I am a prospective
student, looking to study at
Online
LocationOnline
Duration1 year part-time up to 3 years maximum.1 year full-time.
Mode of deliveryOnline
Start datesSemester 1 (21 Feb 2022), Trimester 2 (9 May 2022), Semester 2 (18 Jul 2022), Semester 1 (21 Feb 2022), Trimester 2 (9 May 2022), Semester 2 (18 Jul 2022),
FeesFind information about indicative course and program fees.
English proficiencyIELTS overall minimum - 6.5, IELTS section minimum - 6.0 Find out more about IELTS.
Program Code40155

Program handbook

Description

A Graduate Certificate in Data Analytics will provide you with the specialised skills to extract and communicate information from data. You will be equipped with the essential professional skills and knowledge to understand and engage with a variety of data, generated from diverse industries and settings.


Program learning outcomes

On successful completion of the program students will have:

  • Specialised knowledge of statistical and computational models and concepts and proficiency in their application.
  • Specialist knowledge in statistical and computational techniques for developing business intelligence.
  • Critical thinking and analytical problem solving to support data storage, manipulation and data-oriented decisions.
  • Specialised knowledge and decision-making skills required to inform business intelligence.
  • Effective independent and collaborative work skills to apply specialised knowledge and expert judgement through analytics.
  • Decision making skills to apply understanding of ethical and legal issues and manage risk.

Details

Information correct as at29 Nov 2021 3:42 am
Program code40155
AQF level

Level 8 Graduate Certificate

Locations and UAC codes
Mode of delivery
  • Online
Duration
  • Australian students - 1 year part-time.
  • International students - 1 year full-time.
Term typeSemesters and Trimesters
Fees
Relevant University rules and policies

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Admission information

Admission requirements

Admission to the program will be available for applicants who have

  • An AQF level 7 Bachelor degree or higher tertiary qualification OR
  • An AQF Level 6 Advanced Diploma or Associate Degree in a cognate area plus a minimum of one year relevant experience, OR
  • An AQF Level 5 Diploma in a cognate area plus a minimum of two years relevant experience, OR
  • At least 5 years relevant professional experience

To be considered for admission based wholly or partly on professional experience, applicants must be able to demonstrate that their professional experience involves accessing/analysing/interpreting data.

 

Minimum English language proficiency requirements

All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.

Applicants for this program must satisfy a minimum English Language Proficiency Standard equivalent to an IELTS overall minimum of 6.5 with no subtest result below 6.0. 


Credit transfer

If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.


Academic requirements for program completion

Total units required

40 units

Program duration

1 year part-time up to 3 years maximum.

Program requirements

The program requires the sucessful completion of:

  • 30 units of core courses
  • 10 unit directed course

Please note that enrolment in the STAT Directed Course, STAT6020 or STAT6100, will depend on your level of mathematical and statistical background.

If you do not have the assumed knowledge to enrol in STAT6020 you should enrol in STAT6100.

The assumed knowledge for STAT6020 includes the following:

  • It is assumed students have completed Year 12 HSC Mathematics Advanced or have an equivalent background in basic calculus and probability/statistics, as well as notions of elementary matrix algebra. In addition, ideally students will be better prepared to undertake STAT6020 if they also: (a) have had some previous exposure to computer programming or statistical software; and (b) have completed an introductory postgraduate or undergraduate statistics course, such as STAT6160, STAT6170, STAT1070, or STAT2010.

If you are unsure if you have the assumed knowledge for STAT6020 please contact the Program Convenor:GCDA-PC@newcastle.edu.au


Program plans

Download a program plan from the list below for the year/term that you commenced or transitioned into this program.

The Program Plan provides information on the structure and rules of your program. Used in conjunction with your Program Handbook, it is designed to be used as an enrolment guide.

You can track your progress by ticking off the courses you have completed and plan your current and future enrolment.


Program structure

Students are advised to read their program handbook information in conjunction with the program plans for course sequence/enrolment advice. Please refer to the Program Plan for the year that you commenced, or transitioned into, this program - Program Plans are available above.

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Core courses

CodeTitleTerm / Location Units
INFT6800Professional Practice in IT
  • Trimester 2 - 2022 (Sydney CBD)
  • Trimester 2 - 2022 (Callaghan)
  • Trimester 2 - 2022 (Online)
10 units
STAT6001Data Wrangling and Visualisation
  • Semester 1 - 2022 (Online)
10 units
STAT6160Data Analytics for Business Intelligence
  • Semester 1 - 2022 (Online)
  • Semester 1 - 2022 (Sydney CBD)
10 units

Directed courses

Choose 10 units from the following list. STAT6020 is recommended for students who meet the assumed knowledge and are considering completing the Master of Data Science. STAT6100 is recommended for students who do not meet the assumed knowledge for STAT6020.

CodeTitleTerm / Location Units
STAT6020Predictive Analytics
  • Semester 2 - 2022 (Online)
10 units
STAT6100Systems Thinking for an Integrated Workforce
  • Semester 2 - 2022 (Online)
10 units

Additional information

Through the Pathways and Academic Learning Support Centre, students can access a free suite of NUPrep preparation courses as well as Academic Learning Support.

Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through the Wollotuka Institute.


International students

All International Students enrolled in the program will be provided with an orientation to familiarise them with the rules, expectations, facilities and services offered by the University. Please visit our International Students website to find out more about the support services available to international students.


Additional support

AccessAbility provides advice and reasonable adjustments to Students with a medical or health condition or disability. If you require adjustments to undertake your program, contact the Student Support Advisors - AccessAbility before semester or early in the semester. They will work with the College or School to ensure that this happens in a timely manner.

Please note: All students must fulfil the inherent requirements of the programs and courses they are undertaking. While reasonable adjustments can be made, these adjustments cannot compromise academic integrity. It is the student's responsibility to check all the requirements of courses, and consider the effects of any medical condition or disability on their ability to complete course requirements. More information is available online.

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