Skip to main content

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.

CDU International Student in the library

Why study IT and network engineering at CDU?

From dealing with technology-related crimes to software engineering and data collection, an IT degree at CDU is tailored to industry demand. You'll graduate equipped with the technical and analytical skills to future-proof your career across multiple sectors.

  • #1 in Australia for learner engagement in computing and IT (GUG 2022)
  • #2 Australian uni for graduate employment outcomes (GUG 2022)
  • Use state-of-the-art technologies and methodologies

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.


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 type Credit Points Specific requirements
Core Units
(3 units)
30cp Compulsory 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)
10cp Specialist 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
 

  40cp Total 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

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

Top of Page

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

Top of Page

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 Module A 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 Proficiency A 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 module A 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.

 

CDU is a growing university and encourages people to grow as well. There are a lot of options and flexibility when it comes to study and the staff have always been helpful and supportive in making my dreams come true.

Sami

Dr Sami Azam

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.au Phone: (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

We’re here to help you

By submitting this form you agree to receive future student communications such as key date reminders, study tips, real student stories and more. Of course, you can unsubscribe at any time. See our privacy policy for more information.