The University of Newcastle, Australia
Fast facts
Location

Online

Start dates
  • No further intake
Mode of delivery

Online

Duration

1 year full-time or part-time equivalent up to 4 years maximum.

Program code: 40195

Program handbook

Description

The Graduate Diploma of Data Science and Analytics is an AQF level 8 program offered as an exit award from the 1.5 year Master of Data Science.


Program learning outcomes

On successful completion of the program students will have:

  • Specialised knowledge of statistical and computational techniques and proficiency in their application for analysing and interpreting data sets
  • Analytical problem solving to support data management and data-orientated decisions
  • Specialised skills to use contemporary Big Data technologies
  • Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science.

Details

Information correct as at24 Nov 2020 7:25 am
Program code40195
AQF level

Level 8 Graduate Diploma

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

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Admission information

Admission requirements

The Graduate Diploma of Data Science and Analytics is an exit award only. The pathway to entry is via the Master of Data Science.

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

80 units

Program duration

1 year full-time or part-time equivalent up to 4 years maximum.

Program requirements

To be awarded the Graduate Diploma in Data Science and Analytics, students must successfully complete 80 units comprised of:

  • 40 units of Core courses
  • 30 units of Directed courses, and
  • 10 units of Electives

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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Program Requirements

Core Courses

Complete the following core courses to fulfil the requirements of this program

CodeTitleTerm / Location Units
COMP6140Databases and Information Management
  • Semester 2 - 2020 (Callaghan)
  • Semester 2 - 2020 (ONLINE)
10 units
INFT6201Big Data
  • Trimester 3 - 2020 (Callaghan)
  • Trimester 3 - 2020 (ONLINE)
10 units
STAT6001Data Wrangling and Visualisation
  • Semester 1 - 2020 (ONLINE)
  • Semester 2 - 2020 (ONLINE)
10 units
STAT6020Predictive Analytics
  • Semester 2 - 2020 (ONLINE)
10 units

Program Requirements

Program Directed A

Choose 10 units from the following Program Directed A courses.

CodeTitleTerm / Location Units
STAT6160Data Analytics for Business Intelligence
  • Semester 1 - 2020 (ONLINE)
  • Semester 2 - 2020 (ONLINE)
10 units
STAT6170The Science of Data Interrogation
  • Semester 1 - 2020 (ONLINE)
10 units
Program Directed B

Choose any 20 units from the below

CodeTitleTerm / Location Units
BIOS6050Statistical Inference
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6061Clinical Trial Design
  • Semester 2 - 2020 (ONLINE)
10 units
BIOS6070Linear Regression Modelling
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6150Research Project in Medical Statistics
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6170Foundations of Probability Theory
  • Semester 2 - 2020 (ONLINE)
10 units
BIOS6940Generalised Linear Models
  • Semester 2 - 2020 (ONLINE)
10 units
BIOS6990Applied Longitudinal Analysis
  • Semester 2 - 2020 (ONLINE)
10 units
COMP6230Algorithms
  • Semester 2 - 2020 (Callaghan)
10 units
COMP6340Data Mining
  • Semester 2 - 2020 (ONLINE)
10 units
COMP6350Advanced DatabaseNot currently offered10 units
COMP6380Machine Intelligence
  • Semester 1 - 2020 (Callaghan)
  • Semester 1 - 2020 (ONLINE)
10 units
EPID6420Fundamentals of Epidemiology
  • Semester 1 - 2020 (Callaghan)
  • Semester 1 - 2020 (ONLINE)
  • Semester 2 - 2020 (ONLINE)
10 units
EPID6430Advanced Epidemiology
  • Semester 2 - 2020 (Callaghan)
  • Semester 2 - 2020 (ONLINE)
10 units
INFT6009Cloud Computing and Mobile Applications for the Enterprise
  • Trimester 2 - 2020 (Callaghan)
  • Trimester 2 - 2020 (ONLINE)
10 units
INFT6304Project Planning and Management
  • Trimester 2 - 2020 (Callaghan)
  • Trimester 2 - 2020 (ONLINE)
  • Trimester 2 - 2020 (Sydney CBD)
10 units
INFT6800Professional Practice in IT
  • Trimester 2 - 2020 (Callaghan)
  • Trimester 2 - 2020 (ONLINE)
  • Trimester 2 - 2020 (Sydney CBD)
10 units
INFT6900Information Technology Project
  • Trimester 3 - 2020 (Callaghan)
  • Trimester 3 - 2020 (ONLINE)
20 units
SENG6051Web Technologies
  • Semester 2 - 2020 (Callaghan)
10 units
SENG6110Object Oriented Programming
  • Trimester 1 - 2020 (ONLINE)
  • Trimester 1 - 2020 (Sydney CBD)
  • Semester 1 - 2020 (Callaghan)
  • Semester 2 - 2020 (Callaghan)
  • Trimester 3 - 2020 (ONLINE)
  • Trimester 3 - 2020 (Sydney CBD)
10 units
SENG6120Data Structures
  • Semester 1 - 2020 (Callaghan)
10 units

Electives

Choose 10 units from any 3000, 4000 or 6000 level courses.

Complete 10 units of electives to fulfil the requirements of the program. Electives can be used to extend and complement your core studies with more courses in the same field of study, or from areas that might be of interest to you. Electives can be chosen from all courses available at the University that do not have any other conditions (such as a course requisite) applied to them.

10 units

Additional information

All students can access free academic skills and support provided by Academic Learning Support through the Pathways and Academic Learning Support Centre.

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.