The University of Newcastle, Australia
Fast facts
Location

Online

Start dates
  • Semester 1 - 24 Feb 2020
  • Semester 2 - 20 Jul 2020
Mode of delivery

Online

Duration

1 year part-time up to 3 years maximum.

UON program code: 40162

Program handbook

Description

A Graduate Certificate in Data Science from the University of Newcastle will provide you with the specialised skills to extract and communicate information from data. If you’re already a Data Scientist, or working in a related industry, this program will expand your practical skills and give you knowledge of the latest developments in the industry.


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 analysing and interpreting data sets.
  • Critical thinking and analytical problem solving to support data management and data-oriented decisions.
  • Specialised knowledge and skills required to use contemporary Big Data technologies to store, manipulate and analyse large unstructured data sets.
  • Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science.

Details

Information correct as at7 Dec 2019 12:16 AM
Program code40162
AQF level

Level 8 Graduate Certificate

Locations and UAC codes
Mode of delivery
  • Online
Duration
  • Australian students - 1 year part-time.
Assumed knowledgeA background in Mathematics, Engineering, Science, Psychology, Computer Science, Health, Statistics and/or related field.
Term typeSemesters and Trimesters
Fees
Managing faculty
  1. Faculty of Science
Contributing schools
  1. School of Electrical Engineering and Computing
  2. School of Mathematical and Physical Sciences
Relevant University rules and policies

Click on the headings to show/hide sections of content. Hidden information will not be printed. Hide all sections

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.


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 40 units of Core courses.


Program plans

Download a program plan for further details on what you will study. Please refer to the program plan for the year that you commenced or transitioned into this program.


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.

Courses that are currently unavailable are hidden by default. You can show them by adjusting the advanced course filters above, or clicking the 'show all' links below each section.

Core Courses

Complete the following compulsory core courses

CodeTitleTerm / Location Units
INFT6201Big Data
  • Trimester 3 - 2020 (Callaghan)
  • Trimester 3 - 2020 (ONLINE)
10 units
STAT6001Data Wrangling and Visualisation
  • Semester 1 - 2020 (ONLINE)
10 units
STAT6020Predictive Analytics
  • Semester 2 - 2020 (ONLINE)
10 units
STAT6170The Science of Data Interrogation
  • Semester 1 - 2020 (ONLINE)
10 units

Additional information

All students can access additional learning development mechanisms provided by the Centre for Teaching and Learning.

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 Faculty 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.