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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
Onshore - Semester 1, Semester 2
Offshore - 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.

International tuition fees

The annual tuition fee for full time study is AUD $29,616.00. This equates to $3,702.00 per 10 credit point unit (0.125 EFTSL).
These fees are subject to increases annually, effective at the start of each calendar year.

You can find a list of International fees and payments you can expect to pay as part of your studies in Australia.

CDU offers a number of scholarships to international students to assist with the cost of study.

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, 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.


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:

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 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

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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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 the Accelerated International Masters Qualifying Program (ZAMQP1) 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 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 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.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.

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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