Key details
Duration
Intake
Locations
Entry requirements
View full entry requirementsCredit points required
160Course code
Overview
The Master of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from large data sets. This course is designed for students both with and without a background in data science, information technology, information systems or equivalent. You will learn about the applications of data science in different real-world problems. Your coursework will include project-based assessments allowing you to focus on what you are passionate about.
Professional recognition
The Master of Data Science is accredited by Australian Computer Society at the level of ICT Professional, and is 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
Credit transfers and advanced standing
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.
Information about fees and charges can be found at Fees and Payments.
International tuition fees
Why study a postgraduate degree 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.
- #2 Australian uni for postgraduate employment outcomes (GUG 2024)
- Top 100 university globally for quality education
- Our graduates enjoy higher than average employment rates and starting salaries
Why study a postgraduate degree at CDU?
Study a postgraduate course at Charles Darwin University, the #2 Australian university for postgraduate employment outcomes (GUG 2024).
- Top 100 university globally for quality education (THE Impact Rankings 2021)
- Our graduates enjoy higher than average employment rates and starting salaries
Why study a postgraduate degree 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.
- #2 Australian uni for postgraduate employment outcomes (GUG 2024)
- Top 100 university globally for quality education
- Our graduates enjoy higher than average employment rates and starting salaries
Why study a postgraduate degree at CDU?
Study a postgraduate course at Charles Darwin University, the #2 Australian university for postgraduate employment outcomes (GUG 2024).
- Top 100 university globally for quality education (THE Impact Rankings 2021)
- Our graduates enjoy higher than average employment rates and starting salaries
What will I study?
The core units of this program will allow you to explore a range of data science concepts. The units will allow you to explore complementary areas of interest through additional coursework units, an industry placement unit or an IT thesis unit.
Course structure
A candidate must successfully complete units totalling 160 credit points (cp) as detailed below. All units are valued at 10 credit points unless otherwise indicated.
| Unit type | Credit Points | Specific requirements |
| Core Units (13 units) | 140cp | Compulsory Core units totalling 140 credit points as detailed below. HIT137 Software Now |
| Specialist Electives (1 unit) | 20cp | Specialist Elective unit totalling 20 credit points as detailed below. Select one of the units below: |
| 160cp | Total Credit Points |
Course Rules (unless otherwise indicated in the above course structure)
- See the Higher Education Course Rules (Award Requirements) in the Units and Courses Policy.
Study plan
STUDENTS COMMENCING IN SEMESTER 1
The Recommended Study Plan provided below is suitable for a student enrolling in a full-time study load. Students entering this course with advanced standing, or wishing to 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.
When designing an individual study plan:
- maintain the basic order in which units are to be attempted; and
- check the prerequisite and assumed knowledge for each unit as some units assume you have completed foundation unit/s in the unit area at a lower level.
| Legend: | CO = Core Unit |
Full-Time Study Plan
| Semester 1 | Semester 2 | ||
| Year 1 | |||
| HIT137 Software Now | CO | HIT140 Foundations of Data Science | CO |
| HIT234 Database Concepts | CO | PRT551 Project Management, Risk and Reliability | CO |
| PRT510 Professional Issues in Technology | CO | PRT575 Principles of Operating Systems, Networks and Cyber Security | CO |
| PRT581 Principles of Software Systems | CO | PRT565 Machine Learning, Artificial Intelligence and Algorithms | CO |
| Year 2 | |||
| PRT564 Data Analytics | CO | PRT532 IT Service Management | CO |
| PRT531 Business Intelligence and Data Mining | CO | PRT563 Advanced Data Management | CO |
| PRT604 Professional Experience (20cp) OR PRT840 IT Thesis (20cp) | CO | PRT661 Data Science Practice (20cp) | CO |
_____________________________________
STUDENTS COMMENCING IN SEMESTER 2
The Recommended Study Plan provided below is suitable for a student enrolling in a full-time study load. Students entering this course with advanced standing, or wishing to 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.
