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Postgraduate Coursework

Master of Data Science

2021

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Overview
Location
SATAC Code
UAC Code
Casuarina Campus (FF)
1CM611
873290
Online (FF)
1CM611
873290
* CSP = Commonwealth supported place
FF = Full fee
Location
CRICOS Code
Casuarina Campus
096278J
Course Duration
Full-time
2 year/s
Part-time
4 year/s
Availability for Admission
Domestic
Semester 1
Semester 2
International
Semester 1
Semester 2
Applications accepted through MyNextCourse
No
Can offers be deferred?
No
CDU Reference
CDU Course Code

SDASC2

Award
Master of Data Science
Faculty/College
College of Engineering, IT and Environment
Sector
HE
Area of study
Engineering and IT

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.

Career opportunities

Graduating from Master of Data Science may lead to career opportunities as a business analyst, data scientist, data analyst, data engineer or data manager.

Professional recognition

This course is designed to meet Australian Computer Society requirements at Professional level.

Credit transfers & 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

International applications

English Language Requirements for International Students

For detail on English Language Entry Requirements please read the entry requirements provided for International students.

How to Apply

International applicants apply directly to CDU and should refer to the information provided for International future students Apply.

  • This course is being accredited for delivery in 2021.

  • Australian qualification framework

    This course is recognised in the Australian Qualifications Framework at Level 9.

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)

Course structure

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.

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.


  • 2021 HE unit offerings and unit fees are not yet available however will be published no later than 1 December 2020.
  • 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 type Credit Points Specific 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:

BUS501 Decision Making
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 Total 160cp  

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


  • 2021 HE unit offerings and unit fees are not yet available however will be published no later than 1 December 2020.
  • 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 Unit SE = Specialist Elective R = Research

 

Semester 1 Semester 2
Year 1
HIT234 Database Concepts CO HIT137 Software Now CO
PRT520 Principles of Computing Systems CO HIT140 Foundations of Data Science CO
PRT531 Business Intelligence and Data Mining CO HIT220 Algorithms and Complexity CO
PRT551 Project Management, Risk and Reliability CO Specialist Elective SE
Year 2
PRT564 Data Analytics and Visualisation CO PRT563 Advanced Data Management CO
PRT574 Security Assessment in Software Development CO PRT565 Machine Learning and Artificial Intelligence CO
PRT820 Master Thesis (20cp) R PRT820 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 1 Semester 2
Year 1
    HIT137 Software Now CO
    HIT140 Foundations of Data Science CO
    HIT220 Algorithms and Complexity CO
    Specialist Elective SE
Year 2
HIT234 Database Concepts CO PRT563 Advanced Data Management CO
PRT531 Business Intelligence and Data Mining CO PRT565 Machine Learning and Artificial Intelligence CO
PRT551 Project Management, Risk and Reliability CO PRT820 Master Thesis (20cp) R
PRT564 Data Analytics and Visualisation CO    
Year 3
PRT520 Principles of Computing Systems CO    
PRT574 Security Assessment in Software Development CO    
PRT820 Master Thesis (20cp) R    

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Course fees

Non-Commonwealth supported places

Full fee paying places are available in this course.
2020: Information about fees and charges can be found at Fees and Payments.
2021: Information about fees and charges for 2021 are not yet available however will be published prior to 1 December 2020.

Domestic students - postgraduate studies

SATAC

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

 

SATAC

UAC

UAC is the application channel for residents of NSW.

 

 

 

UAC

Are you applying as an International Student?

Everything you need to know to apply

How to apply for international students

Applications to CDU must be submitted online.

 

The process is simple, all you need is a valid email address to create your online account.

 

Once you have started the application you will have the option of saving your application and resuming it at a later date.

 

There is no application fee when you apply online.

Find a CDU agent partner

Applicants may seek further information about international education in Australia from theAustralian Government Department of Education and Training or from our overseas / external representatives.

 

To help with the process, we've compile a list of authorised representatives.

Not sure if you are a domestic or international student?

That's OK - it can be a little tricky to know the difference.

 

To help you out, we've put together a guide to answer any questions you might have.

 

Things like the difference between domestic and international students or the difference between course types like VET and undergraduate.

Are you applying as a Domestic Student?

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