the skills and knowledge to be competent in a range of Heavy Commercial Vehicle Mechanical roles. You will gain and apply a broad set of skills and knowledge on a variety of heavy commercial vehicles in the automotive mechanical service and repair sector.

    Entry Requirements

    Early in the course your skills will be assessed - if you cannot read and write documents and complete maths work to the level needed you will be enrolled into additional subjects to help you build the skills needed to successfully complete the course.

    If you are entering this program as an apprentice/trainee you must:
    - be employed in the auto industry
    - be an Apprentice or Trainee under the Australian Apprenticeship Scheme (AAS) and be registered with an Apprentice Network Provider (ANP) prior to enrolment.
    - If you already have skills in this area, you may seek recognition for all or part of this course.

  • Massey University

    Massey University

    Master of Analytics

    Masters (Coursework)

    Massey's Master of Analytics will equip you with technical ability and competence in devising data-driven solutions. These are the skills needed to transform massive amounts of data into insights that enable better decision making and innovation both in the private and public sectors.

    Entry Requirements

    To enter the Master of Analytics you will:

    • have been awarded or qualified for a bachelor's degree in the subject in which you intend to specialise, or equivalent, with a minimum B grade average in the highest level courses
    • have sufficient background in statistical analysis tools to satisfy the Academic Board that you have the capacity to undertake the programme.

    You will provide the following documents:

    • Verified copies of all academic transcripts for studies taken at all universities other than Massey University.
    • Provide a current CV showing all relevant work experience with statistical software.