When designing an individual study plan:
- maintain the basic order in which units are to be attempted; and
- check the prerequisite and assumed knowledge for each unit as some units assume you have completed foundation unit/s in the unit area at a lower level.
| Legend: | CO = Core Unit |
Full-Time Study Plan
| Semester 1 | Semester 2 | ||
| Year 1 | |||
| HIT137 Software Now | CO | ||
| HIT140 Foundations of Data Science | CO | ||
| PRT565 Machine Learning, Artificial Intelligence and Algorithms | CO | ||
| PRT575 Principles of Operating Systems, Networks and Cyber Security | CO | ||
| Year 2 | |||
| HIT234 Database Concepts | CO | PRT563 Advanced Data Management | CO |
| PRT510 Professional Issues in Technology | CO | PRT532 IT Service Management | CO |
| PRT551 Project Management, Risk and Reliability | CO | PRT661 Data Science Practice (20cp) | CO |
| PRT564 Data Analytics | CO | ||
| Year 3 | |||
| PRT581 Principles of Software Systems | CO | ||
| PRT531 Business Intelligence and Data Mining | CO | ||
| PRT604 Professional Experience (20cp) OR PRT840 IT Thesis (20cp) | CO | ||
____________________________________________
STUDENTS COMMENCING IN SUMMER SEMESTER
The Recommended Study Plan provided below is suitable for a student enrolling in a full-time study load. Students entering this course with advanced standing, or wishing to 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.
When designing an individual study plan:
- maintain the basic order in which units are to be attempted; and
- check the prerequisite and assumed knowledge for each unit as some units assume you have completed foundation unit/s in the unit area at a lower level.
| Legend: | CO = Core Unit |
Full-Time Study Plan
| Semester 1 | Semester 2 | Summer Semester | |||
| Year 1 | |||||
| HIT137 Software Now | CO | ||||
| PRT551 Project Management, Risk and Reliability | CO | ||||
| Year 2 | |||||
| HIT234 Database Concepts | CO | HIT140 Foundations of Data Science | CO | ||
| PRT510 Professional Issues in Technology | CO | PRT575 Principles of Operating Systems, Networks and Cyber Security | CO | ||
| PRT581 Principles of Software Systems | CO | PRT565 Machine Learning, Artificial Intelligence and Algorithms | CO | ||
| Year 3 | |||||
| PRT564 Data Analytics | CO | PRT532 IT Service Management | CO | ||
| PRT531 Business Intelligence and Data Mining | CO | PRT563 Advanced Data Management | CO | ||
| PRT604 Professional Experience (20cp) OR PRT840 IT Thesis (20cp) | CO | PRT661 Data Science Practice (20cp) | CO | ||
Entry requirements
Admission criteria
Successful completion of a recognised bachelor degree or equivalent international qualification.
International entry pathway
Applicants who have completed the CDU International Masters Qualifying Program, the Accelerated International Masters Qualifying Program, or the International Masters Preparation Program 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. From 2025 ALL applicants will be required to supply evidence of this at the time of application. For further details on the English requirements for CDU courses, please refer to CDU English Language Proficiency Policy.
DOMESTIC STUDENTS
English language proficiency requirements - Domestic students
INTERNATIONAL STUDENTS
English language proficiency requirements - International students
Course specific English language proficiency requirements for International students are included below.
The minimum English language requirement for this course is met by either undertaking previous education from an English-speaking country or undertaking one of the following English language tests and obtaining the minimum requirements listed below.
| CDU English for Academic Purposes 4 (ZEAP40) | Successful completion of EAP004 English for Academic Purposes 4 |
| IELTS Academic Module (including One Skill Retake) | 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.
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
I have decided to stay in Darwin because I found an amazing job here. I wouldn’t be exposed to this variety of roles and experience anywhere else in Australia.
Srijana
CDU student
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
I have decided to stay in Darwin because I found an amazing job here. I wouldn’t be exposed to this variety of roles and experience anywhere else in Australia.
Srijana
CDU student
Course details
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
Contact details
For further information about the course, enrolment procedures, closing dates and other administrative issues please contact Student Central on:
You make CDU
Together we are a positive force for change in our communities and the world.
Learn about information technology at CDU
Kalyani is from India studying a Master of Information Technology (Information Systems and Data Science) at CDU. Hear more about her experience of studying, living, working and playing in Darwin, Northern Territory, Australia.
You make CDU
Together we are a positive force for change in our communities and the world.
Learn about information technology at CDU
Kalyani is from India studying a Master of Information Technology (Information Systems and Data Science) at CDU. Hear more about her experience of studying, living, working and playing in Darwin, Northern Territory, Australia.
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, NSW or TAS.
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.
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