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Key details

Duration

2 year/s full-time
4 year/s part-time
2 year/s full-time

Intake

Semester 1, Semester 2
On campus - Semester 1, Semester 2
Online - No

Locations

CDU Sydney, Casuarina campus, Online
CDU Sydney, Casuarina campus

Credit points required

160

Course code

SDASC2
SATAC/UAC codes

Overview

The Master 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.

Professional recognition

The Master of Data Science is accredited by Australia Computer Society at the level of professional and therefore recognised internationally under the Seoul Accord.

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, thesis research units, specialist elective units and general elective units. The core units of this program will allow you to explore a range of data science concepts.

Course structure

Research units will allow you to complete an individual research thesis in a chosen area under the guidance of an academic supervisor. The thesis can be carried out within a university, industry, or government setting. Specialist electives will grow your knowledge in areas such as advanced research methods, decision making and biostatistics.

General elective units will allow you to study complimentary courses or explore other areas of interests.

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

You can study a Master of Data Science online or on campus. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.


  • 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 160 credit points as detailed below. All units are valued at 10 credit points unless indicated.

Unit typeCredit PointsSpecific requirements

Core
(11 units)

 

 

 

110cp

 

 

 

Compulsory Core units totalling 110 credit points as detailed below:

HIT137 Software Now
HIT140 Foundations of Data Science
HIT220 Algorithms and Complexity
HIT234 Database concepts
PRT520 Principles of Computing Systems
PRT531 Business Intelligence and Data Mining
PRT551 Project Management, Risk and Reliability
PRT563 Advanced Data Management
PRT564 Data Analytics and Visualisation
PRT565 Machine Learning and Artificial Intelligence
PRT574 Security Assessment in Software Development
 

Specialist Electives
(1 units)

 

 

10cp

 

 

 

Specialist Elective units totalling 10 credit points selected from one of the options detailed below:

BUS508 Business Analytics (replaces BUS501 from 2022)
PHM553 Introduction to Biostatistics
PRT532 IT Service Management
STA510 Business Statistics

Research Units
(2 units)

 

40cp

 

Research totalling 40 credit points as detailed below:

PRT820 Master Thesis x 2 (20cp repeatable unit)

Course Total160cp 

Students who commenced in or after 2013
The grade of "PC" cannot be counted towards a Masters Degree by Coursework AQF Level 9 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

The Recommended Study Plan provided below is suitable for a student commencing in semester 1 and enrolling in a standard 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 ElectiveR = Research

 

Semester 1Semester 2
Year 1
HIT234 Database ConceptsCOHIT137 Software NowCO
PRT520 Principles of Computing SystemsCOHIT140 Foundations of Data ScienceCO
PRT531 Business Intelligence and Data MiningCOHIT220 Algorithms and ComplexityCO
PRT551 Project Management, Risk and ReliabilityCOSpecialist ElectiveSE
Year 2
PRT564 Data Analytics and VisualisationCOPRT563 Advanced Data ManagementCO
PRT574 Security Assessment in Software DevelopmentCOPRT565 Machine Learning and Artificial IntelligenceCO
PRT820 Master Thesis (20cp)RPRT820 Master Thesis (20cp)R

 

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Students commencing in Semester 2

The Recommended Study Plan provided below is suitable for a student commencing in semester 2 and enrolling in a standard 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.

Semester 1Semester 2
Year 1
  HIT137 Software NowCO
  HIT140 Foundations of Data ScienceCO
  HIT220 Algorithms and ComplexityCO
  Specialist ElectiveSE
Year 2
HIT234 Database ConceptsCOPRT563 Advanced Data ManagementCO
PRT531 Business Intelligence and Data MiningCOPRT565 Machine Learning and Artificial IntelligenceCO
PRT551 Project Management, Risk and ReliabilityCOPRT820 Master Thesis (20cp)R
PRT564 Data Analytics and VisualisationCO  
Year 3
PRT520 Principles of Computing SystemsCO  
PRT574 Security Assessment in Software DevelopmentCO  
PRT820 Master Thesis (20cp)R  

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Entry requirements

Admission criteria

Successful completion of a recognised bachelor degree or equivalent international qualification.

International entry pathway

International Pathway

Applicants who have completed the CDU International Masters Qualifying Program (ZMQP01 or ZMQP02) or the Accelerated International Masters Qualifying Program (ZAMQP1 or ZAMQP2) are eligible for entry.

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 9.

Additional information

Can offers be deferred?
Yes
Award
Master 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.

International applications

Applications must be submitted online through our application portal, Studylink. You'll need a valid email address to create your online account. Once you have started your application, you will be able to save it and resume it later. There is no application fee when you apply online.

You may be able to lodge a direct application; however, there may be restrictions on your geographic location. If you cannot submit a direct application via the application portal, please apply through one of our registered agents.

Apply through StudyLink or through an Agent.

SATAC/UAC codes

Location
SATAC Code
UAC Code
CDU Sydney (FF)
1CM634
873403
Casuarina campus (FF)
1CM611
873290
Online (FF)
1CM611
873290
* CSP = Commonwealth supported place
FF = Full fee

CRICOS codes

Location
CRICOS Code
CDU Sydney
109064A
Casuarina campus
103122M

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