Technology
Master of Data Science
- Domestic
- International
About Degree
A competitive edge in data science
Data is “the new oil” of the 21st century. Big data and data science are revolutionising many fields—from science and engineering to economics, the tech sector, and digital humanities.
Our Master of Data Science places you at the forefront of this new field.
We give you the knowledge and skills to discover patterns and generate insights from complex datasets. Our flexible program structure lets you customise your study to the areas you care about. You’ll be taught by international research leaders in data science and machine learning. Finally, you’ll apply your skills in a research project and data science industry internship, to launch you into your next career.
What will you do during a Master of Data Science?
- Undertake a specialised introductory data science program in your first study period.
- Build core skills in programming (Python, R, and Julia), mathematics and statistical data science.
- Learn how data science techniques can drive changes in organisations, industries and communities.
- Use data to answer questions in your chosen areas of interest.
- Apply your learning in a significant research project or internship.
How will you study?
This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you. For further information, see the Degree Structure section.
Where could a Master of Data Science take you?
You might help large or small businesses use data to make more informed decisions in the face of uncertainty. You could analyse data to forecast trends and predict risk in industry, government, or science. Perhaps you’ll come up with innovative big data management systems as a data architect. Whatever you do, you’ll be at the cutting edge of one of the most rapidly-growing fields in the workforce right now.
This program is accredited by the Australian Computer Society (ACS) .
Entry Requirements
Choose your applicant type to view the relevant admissions information for this program.I am a:
- Domestic
- International
Domestic applicants
| SATAC Code | 3CM203, 3CM246 |
|---|---|
| Deferment | Yes - 2 year |
| Intake | January, May and September |
| Prerequisites | SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods. |
Selection Criteria
| Higher Education Study | A completed Bachelor's degree and a minimum GPA of 4.5 |
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Student Profile
| Applicant background | Semester one/Full year intake 2022 | |
|---|---|---|
| Number of students | Percentage of all students | |
| International students | 45 | 84.9% |
| All students | 53 | 100.0% |
International applicants
| CRICOS | 107542C |
|---|---|
| Intake | January, May and September |
| Australian Year 12 | SACE Stage 2: Mathematical Methods . IB: Mathematics: Applications and Interpretations (HL) or Mathematics: Analysis and Approaches (SL) MathTrackX is an online bridging program available as a recognised alternative to Mathematical Methods. |
| International Qualifications | Mathematics |
Selection Criteria
English Language Requirements
| Australian Year 12 | Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject | ||||||||||||
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| English Tests accepted by the University of APSB |
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| Qualifications that meet minimum English requirements | A range of alternative qualifications may meet the University’s minimum English requirements | ||||||||||||
Academic Entry Requirements
Detailed information on international qualifications assessment
| Tertiary Qualifications | Bachelor degree or equivalent with a GPA of 4.5 | |
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How to Apply
Student Profile
| Applicant background | Semester one/Full year intake 2022 | |
|---|---|---|
| Number of students | Percentage of all students | |
| International students | 45 | 84.9% |
| All students | 53 | 100.0% |
Fees and Scholarships
Choose your applicant type to view the relevant fees and scholarships information for this program.I am a:
- Domestic
- International
Domestic applicants
| Indicative annual tuition fees | Australian Full-fee place: $41,000 |
Where the standard duration of the program is less than one year the full cost of the program is displayed.
Scholarships
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
International applicants
| Indicative annual tuition fees (24 units) | International student place: $48,500 |
Where the standard duration of the program is less than one year the full cost of the program is displayed.
More information on International Student tuition fees.
Scholarships
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Careers
Professional Accreditation
The Master of Data Science is accredited by the Australian Computer Society .
Potential careers
Database Coordinator, Systems Analyst, Business Analyst, Business Consultant, Business Data Analyst, Computer Scientist, Data Analyst, Data scientist , Scientific Data Analyst, Financial Systems / Computer Analyst, Information Analyst, Information Technologist, Information and Communications Technologist
Degree Structure
To qualify for the Master of Data Science, students must satisfactorily complete a program of study consisting of the following requirements with a combined total of no less than 48 units comprising:
- Five core courses to the value of 15 units
- Up to five Set A elective courses to the value of 15 units
- Two Set B elective courses to the value of 6 units
- A Research Project course to the value of 12 units
*For further information, please contact one of our friendly program advisors.
**Unless exempted, international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Study mode
This program is able to be studied in either part-time, standard full-time or accelerated mode—enabling you to undertake your studies at a pace and level of commitment that suits you*.
- Accelerated mode – 12 units (4 courses) per trimester
- Standard full-time mode – 24 units (8 courses) per year
- Part-time mode – 3 or 6 units (1 or 2 courses) per trimester
You can even choose the study load that works best for you at different times of the year.
Whatever mode you choose, our interactive blend of online and face-to-face learning supports you in fitting your study around other commitments—without compromising on authentic and immersive learning experiences.
*International students please note: accelerated study modes are subject to visa conditions. Please contact one of our friendly program advisors for more information.
Example Study Plan
| Core courses (15 units total) Students must complete all of the following |
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| Elective Set 1 (15 units total) Option 1: 5 courses* (3 units each) OR Option 2: 3 courses* (3 units each) plus ENG 7111 Internship (6 units) |
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| Elective Set 2 (6 units total) 2 courses (3 units each) |
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| Research Project (12 units total) |
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Assessment
Students are required to undertake a research project, give a public presentation, and write a report on their research. The project is normally completed over two consecutive study periods.
