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Key details

Duration

Not available full-time
1 year/s part-time

Intake

Semester 1, Semester 2

Locations

Casuarina campus, Online
Not available to international students.

Credit points required

40

Course code

UDASC1
SATAC/UAC codes

Overview

The Graduate Certificate of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from massive data sets.

This qualification complements the following multi-disciplinary areas:

  • computer science
  • information technology
  • information systems
  • statistics
  • mathematics
  • engineering or a program with substantial quantitative competencies.

Your coursework will also include a project-based assessment allowing you to focus on what you are passionate about.

Credit transfers and advanced standing

Pathways


Pathways for Higher Education to Higher Education

For information about credit transfer available to students with complete or incomplete study at this or other Institutions refer to Pathways for Higher Education to Higher Education

Credit transfer

For further information on credit transfer and how to apply visit ASK CDU

Fees

Non-Commonwealth supported places

Full fee paying places are available in this course.
2022: Information about fees and charges can be found at Fees and Payments.
2023: Information about fees and charges will be published no later than 1 December 2022.

Menzies Public Health Julie

Why study at CDU?

Study a postgraduate course at Charles Darwin University to upskill at work, fast-track your career, increase your job prospects or explore a new interest. We offer flexible study options so you don't have to put your life on hold while you learn.

  • #1 Australian uni for postgraduate employment outcomes (GUG 2022)
  • Top 100 university globally for quality education
  • Our graduates enjoy higher than average employment rates and starting salaries

What will I study?

The course consists of core units, specialist elective units and elective units. The core units of the course will allow you to explore a range of data science concepts.

Course structure

The specialist elective will allow you to study a complimentary unit in an area such as statistics and decision making.

The course stresses both the importance of theory and the application of theory in practice through projects and practical exercises.


  • 2023 HE unit offerings are not yet available however will be published no later than 1 November 2022.
  • Always refer to the Course Catalogue for the latest information about your course prior to enrolment.


A candidate must successfully complete units totalling 40 credit points (cp) as detailed below. All units are valued at 10 credit points unless indicated.

Unit typeCredit PointsSpecific requirements
Core Units
(3 units)
30cpCompulsory Core units totalling 30 credit points as detailed below.

PRT563 Advanced Data Management (replaces PRT561 from 2019)
PRT564 Data Analytics and Visualisation (replaces PRT562 from 2019)
PRT531 Business Intelligence and Data Mining (replaces BIS551 from 2020)

Specialist Elective
(1 unit)
10cpSpecialist Elective unit totalling 10 credit points selected from the following units.

BUS508 Business Analytics (replaces BUS501 from 2022)
ENV511 Statistical Methods for Impact Analysis
STA510 Business Statistics
PHM553 Biostatistics
 

 40cpTotal Credit Points

Students who commenced in or after 2013
The grade of "PC" cannot be counted towards a Graduate Certificate AQF Level 8 course award.
Students should refer to the current Grading Policy and Common Course Rules for further information.

Study plan


  • 2023 HE unit offerings are not yet available however will be published no later than 1 November 2022.
  • Always refer to the Course Catalogue for the latest information about your course prior to enrolment.

Students commencing in Semester 1 - Part time

The Recommended Study Plan provided below is suitable for a student commencing in semester 1 and enrolling in a part time load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.

Legend:CO = Core UnitSE = Specialist Elective
Semester 1Semester 2
Year 1
PRT564 Data Analytics and Visualisation (replaces PRT562)COPRT563 Advanced Data Management (replaces PRT561)CO
PRT531 Business Intelligence and Data Mining (replaces BIS551 from 2020)COSpecialist ElectiveSE

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Students commencing in Semester 2 – Part time

The Recommended Study Plan provided below is suitable for a student commencing in semester 2 and enrolling in a part time load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.

Legend:CO = Core UnitSE = Specialist Elective
Semester 1Semester 2
Year 1
  PRT563 Advanced Data Management (replaces PRT561)CO
  Specialist ElectiveSE
Year 2
PRT564 Data Analytics and Visualisation (replaces PRT562)CO  
PRT531 Business Intelligence and Data Mining (replaces BIS551 from 2020)CO  

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Entry requirements

Admission criteria

Successful completion of a recognised bachelor degree or equivalent international qualification with a major in computer science, information technology, information systems, statistics, mathematics, engineering, or a program with substantial quantitative competencies.

Consideration will also be given to applicants who have at least five years appropriate professional experience. Applicants must provide further documentation detailing their employment experience in the form of a curriculum vitae (CV) with their application.

Essential requirements

English language requirements

To gain entry into Charles Darwin University, all Higher Education applicants must satisfy the University's English Language Proficiency Requirements for their chosen course of study. International applicants will be required to supply evidence of this at the time of application.

The minimum English language requirement for this course is met by either undertaking previous education in an English-speaking country or undertaking one of the following English language tests and obtaining the minimum requirements listed below.

IELTS Academic ModuleA minimum overall score of 6.5 with no band less than 6.0.
Cambridge Advanced English (CAE)A minimum overall score of 176, with no skill below 169.
Common European Framework Certificate of English ProficiencyA minimum overall grade of C1, valid for three years from the date of the test to the date of commencement at CDU.
Pearson Test of English (PTE) Academic moduleA minimum overall score of 58 with no score lower than 50.
TOEFL Internet-based Test (iBT)A minimum overall score of 79 with a minimum writing score of 21.

* All tests are valid for two years from the date of the test to the date of commencement at CDU, unless otherwise specified.
* Where applicable, international applicants must also satisfy the Department of Home Affairs (DHA) English language requirements for student visa applications.

Do you have a question regarding English requirements at CDU? Please email: international@cdu.edu.au.

 

The people-first approach to flexibility and supportive learning environment at CDU meant I could find a balance with study, work and family life.

Nikki

CDU student

Nikki Govan

Course details

Accreditation

This course is accredited by the University in accordance with the Higher Education Standards.

Inherent Requirements

There are inherent requirements for this course. Students must read and understand the requirements for this course.

Australian qualification framework

This course is recognised in the Australian Qualifications Framework at Level 8.

Additional information

Can offers be deferred?
Yes
Award
Graduate Certificate of Data Science
Faculty/College
College of Engineering, IT and Environment
Sector
HE
Area of study
IT and Network Engineering

Contact details

For further information about the course, enrolment procedures, closing dates and other administrative issues please contact Student Central on:

Email:student.central@cdu.edu.auPhone:(08) 8946 7766 or 1800 061 963 (free call)

You make CDU

Together we are a positive force for change in our communities and the world.

How to apply

There are many ways to apply to CDU. The method you use depends on your course type, where you live and whether you are a new or returning student to CDU.

Remember to apply early for your best chance at securing an offer to study with us.

SATAC

SATAC is the application channel for residents of NT, ACT, SA, WA, QLD, VIC or TAS.

UAC

UAC is the application channel for residents of NSW.

SATAC/UAC codes

Location
SATAC Code
UAC Code
Casuarina campus (FF)
1GC534
871030
Online (FF)
1GC534
871030
* CSP = Commonwealth supported place
FF = Full fee

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